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2001-01-0260

                                A Production Wide-Range AFR Control Algorithm
                                        for Direct-Injection Gasoline Application
                                                                                                                              Peter J. Maloney
                                                                                                                   Delphi Energy & Chassis Systems




Copyright © 2001 Society of Automotive Engineers, Inc.




ABSTRACT
                                                                                         Non-physical estimation and control functions were
    A Wide-Range Air-Fuel-Ratio (AFR) control                                        designed for application with time-based updates to
algorithm was developed for production application in                                minimize engine controller throughput demand.
Direct Injection Gasoline (DI-G) powertrains. The                                        Signal generator capabilities were built into the
algorithm controls AFR to a scheduled target by                                      algorithm to facilitate three-way catalyst perturbation
modifying open-loop fuel injection timing duration using a                           during stoichiometric control, simulate unknown control
Wide-Range AFR sensor measurement for feedback.                                      system disturbances during algorithm calibration, and
    A physically based hybrid State Estimator design                                 perform automatic catalyst efficiency sweeps.
was used to account for event-based engine delays and
time-based sensor measurement characteristics to                                     ALGORITHM PURPOSE
determine the error between target and measured AFR.
The State Estimator was designed to minimize algorithm                               The purpose of the Wide Range AFR Control (WRAF)
size, calibration burden, and engine controller                                      algorithm is shown below in Figure 1. The WRAF
throughput demand. A time based, gain-scheduled                                      algorithm modifies an open-loop injector pulse-width
Proportional-Integral control algorithm design was used
to correct AFR errors.


                                                            Adaptive
                                                          AFRFeedback
                                                                                                   Software
                                                            Algorithm                   Open-Loop
                                                                                          AFR
                                                         Adaptive      Closed
                                          Open-Loop      Multiplier     Loop
                                                                      Multiplier   Wide-Range                  Post-O2
                                            Fuel                                   AFRControl               AFRFeedback
                                          Algorithm     Open                        Algorithm FrontAFR        Algorithm
                                                        Loop                                     Sensor
                                                      Pulsewidth                              OffsetVoltage

                                  Open-Loop
                                    Inputs
                                                                         Injector
                                                                        Pulsewidth
                                                                                              Front
                                                                                           Wide-Range
                                                                                        AFR Sensor Voltage

                                                                                                             Rear
                                                                                                        Switching AFR
                                                                                                        Sensor Voltage


                                  Hardware                                              Warm-up
                                                                                        Catalyst
                                                                                                         NOx Adsorber




                                           Figure 1. Wide-Range AFR Control Algorithm Functionality
calculation using feedback from a Wide-Range AFR
sensor located close to the engine upstream of a warm-
up catalyst for fast AFR control capability. The WRAF                          Test Configuration
algorithm and feedback loop is shown with dark lines in
Figure 1.                                                    MY 1998 Mitsubishi Carisma, 3250 Lb I.W.C

    A stoichiometric switching AFR sensor was placed         1.8L DI-Gas Engine
downstream of the NOx adsorber to be used in
conjunction with a Post Adsorber Oxygen Sensor               Manual Transmission
Feedback Algorithm to correct the front WRAF sensor
voltage with an offset. Long-term pulsewidth multiplier      Delphi 32-Bit Engine Controller with Torque-Structure
corrections are stored in Powertrain Control Module          and WRAF software
(PCM) memory by an Adaptive AFR Feedback
algorithm.
                                                             Delphi 50 CUL Warmup Converter and 120 CUL NOx
                                                             Adsorber. 40 hrs fuel cut-off aging, Adsorber bed temp
The following design features were included in the
                                                             850 deg C
WRAF algorithm:
                                                             Delphi Electronic Throttle and EGR Actuators
•   Generality for both Port Fuel Injected (PFI) and Gas-
    DI applications
                                                             ETAS Wide-Range AFR Sensor AWS/LSU-4. 11 to 50
                                                             AFR measurement range.
•   Explicit accounting for event-based delays from the
    point of injection to the measurement location
                                                             Cold MVEG B emission cycle (1180 sec)
•   Explicit accounting for variation of WRAF sensor
                                                             Test Fuel: Similar to California Phase II:
    dynamics with operating conditions
                                                             Low Sulfur, 15 ppm by mass
                                                             H/C Ratio 1.797, O/C Ratio 0.015, Stoich. 14.16
•   AFR error signal availability in both open and           Emission Standard:
    closed-loop operation                                    0.1 g/km HC, 1.0 g/km CO, 0.08 g/km NOx
                                                             Emission Results:
•   Closed-loop operation under rich AFR conditions at       0.1 g/km HC, 0.4 g/km CO, 0.035 g/km NOx
    high engine loads                                                 Table 1. Gas-DI Euro IV Test Configuration

•   Catalyst perturbation under stoichiometric operating
    conditions with directly adjustable frequency and        Figure 2 below shows an example of WRAF control
    amplitude                                                capability at a 2000 RPM, 30 Kpa intake manifold
                                                             pressure, 3% throttle position operating point.
•   Sequential calibration steps with built-in calibration
    aids such as external disturbance, command input,
    and catalyst efficiency sweeps

    Maintaining fast, accurate AFR control in the
exhaust stream is important in Gasoline Direct Injection
(Gas-DI) engine applications because of the sensitivity
of NOx emissions to AFR errors under homogeneous
stoichiometric and homogeneous lean combustion
conditions.

RESULTS SUMMARY

The WRAF algorithm was used on a 1998 Mitsubishi
Gas-DI vehicle development platform to meet the Euro
                                                                AF




IV emissions standard. The vehicle was equipped with a
Delphi Engine Management System, including engine
controller and software, warm-up catalyst, and NOx
adsorber. A summary of the test configuration and test
results data are shown below in Table 1.
                                                                     Figure 2. Example of WRAF Control Capability
The bottom portion of Figure 2 shows the capability of                    solely a function of the time between engine fueling
the WRAF algorithm to follow an arbitrary AFR                             events (e.g. 4 events per engine cycle on a 4 cylinder
command input signal, composed of a sine-wave and                         engine application).
square wave combination. The high amplitude signal in
Figure 2 is the command AFR input, and the two low                        The lag dynamics of the WRAF sensor were modeled in
amplitude delayed AFR signals are estimated and                           the AFR Control Error Estimator to provide a good
measured AFR respectively.       The estimated and                        comparison basis between model and measurement in
measured signals are not the true AFR at the sensor                       constructing a Control Error Estimate. The model of
location because both signals account for the effects of                  sensor lag dynamics was designed to emulate analog
sensor attenuation on the measurement.                                    sensor subsystem behavior by using time-based
                                                                          calculation updates. Figure 5 shows the functionality
ALGORITHM DESIGN                                                          contained within the AFR Control Error Estimator Block
                                                                          of Figure 3. In the Control Error Estimator, the perturbed
The functionality contained within the WRAF control                       AFR command input is delayed and attenuated by the
algorithm block of Figure 1 is shown below in Figure 3.                   Engine Transport Delay and WRAF Sensor Lag Model
The WRAF algorithm is composed of three main sub-                         blocks respectively.
blocks allocated to error estimation, control, and AFR
perturbation for catalyst efficiency optimization.                        The Engine Transport Delay block is composed of an
                                                                          array of memory buffers, which store the 25 of the
ESTIMATOR DESIGN                                                          previous AFR commands on an event basis.               A
                                                                          calibration is used to determine which memory buffer to
The AFR Control Error Estimator block in Figure 3 is                      read as a function of engine operating conditions, so as
responsible for producing a leading estimate of fuel                      to synchronize the delayed, commanded AFR with the
control errors by comparing an open-loop commanded                        sensor measurement location.
AFR signal to a measured pre-catalyst Wide-Range AFR
sensor measurement. The estimated control error is a                      The WRAF Sensor Lag Model block contains a digital
dimensionless percentage value referenced to the open-                    first-order low-pass filter.  The filter time-constant
loop commanded AFR. The open-loop commanded                               characteristic is varied by means of a calibration that
AFR signal is received from the open-loop fuel algorithm                  changes with engine operating conditions to reflect
block of Figure 1 as a first estimate of the expected AFR                 changes in sensor dynamics.
in the exhaust system.
                                                                          The perturbed, delayed, attenuated command AFR is
To calculate the correct fueling error, the estimator must                then compared to measured AFR from the WRAF
account for the physical effects of transport delay across                sensor by the Disturbance Estimator PI block to produce
the engine and the effects of WRAF sensor lag                             a leading estimate of the AFR control error. The
dynamics as discussed in [1][2], and shown conceptually                   Disturbance       Estimator      PI       block      uses
in Figure 4.                                                              Proportional/Integral feedback with fixed gains to reduce
                                                                          the error between the modeled AFR and the measured
An injected air-fuel mixture must travel from the point of                AFR to zero.
injection to the point of measurement. The travel time
(pure delay) across the engine from the injection point to                The AFR measurement is constructed in the AFR
the close-mounted WRAF sensor was assumed to be




            AFR
         Perturbation
          Generator
           (Time)

                                            +
                                    +
      Open-Loop AFR (Time)
                                                            AFR
                                                          Control                   Gain-Scheduled
                                                           Error                      PI Control          X
       Front Wide-Range AFR                              Estimator   ControlError       (Time)                 Closed-Loop
       Sensor Voltage (Event)                             (Hybrid)    Estimate                                Multiplier (Time)

       Front AFR Sensor Offset Voltage (Time)


                                        Figure 3. Functionality of the Wide-Range AFR Control Block
Figure 4. Physical Effects of Engine and Sensor on AFR




 Front AFR Sensor Offset Voltage (Time)

                                               +
                                                              WRAF Sensor
                                                               Calibration
 Front Wide-Range AFR                 +                         (Event)
 Sensor Voltage (Event)




Open Loop Perturbated AFR (Time)
                                              Engine         +                          WRAF                        -
                                          TransportDelay                               Sensor                +
                                               Model                                  LagModel
                                              (Event)
                                                                    -                   (Time)




                                                                                      Disturbance
                                                                                       Estimator
                                                                                           PI
                                                                                         (Time)

                                                                                            AFR Integral Error




                                                              Delayed AFR Command                   Control Error Estimate (Time)


                                    Figure 5. Hybrid AFR Control Error Estimator Design
Control Error Estimator block by measuring the pre-                                                            used for smooth control.
catalyst WRAF sensor voltage, correcting the voltage
measurement with voltage offset feedback from the post-                                                        The control integrator is limited to prevent wind-up and
NOx adsorber switching oxygen sensor, and calculating                                                          increase vehicle robustness to WRAF sensor failures
the measured AFR using a stored sensor calibration                                                             between occurrence and detection. Reset features were
lookup table.                                                                                                  added to the integrator and closed-loop correction for
                                                                                                               vehicle conditions such as fuel cut-off, stratified
The Disturbance Estimator PI block is based on the                                                             operation (fuel lead), and WRAF sensor warm-up
analytical disturbance rejection control theory in [3], in                                                     conditions.
which the integral portion of the PI feedback is used to
provide a leading estimate of the control error between                                                        AFR PERTURBATION GENERATOR DESIGN
model and estimate. Since the activity of determining
control error is an artificial process, a time-based update                                                    The AFR Perturbation Generator shown in Figure 3 is
was used for the Disturbance Estimator PI block to                                                             responsible for adding a variable frequency, variable
minimize engine controller throughput demand.                                                                  amplitude square-wave offset to the commanded open-
                                                                                                               loop AFR for catalyst efficiency optimization and
The AFR Control Error Estimator block shown in Figures                                                         calibration activity support. Catalyst AFR perturbation
3 and 5 is a hybrid system because it contains both                                                            around the stoichiometric AFR is known to enhance
engine event and time-based algorithm updates                                                                  three-way catalyst efficiency relative to static AFR
necessary to accurately reflect the hybrid attributes of                                                       conditions [4].
the engine and sensor hardware.
                                                                                                               The AFR Perturbation Generator block contains square-
CONTROLLER DESIGN                                                                                              wave frequency and amplitude schedule tables that are
                                                                                                               optimized during vehicle development for maximum
Figure 3 shows the Gain-Scheduled PI Control block,                                                            catalyst efficiency trade-offs.     The output of the
which is responsible for producing a closed-loop                                                               generator is supplied to the AFR Control Error Estimator
correction multiplier to the injector pulse-width, to correct                                                  so that the perturbations are accounted for in the error
fueling errors found by the AFR Control Error Estimator                                                        calculations. The injector pulse-width is modified directly
Block.                                                                                                         by the perturbation block to deliver the desired AFR
                                                                                                               perturbations to the engine and exhaust system.
Figure 6 shows the functionality contained within the
Gain-Scheduled PI Control block of Figure 3.                                                                   During calibration development of the WRAF algorithm,
                                                                                                               it is desirable to tune the PI gains of both the Control
                                                                                                               Error Estimator and Gain-Scheduled PI Control blocks
                                                                                                               by simulating unknown disturbances with fuel injector
                                                           1                                                   pulsewidth.
                                                                          +
                                              P.Gain
                                              (Time)
                                                                -                                              The switch symbol shown in Figure 3 represents a
                                                                    -
                                                                               Closed-Loop Correction (Time)
                                                                                                               calibration variable used to de-couple the perturbation
                                                                                                               AFR signal from the Control Error Estimator while
                                                                                                               retaining injector pulsewidth perturbations. The switch
Control Error Estimate (Time)
                                                                                                               can be used to tune the responsiveness of the Control
                                EventPeriod
                                  Integral                     Limited Integrator
                                                                                                               Error Estimate to unknown disturbances with the Error
    Event Period (Time)
                                    Gain
                                 Schedule
                                                       X             (Time)
                                                                                                               Estimator PI gains.
                                   (Time)



                                    Error
                                  Integral
                                                                                                               After the Control Error Estimator is tuned, the Gain-
Control Error Estimate (Time)
                                    Gain
                                 Schedule
                                                                                                               Scheduled PI Control block gains are tuned for
                                   (Time)
                                                                                                               disturbance rejection performance.
Figure 6. Gain-Scheduled PI Controller Design
                                                                                                               The perturbation generator can also be used to produce
                                                                                                               a fixed-frequency, variable amplitude signal for catalyst
The Gain-Scheduled PI Controller uses a limited gain-
scheduled integrator on the Control Error Estimate to
                                                                                                               SUMMARY
correct fueling errors. Two gain-schedule calibrations
were used for the control integrator.
                                                                                                               A production Wide-Range Air-Fuel-Ratio (AFR) control
                                                                                                               algorithm was developed for production application in
Integral gain is decreased for long engine event periods
                                                                                                               Direct Injection Gasoline (DI-G) powertrains. A hybrid
(low RPM) because the time-based control algorithm can
                                                                                                               State Estimator and time-based Controller design was
update faster than new event-based sensor information
                                                                                                               used to accurately account for physical engine effects,
is received. Integral gain is also changed as a function
                                                                                                               minimize calibration burden, and minimize engine
of the size of the Control Error Estimate, so that as the
                                                                                                               controller              throughput             burden.
error approaches zero, lighter control feedback can be
ACKNOWLEDGEMENTS

     Special thanks to Derk Geurts, Michel Peters, and
Bart Schreurs of the Delphi Luxembourg Technical
Centre for valuable design feedback in the initial phases
of the project.

REFERENCES

1.   Fekete, N.P., “Model-Based Air-Fuel Ratio Control of a
     Multi-cylinder Leanburn Engine," Stanford University PhD.
     Dissertation, January 1995.
2.   Vigild, C. and Hendricks, E., “A Lambda Control Observer
     With Fault Correction,” IFAC Advances in Automotive
     Control Workshop, 1998.
3.   Franklin, G.F. et. al., "Digital Control of Dynamic Systems,"
     2nd ed., Addison-Wesley Publishing Company, 1990.
4.   Heywood, J. B., “Internal Combustion                 Engine
     Fundamentals,” McGraw-Hill, 1988.

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Wide Range AFR Control

  • 1. 2001-01-0260 A Production Wide-Range AFR Control Algorithm for Direct-Injection Gasoline Application Peter J. Maloney Delphi Energy & Chassis Systems Copyright © 2001 Society of Automotive Engineers, Inc. ABSTRACT Non-physical estimation and control functions were A Wide-Range Air-Fuel-Ratio (AFR) control designed for application with time-based updates to algorithm was developed for production application in minimize engine controller throughput demand. Direct Injection Gasoline (DI-G) powertrains. The Signal generator capabilities were built into the algorithm controls AFR to a scheduled target by algorithm to facilitate three-way catalyst perturbation modifying open-loop fuel injection timing duration using a during stoichiometric control, simulate unknown control Wide-Range AFR sensor measurement for feedback. system disturbances during algorithm calibration, and A physically based hybrid State Estimator design perform automatic catalyst efficiency sweeps. was used to account for event-based engine delays and time-based sensor measurement characteristics to ALGORITHM PURPOSE determine the error between target and measured AFR. The State Estimator was designed to minimize algorithm The purpose of the Wide Range AFR Control (WRAF) size, calibration burden, and engine controller algorithm is shown below in Figure 1. The WRAF throughput demand. A time based, gain-scheduled algorithm modifies an open-loop injector pulse-width Proportional-Integral control algorithm design was used to correct AFR errors. Adaptive AFRFeedback Software Algorithm Open-Loop AFR Adaptive Closed Open-Loop Multiplier Loop Multiplier Wide-Range Post-O2 Fuel AFRControl AFRFeedback Algorithm Open Algorithm FrontAFR Algorithm Loop Sensor Pulsewidth OffsetVoltage Open-Loop Inputs Injector Pulsewidth Front Wide-Range AFR Sensor Voltage Rear Switching AFR Sensor Voltage Hardware Warm-up Catalyst NOx Adsorber Figure 1. Wide-Range AFR Control Algorithm Functionality
  • 2. calculation using feedback from a Wide-Range AFR sensor located close to the engine upstream of a warm- up catalyst for fast AFR control capability. The WRAF Test Configuration algorithm and feedback loop is shown with dark lines in Figure 1. MY 1998 Mitsubishi Carisma, 3250 Lb I.W.C A stoichiometric switching AFR sensor was placed 1.8L DI-Gas Engine downstream of the NOx adsorber to be used in conjunction with a Post Adsorber Oxygen Sensor Manual Transmission Feedback Algorithm to correct the front WRAF sensor voltage with an offset. Long-term pulsewidth multiplier Delphi 32-Bit Engine Controller with Torque-Structure corrections are stored in Powertrain Control Module and WRAF software (PCM) memory by an Adaptive AFR Feedback algorithm. Delphi 50 CUL Warmup Converter and 120 CUL NOx Adsorber. 40 hrs fuel cut-off aging, Adsorber bed temp The following design features were included in the 850 deg C WRAF algorithm: Delphi Electronic Throttle and EGR Actuators • Generality for both Port Fuel Injected (PFI) and Gas- DI applications ETAS Wide-Range AFR Sensor AWS/LSU-4. 11 to 50 AFR measurement range. • Explicit accounting for event-based delays from the point of injection to the measurement location Cold MVEG B emission cycle (1180 sec) • Explicit accounting for variation of WRAF sensor Test Fuel: Similar to California Phase II: dynamics with operating conditions Low Sulfur, 15 ppm by mass H/C Ratio 1.797, O/C Ratio 0.015, Stoich. 14.16 • AFR error signal availability in both open and Emission Standard: closed-loop operation 0.1 g/km HC, 1.0 g/km CO, 0.08 g/km NOx Emission Results: • Closed-loop operation under rich AFR conditions at 0.1 g/km HC, 0.4 g/km CO, 0.035 g/km NOx high engine loads Table 1. Gas-DI Euro IV Test Configuration • Catalyst perturbation under stoichiometric operating conditions with directly adjustable frequency and Figure 2 below shows an example of WRAF control amplitude capability at a 2000 RPM, 30 Kpa intake manifold pressure, 3% throttle position operating point. • Sequential calibration steps with built-in calibration aids such as external disturbance, command input, and catalyst efficiency sweeps Maintaining fast, accurate AFR control in the exhaust stream is important in Gasoline Direct Injection (Gas-DI) engine applications because of the sensitivity of NOx emissions to AFR errors under homogeneous stoichiometric and homogeneous lean combustion conditions. RESULTS SUMMARY The WRAF algorithm was used on a 1998 Mitsubishi Gas-DI vehicle development platform to meet the Euro AF IV emissions standard. The vehicle was equipped with a Delphi Engine Management System, including engine controller and software, warm-up catalyst, and NOx adsorber. A summary of the test configuration and test results data are shown below in Table 1. Figure 2. Example of WRAF Control Capability
  • 3. The bottom portion of Figure 2 shows the capability of solely a function of the time between engine fueling the WRAF algorithm to follow an arbitrary AFR events (e.g. 4 events per engine cycle on a 4 cylinder command input signal, composed of a sine-wave and engine application). square wave combination. The high amplitude signal in Figure 2 is the command AFR input, and the two low The lag dynamics of the WRAF sensor were modeled in amplitude delayed AFR signals are estimated and the AFR Control Error Estimator to provide a good measured AFR respectively. The estimated and comparison basis between model and measurement in measured signals are not the true AFR at the sensor constructing a Control Error Estimate. The model of location because both signals account for the effects of sensor lag dynamics was designed to emulate analog sensor attenuation on the measurement. sensor subsystem behavior by using time-based calculation updates. Figure 5 shows the functionality ALGORITHM DESIGN contained within the AFR Control Error Estimator Block of Figure 3. In the Control Error Estimator, the perturbed The functionality contained within the WRAF control AFR command input is delayed and attenuated by the algorithm block of Figure 1 is shown below in Figure 3. Engine Transport Delay and WRAF Sensor Lag Model The WRAF algorithm is composed of three main sub- blocks respectively. blocks allocated to error estimation, control, and AFR perturbation for catalyst efficiency optimization. The Engine Transport Delay block is composed of an array of memory buffers, which store the 25 of the ESTIMATOR DESIGN previous AFR commands on an event basis. A calibration is used to determine which memory buffer to The AFR Control Error Estimator block in Figure 3 is read as a function of engine operating conditions, so as responsible for producing a leading estimate of fuel to synchronize the delayed, commanded AFR with the control errors by comparing an open-loop commanded sensor measurement location. AFR signal to a measured pre-catalyst Wide-Range AFR sensor measurement. The estimated control error is a The WRAF Sensor Lag Model block contains a digital dimensionless percentage value referenced to the open- first-order low-pass filter. The filter time-constant loop commanded AFR. The open-loop commanded characteristic is varied by means of a calibration that AFR signal is received from the open-loop fuel algorithm changes with engine operating conditions to reflect block of Figure 1 as a first estimate of the expected AFR changes in sensor dynamics. in the exhaust system. The perturbed, delayed, attenuated command AFR is To calculate the correct fueling error, the estimator must then compared to measured AFR from the WRAF account for the physical effects of transport delay across sensor by the Disturbance Estimator PI block to produce the engine and the effects of WRAF sensor lag a leading estimate of the AFR control error. The dynamics as discussed in [1][2], and shown conceptually Disturbance Estimator PI block uses in Figure 4. Proportional/Integral feedback with fixed gains to reduce the error between the modeled AFR and the measured An injected air-fuel mixture must travel from the point of AFR to zero. injection to the point of measurement. The travel time (pure delay) across the engine from the injection point to The AFR measurement is constructed in the AFR the close-mounted WRAF sensor was assumed to be AFR Perturbation Generator (Time) + + Open-Loop AFR (Time) AFR Control Gain-Scheduled Error PI Control X Front Wide-Range AFR Estimator ControlError (Time) Closed-Loop Sensor Voltage (Event) (Hybrid) Estimate Multiplier (Time) Front AFR Sensor Offset Voltage (Time) Figure 3. Functionality of the Wide-Range AFR Control Block
  • 4. Figure 4. Physical Effects of Engine and Sensor on AFR Front AFR Sensor Offset Voltage (Time) + WRAF Sensor Calibration Front Wide-Range AFR + (Event) Sensor Voltage (Event) Open Loop Perturbated AFR (Time) Engine + WRAF - TransportDelay Sensor + Model LagModel (Event) - (Time) Disturbance Estimator PI (Time) AFR Integral Error Delayed AFR Command Control Error Estimate (Time) Figure 5. Hybrid AFR Control Error Estimator Design
  • 5. Control Error Estimator block by measuring the pre- used for smooth control. catalyst WRAF sensor voltage, correcting the voltage measurement with voltage offset feedback from the post- The control integrator is limited to prevent wind-up and NOx adsorber switching oxygen sensor, and calculating increase vehicle robustness to WRAF sensor failures the measured AFR using a stored sensor calibration between occurrence and detection. Reset features were lookup table. added to the integrator and closed-loop correction for vehicle conditions such as fuel cut-off, stratified The Disturbance Estimator PI block is based on the operation (fuel lead), and WRAF sensor warm-up analytical disturbance rejection control theory in [3], in conditions. which the integral portion of the PI feedback is used to provide a leading estimate of the control error between AFR PERTURBATION GENERATOR DESIGN model and estimate. Since the activity of determining control error is an artificial process, a time-based update The AFR Perturbation Generator shown in Figure 3 is was used for the Disturbance Estimator PI block to responsible for adding a variable frequency, variable minimize engine controller throughput demand. amplitude square-wave offset to the commanded open- loop AFR for catalyst efficiency optimization and The AFR Control Error Estimator block shown in Figures calibration activity support. Catalyst AFR perturbation 3 and 5 is a hybrid system because it contains both around the stoichiometric AFR is known to enhance engine event and time-based algorithm updates three-way catalyst efficiency relative to static AFR necessary to accurately reflect the hybrid attributes of conditions [4]. the engine and sensor hardware. The AFR Perturbation Generator block contains square- CONTROLLER DESIGN wave frequency and amplitude schedule tables that are optimized during vehicle development for maximum Figure 3 shows the Gain-Scheduled PI Control block, catalyst efficiency trade-offs. The output of the which is responsible for producing a closed-loop generator is supplied to the AFR Control Error Estimator correction multiplier to the injector pulse-width, to correct so that the perturbations are accounted for in the error fueling errors found by the AFR Control Error Estimator calculations. The injector pulse-width is modified directly Block. by the perturbation block to deliver the desired AFR perturbations to the engine and exhaust system. Figure 6 shows the functionality contained within the Gain-Scheduled PI Control block of Figure 3. During calibration development of the WRAF algorithm, it is desirable to tune the PI gains of both the Control Error Estimator and Gain-Scheduled PI Control blocks by simulating unknown disturbances with fuel injector 1 pulsewidth. + P.Gain (Time) - The switch symbol shown in Figure 3 represents a - Closed-Loop Correction (Time) calibration variable used to de-couple the perturbation AFR signal from the Control Error Estimator while retaining injector pulsewidth perturbations. The switch Control Error Estimate (Time) can be used to tune the responsiveness of the Control EventPeriod Integral Limited Integrator Error Estimate to unknown disturbances with the Error Event Period (Time) Gain Schedule X (Time) Estimator PI gains. (Time) Error Integral After the Control Error Estimator is tuned, the Gain- Control Error Estimate (Time) Gain Schedule Scheduled PI Control block gains are tuned for (Time) disturbance rejection performance. Figure 6. Gain-Scheduled PI Controller Design The perturbation generator can also be used to produce a fixed-frequency, variable amplitude signal for catalyst The Gain-Scheduled PI Controller uses a limited gain- scheduled integrator on the Control Error Estimate to SUMMARY correct fueling errors. Two gain-schedule calibrations were used for the control integrator. A production Wide-Range Air-Fuel-Ratio (AFR) control algorithm was developed for production application in Integral gain is decreased for long engine event periods Direct Injection Gasoline (DI-G) powertrains. A hybrid (low RPM) because the time-based control algorithm can State Estimator and time-based Controller design was update faster than new event-based sensor information used to accurately account for physical engine effects, is received. Integral gain is also changed as a function minimize calibration burden, and minimize engine of the size of the Control Error Estimate, so that as the controller throughput burden. error approaches zero, lighter control feedback can be
  • 6. ACKNOWLEDGEMENTS Special thanks to Derk Geurts, Michel Peters, and Bart Schreurs of the Delphi Luxembourg Technical Centre for valuable design feedback in the initial phases of the project. REFERENCES 1. Fekete, N.P., “Model-Based Air-Fuel Ratio Control of a Multi-cylinder Leanburn Engine," Stanford University PhD. Dissertation, January 1995. 2. Vigild, C. and Hendricks, E., “A Lambda Control Observer With Fault Correction,” IFAC Advances in Automotive Control Workshop, 1998. 3. Franklin, G.F. et. al., "Digital Control of Dynamic Systems," 2nd ed., Addison-Wesley Publishing Company, 1990. 4. Heywood, J. B., “Internal Combustion Engine Fundamentals,” McGraw-Hill, 1988.