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VARIOUS TYPES OF CONTROLLERS




                   Presented by:
                   Deepesh gupta
INTRODUCTION
 Most industrial processes require that certain variables such as
flow, temperature, level or pressure should remain at or near some
reference value, called SET POINT. The device that serves to
maintain a process variable value at the set point is called a
CONTROLLER.
A Controller is a device that receives data from a measurement
instrument, compares that data to a programmed set point, and, if
necessary, signals a control element to take corrective action.
 Controllers may perform complex mathematical functions to
compare Activities a set of data to setpoint or they may perform
simple addition or subtraction functions to make comparisons.
Controllers always have an ability to receive input, to perform a
mathematical function with the input, and to produce an output
signal.
CONTROL
                                                           VALVE




SET-        +                     PID                               PROCESS
                                                                    VARIABLE
POINT
        r       _
                          e CONTROLLER           m                    c
                     e = r-b                     m=f(e)      FCE

            b

                    electrical                      Non-electrical
                     signal      FEEDBACK
                                                        signal
                                 TRANSDUCER
                                                 (Temp. , Pr. Etc.)

                           r = ref. Point / Set-point
                          b = feedback variable
                         e = error(actuating) signal
                         m= manipulated variable
                          c = controlled variable / Process variable
                       FCE= Final Control Element
CONTROLLER ALGORITHM

The Actions of Controllers can be divided into groups based
upon the functions of their control mechanism.
Grouped by control mechanism function, the three
types of controllers are:
 Discrete controllers
 Multistep controllers
 Continuous controllers
DISCRETE CONTROLLERS

Discrete controllers are controllers that have only two modes
or positions: on and off. A common example of a discrete
controller is a home hot water heater. When the temperature
of the water in the tank falls below setpoint, the burner turns
on. When the water in the tank reaches setpoint, the burner
turns off.


MULTISTEP CONTROLLERS
Multistep controllers are controllers that have at least one
other possible position in addition to on and off.
CONTINUOUS CONTROLLERS

Controllers automatically compare the value of the PV to the SP to
determine if an error exists. If there is an error, the controller
adjusts its output according to the parameters that have been set in
the controller.
But this needs a tuning and tuning parameters essentially
determine:
 How much correction should be made? The magnitude of the
correction( change in controller output) is determined by the
proportional mode of the controller.
 How long should the correction be applied? The duration of the
adjustment to the controller output is determined by the integral
modeof the controller
 How fast should the correction be applied? The speed at which a
correction is made is determined by the derivative mode of the
controller.
SINGLE-LOOP CONTROL
Why Controller need tuning
Controllers are tuned in an effort to match the
characteristics of the control equipment to the
process so that two goals are achieved:
• The system responds quickly to errors.
• The system remains stable (PV does not oscillate
around
the SP).
CLASSIFICATION OF INDUSTRIAL
               CONTROLLERS
• Two position or ON-OFF controllers
• Proportional (P) controllers
• Proportional (P) + Integral (I) i.e. PI controllers
• Proportional (P) + Derivative(D)
  i.e. PD controllers
• Proportional (P) + Integral (I) + Derivative (D)
  i.e. PID controllers
PROPORTIONAL CONTROLLER


    e          P-CONTROL               m


              m is proportional to e
                  m= Kc*e + M
Wher Kc = Propprtional Sensitivity or Prop. Gain
And is defined as the unit change in manipulated
variable (m) caused by unit change in deviation (e)
            P.B. = (1/Kc) *100 %
Prop. Band(P.B.) is the %age change in error that
causes 100 % age change in manipulated variable
INTEGRAL-CONTROL


 e               I-control                    m

Rate of change of manipulated variable(m)
      is proportional to error.
           (dm/dt) prop. To e
    or m is proportional to Intgral of e dt
          m= (Kc/Ti)*ƒe dt + M
        where Ti = integral time
PI-CONTROLLER

         e             PI-CONTROL                m


The additive combination of Prop. & Integral control actions
               is known as PI-control
          m= Kc*e + (Kc/Ti)*ƒe dt + M

For a step change of deviation , the integral time Ti is the time
required to add an increment of response equal to original step
change of response.
Units : minutes or seconds per repeat
Reset rate is no. of times per minute that proportional part of
response is duplicated / repeated and is reciprocal of Ti .
Units : Repeats per minute or second
PD-CONTROLLER

             e            PD-CONTROL               m

The additive combination of Prop. & Derivative control actions is
known as PD-control
 m= Kc*e + (Kc*Td)*(de/dt) + M or
                 m-M = Kc (1+Td*s) e
For a linear change of deviation : e = Et
                 m-M = Kc (1+Td*s) Et
                   m-M = KcE (t+Td)
Deviation , e is defined at time t while the manipulated variable
is defined at time (t+Td).
So net effect is to shift the manipulated variable m , ahead by a
Time Td , the derivative time.
   m                              P&D

                                            P only




                                                            t
                                 Td
PID CONTROLLER

The additive combination of Prop. , Integral & Derivative
control actions is known as PID-control.
 m= Kc*e + (Kc/Ti)*ƒe dt +(Kc*Td)*(de/dt) +M
         m-M = Kc [1+(1/Ti*s)+Td*s] e
     For a linear change of deviation : e = Et
           m-M = Kc [1+ (1/Ti*s) +Td*s] Et
              m-M = KcE (t+t²/2Ti+Td)
m


          PD
    PID
           P-ONLY




                    t
By using all three control algorithms together, process operators
can:
• Achieve rapid response to major disturbances with derivative
control
• Hold the process near setpoint without major fluctuations with
proportional control
• Eliminate offset with integral control
CLASSIFICATION OF CONTROLLERS ACCORDING TO
               THE ACTUATING MEDIUM
Depending upon the actuating medium,
  automatic controllers may also be classified as :
• Pneumatic Controllers
• Electronic Controllers
      The kind of controller to be used for a
  particular application should be decided by the
  nature of the plant and operating conditions,
  including such considerations as safety, cost,
  reliability, availability, accuracy, weight & size.
PNEUMATIC CONTROLLERS
These controllers made the beginning in old generation
  automatic process control. Today also these are
  extensively used in industrial process controls due to
  their inherent flame/explosion proof characteristics
  as no electric currents are used/ generated.
  Pneumatic Controllers come as Panel mounting type
  and also field mounting type with weather proof
  enclosures.
There are two basic components of pneumatic
  controllers :
• Displacement sensing device (Flapper Nozzle system)
• Pneumatic Relays
Pneumatic Flapper Nozzle
It is a displacer type
   pneumatic detector
   which          converts
   displacement into a
   pressure signal.
The diameter of the
   orifice is of the order
   of 0.25 mm & that of
   nozzle is 0.625 mm.
The nozzle diameter
   should be larger than
   the orifice diameter.
PNEUMATIC RELAYS

It acts as the second
   stage amplifier . It is
   capable of handling a
   large quantity of air
   flow and is used to
   increase the gain in
   conjunction with a
   flapper nozzle .
ADVANTAGES OF PNEUMATIC CONTROLLER

• No fire hazard

DISADVANTAGES :
• Slow response
• Condensate in instrument air causes choking action of
  the nozzle or relays.
• Not practicable to keep the actuator at a long distance
• Leakage in tubing can cause problems
ELECTRONIC CONTROLLER
Electronic controller use electric power to
  actuate the final control element. These types
  of controllers have a wide range of
  applications in modern process industries.
BASIC PARTS OF ELECTRONIC
              CONTROLLER
             POWER            Power Supply

                           Manual
SP                         Control
                                          Transfer Switch   Output
     INPUT    Deviation
                          Automatic                                  To signal
PV                         Control                                   element



                                Display
Electronic Loop Controller Characteristics

  1.Simple PID control
  2.Provisions for simple interlocking
  3.User-initiated self-tuning
  4.Multiple-level alarm priorities
  5.External (upward) communications capability
  6.Continuous self tuning
  7.Hard-manual control station
  8.Adaptive control
  9.User-defined algorithms
  10.Multiple loop-control capability with trend display
VARIOUS TYPES OF ELECTRONIC CONTROLLERS
               GENERALLY USED
• Yokogawa YS-170 controller
• Yokogawa SLPC     controller
• ASCON AC-20      controller
• SIEMENS PAC-353 controller
• Bells 760 / 761    controller
YOKOGAWA YS170 CONTROLLER
MAIN FEATURES OF YS-170
               CONTROLLER
• BARGRAPH / DIGITAL DISPLAY OF PV/SV/MV VALUES FOR ONE
  OR TWO LOOPS IS POSSIBLE.
• TREND DISPLAY OF PROCESS-VARIABLE
• BUILT-IN EEPROM TO STORE PARAMETERS AND USER
  PROGRAMS
• BUILT-IN ADJUSTABLE SET-POINT FILTER TO PROVIDE BETTER
  RESPONSE TO SP CHANGES
• OPTIMUM SELECTION OF PID PARAMETERS THROUGH SELF-
  TUNING FUNCTION
• COMMUNICATION FACILITY WITH DCS OR PC
• SELF-DIAGNOSTIC FEATURE
• HARD-MANUAL OPERATION AND ON-LINE REPLACEMENT OF
  CONTROLLER , IN CASE OF FAILURE , IS POSSIBLE
I/O SPECIFICATIONS
• 4 NO. OF 1-5V DC ANALOG INPUTS
• 1 NO. DIRECT INPUT ( mV, TC , RTD , 4-20mA FROM
  2-WIRE Tx. Or FREQ. INPUT
• 1 NO. 4-20mA ANALOG OUTPUT
• 2 NO. 1-5V DC ANALOG OUTPUTS
• 6 NO. STATUS I/Os ( ON SHARING BASIS)
• 1 NO. FAIL OUTPUT SIGNAL
FEATURES
Controller modes:
Programmable mode
- Single-loop mode
- Cascade mode

Programming functions:
- Versatile computation
- Sequence logic computing function
- Program capacity of up to 400 steps Control
methods:
- Basic PID control (built-in nonlinear control
function)
- Proportional control
- Sampling PI control
- Batch PID control
- Feedforward control
Variable set point filtering
Self-tuning
Alarm functions
Input computing functions
Output computing functions
Trend recording:
- Time span: 1.5 minutes to 45 hours
- Interval: 1 second to 30 minutes




Communication functions:
- YS-net for Peer to Peer communication
- RS-485 communication
- DCS-LCS communication
SLPC - SINGLE LOOP PROGRAMMABLE
                         CONTROLLER

The SLPC Programmable Indicating Controller is a microprocessor –
   based , user programmable instrument which provides signal
   computation and control functions as well as sequence logic
                             functions.
 A single SLPC can simulate 2 PID controllers in cascade control or
                auto selector control configuration
CONTROL MODULES

BASIC CONTROL MODULE
        A single control module
CASCADE CONTROL MODULE
    Two control modules connected in cascade
 SIGNAL SELECTOR CONTROL MODULE
    Two control modules connected in parallel
OPERATING CIRCUITS
•   ANALOG INPUT CIRCUIT
•   A/D CONVERTER CIRCUIT
•   DIGITAL INPUT CIRCUIT
•   DIGITAL COMPUTING CIRCUIT
•   DIGITAL OUTPUT CIRCUIT
•   D/A CONVERTER CIRCUIT
•   ANALOG OUTPUT CIRCUIT
COMPUTATION FUNCTIONS

• READS THE INPUT
                    X1        X2
  SIGNAL
• COMPUTES AND                     LD X1
• OUTPUTS THE                      LD X2
  COMPUTED RESULT   ADDITION       +
                                   ST Y1



                         Y1
ASCON AC 20 CONTROLLER
            MAIN FEATURES:
           •4 CONTROL LOOPS
           •8 ANALOG INPUTS
           •4 ANALOG OUTPUTS
           •8 OPTO-
           ISOLATEDDIGITAL I/O
           •1 FREQUENCY INPUT
           •12 CONTROL
           STRATEGIES STORED IN
           INSTRUMENT MEMORY
           •LCD GRAPHIC DISPLAY
           , BACKLIGHTED BY
           COOL-CATHODE LAMP
ASCON AC 20 CONTROLLER STATION
             CAN PERFORM
• DATA ACQUISITION AND MONITORING
• REGULATION AND CONTROL
• COMPLEX MATHEMATICAL FUNCTIONS
• LOGIC AND SEQUENCING
• ALARM FUNCTIONS
• LOCAL MONITORING OF PROCESS DATA,CONTROL-
  FUNCTIONS,ALARMS & EVENTS
• AUTOMATIC AND MANUAL COMMANDS
SERIAL COMMUNICATION PORTS
• RS485 MAIN COM PORT
    For communication with a supervisory computer
    Line Length: 1200 m maximum
    Units per line: 32 controllers with twisted pair cable
    Transmission Rate: 19200 baud
.    RS485 AUX COM PORT
    For commn. To Expansion units or to a computer for
    the backup of a data
.    RS 232 PROGRAMMING PORT
    For commn. To a PC running AC-Prograph for
    the design and testing of control strategies
CASCADE CONTROL
Cascade control is the most common multiloop control
scheme in use. In this control scheme, the output of one
primary controller is used to manipulate the setpoint of a
secondary controller. The two controllers are cascaded with
each other, but each has its own process variable input. The
primary controller has an independent setpoint; its output
goes to the secondary controller. It accepts the primary
controller's output as its setpoint input and has its control
output as the output to the process. This secondary
controller is a closed loop within the primary loop.
CONVENTIONAL CONTROL OF
     REACTOR TEMP.
CASCADE CONTROL OF REACTOR
          TEMP.
USE CASCADE CONTROL WHEN

•   The primary variable has a slow response to
    disturbances.
•   Process changes cause serious upsets in the controlled
    variable.
•   Another variable is affected by disturbances and is
    closely related to the control variable.
•   The secondary variable can be controlled, and it
    responds quickly to the primary controller.
FEED-FORWARD CONTROL
For cascade control to be an option, the variable causing the
disturbance must be controllable. However, in some
applications, a disturbance that cannot be controlled may occur.

Feed-forward control measures the disturbance and feeds
it directly to the output of the PID algorithm.

Feedforward control is a control system that anticipates load
disturbances and controls them before they can impact the process
variable.

Feedforward systems should be used in cases where the
controlled variable has the potential of being a major load disturbance
on the process variable ultimately being controlled
Feedforward control
An advantage of feedforward control is that error is
prevented, rather than corrected
Feedforward Plus Feedback
          ControlSystem
feedforward-plus-feedback loop in which both a flow transmitter and
a temperature transmitter provide information for controlling a hot steam
valve
SINGLE ELEMENT DRUM LEVEL CONTROL
Single element control is the simplest strategy. In
    this system drum level is measured using a
    single measurement device & provides a
    control signal to the feed water control valve
    in direct relation to the current operating               LT
    drum level.
The single element drum level strategy is only                     P.V.
    effective for smaller boilers with relatively
    steady demands & slow to very moderate load
    changes. This is because the SHRINK & SWELL
                                                       S.P.
                                                              LIC
    effect causes an incorrect initial control
    reaction which can lead to over / under filling
    of the drum.
As steam demand increases , there is an initial
    lowering of drum pressure resulting in an                 I/P
    artificial rise in drum level as the steam
    bubbles expand and swell the drum water
    level. This phenomenon sends a false control
    signal to reduce feed water flow , when in fact
    the feed water flow should be increasing to
    maintain mass balance.
Conversely , on a loss of steam demand , there is             FCV
    an initial rising of steam drum pressure which
    acts to lower the drum level by compressing
    the steam bubbles & shrinking the drum level.
    This sends a false signal to increase feed water
    flow when in fact it should be decreasing to
    maintain mass balance.
TWO ELEMENT DRUM LEVEL CONTROL
The Two element drum level strategy is suitable
       for processes with moderate load swings
       & speeds and it can be used on any size      Drum Level               Steam Flow
       of boiler. This system uses the two
                                                         LT                     FT
       variables , drum level & steam flow to
       mass balance the feed water demand.
   In two element control , steam flow is                     P.V.
       measured along with boiler drum level.     S.P.
       The steam flow signal is used in a feed           LIC                  Sq. Root
       forward control loop to anticipate the
       need for an increase in feed water to
       maintain a constant drum level.
                                                                     Comp.
This strategy has two drawbacks :                                     Unit
(i)    Like the single element strategy the two
       element control can not adjust for
       pressure or load disturbances in feed
       water supply , as this is not a measured                      I/P
       variable in this strategy.
(ii) The two element control can not
       eliminate phasing interaction between
       feed water flow & drum level because
       only the relatively slow process of drum                       FCV
       level is controlled.
TWO ELEMENT DRUM LEVEL CONTROL
THREE ELEMENT DRUM LEVEL CONTROL
Three element drum level control adds a          Drum Level               Steam Flow
                                                                                       Feed Water
                                                                                          Flow
     feed water flow signal to the steam
     flow & boiler drum level signals used            LT                      FT           FT
     in two element feed water control.
     The drum level controller manipulates                 P.V.
     the feed water flow set point in
                                               S.P.
     conjunction with feed forward from               LIC                   Sq. Root    Sq. Root
     steam flow measurement. The feed
     forward component keeps the the
     feed water supply in balance with the                        Comp.
     steam demand. The drum level                                  Unit
     controller trims the feed water flow
     set point to compensate for errors in                           S.P.
     the flow measurement or any other                                      P.V.
                                                                   FIC
     unmeasured load disturbances that
     may effect drum level.

The three element control is used in boilers
                                                                  I/P
      that experiences wide , fast load
      changes.

                                                                  FCV
THREE ELEMENT DRUM LEVEL CONTROL
REFERENCES

•   Fundamental of control -: PACONTROL.com
•   NFL Lectures
•   Yokogawa sites
Thanks

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Controller ppt

  • 1. VARIOUS TYPES OF CONTROLLERS Presented by: Deepesh gupta
  • 2. INTRODUCTION Most industrial processes require that certain variables such as flow, temperature, level or pressure should remain at or near some reference value, called SET POINT. The device that serves to maintain a process variable value at the set point is called a CONTROLLER. A Controller is a device that receives data from a measurement instrument, compares that data to a programmed set point, and, if necessary, signals a control element to take corrective action. Controllers may perform complex mathematical functions to compare Activities a set of data to setpoint or they may perform simple addition or subtraction functions to make comparisons. Controllers always have an ability to receive input, to perform a mathematical function with the input, and to produce an output signal.
  • 3. CONTROL VALVE SET- + PID PROCESS VARIABLE POINT r _ e CONTROLLER m c e = r-b m=f(e) FCE b electrical Non-electrical signal FEEDBACK signal TRANSDUCER (Temp. , Pr. Etc.) r = ref. Point / Set-point b = feedback variable e = error(actuating) signal m= manipulated variable c = controlled variable / Process variable FCE= Final Control Element
  • 4. CONTROLLER ALGORITHM The Actions of Controllers can be divided into groups based upon the functions of their control mechanism. Grouped by control mechanism function, the three types of controllers are: Discrete controllers Multistep controllers Continuous controllers
  • 5. DISCRETE CONTROLLERS Discrete controllers are controllers that have only two modes or positions: on and off. A common example of a discrete controller is a home hot water heater. When the temperature of the water in the tank falls below setpoint, the burner turns on. When the water in the tank reaches setpoint, the burner turns off. MULTISTEP CONTROLLERS Multistep controllers are controllers that have at least one other possible position in addition to on and off.
  • 6. CONTINUOUS CONTROLLERS Controllers automatically compare the value of the PV to the SP to determine if an error exists. If there is an error, the controller adjusts its output according to the parameters that have been set in the controller. But this needs a tuning and tuning parameters essentially determine: How much correction should be made? The magnitude of the correction( change in controller output) is determined by the proportional mode of the controller. How long should the correction be applied? The duration of the adjustment to the controller output is determined by the integral modeof the controller How fast should the correction be applied? The speed at which a correction is made is determined by the derivative mode of the controller.
  • 8. Why Controller need tuning Controllers are tuned in an effort to match the characteristics of the control equipment to the process so that two goals are achieved: • The system responds quickly to errors. • The system remains stable (PV does not oscillate around the SP).
  • 9. CLASSIFICATION OF INDUSTRIAL CONTROLLERS • Two position or ON-OFF controllers • Proportional (P) controllers • Proportional (P) + Integral (I) i.e. PI controllers • Proportional (P) + Derivative(D) i.e. PD controllers • Proportional (P) + Integral (I) + Derivative (D) i.e. PID controllers
  • 10. PROPORTIONAL CONTROLLER e P-CONTROL m m is proportional to e m= Kc*e + M Wher Kc = Propprtional Sensitivity or Prop. Gain And is defined as the unit change in manipulated variable (m) caused by unit change in deviation (e) P.B. = (1/Kc) *100 % Prop. Band(P.B.) is the %age change in error that causes 100 % age change in manipulated variable
  • 11.
  • 12. INTEGRAL-CONTROL e I-control m Rate of change of manipulated variable(m) is proportional to error. (dm/dt) prop. To e or m is proportional to Intgral of e dt m= (Kc/Ti)*ƒe dt + M where Ti = integral time
  • 13.
  • 14. PI-CONTROLLER e PI-CONTROL m The additive combination of Prop. & Integral control actions is known as PI-control m= Kc*e + (Kc/Ti)*ƒe dt + M For a step change of deviation , the integral time Ti is the time required to add an increment of response equal to original step change of response. Units : minutes or seconds per repeat
  • 15. Reset rate is no. of times per minute that proportional part of response is duplicated / repeated and is reciprocal of Ti . Units : Repeats per minute or second
  • 16. PD-CONTROLLER e PD-CONTROL m The additive combination of Prop. & Derivative control actions is known as PD-control m= Kc*e + (Kc*Td)*(de/dt) + M or m-M = Kc (1+Td*s) e For a linear change of deviation : e = Et m-M = Kc (1+Td*s) Et m-M = KcE (t+Td)
  • 17. Deviation , e is defined at time t while the manipulated variable is defined at time (t+Td). So net effect is to shift the manipulated variable m , ahead by a Time Td , the derivative time. m P&D P only t Td
  • 18. PID CONTROLLER The additive combination of Prop. , Integral & Derivative control actions is known as PID-control. m= Kc*e + (Kc/Ti)*ƒe dt +(Kc*Td)*(de/dt) +M m-M = Kc [1+(1/Ti*s)+Td*s] e For a linear change of deviation : e = Et m-M = Kc [1+ (1/Ti*s) +Td*s] Et m-M = KcE (t+t²/2Ti+Td)
  • 19. m PD PID P-ONLY t
  • 20. By using all three control algorithms together, process operators can: • Achieve rapid response to major disturbances with derivative control • Hold the process near setpoint without major fluctuations with proportional control • Eliminate offset with integral control
  • 21.
  • 22. CLASSIFICATION OF CONTROLLERS ACCORDING TO THE ACTUATING MEDIUM Depending upon the actuating medium, automatic controllers may also be classified as : • Pneumatic Controllers • Electronic Controllers The kind of controller to be used for a particular application should be decided by the nature of the plant and operating conditions, including such considerations as safety, cost, reliability, availability, accuracy, weight & size.
  • 23.
  • 24. PNEUMATIC CONTROLLERS These controllers made the beginning in old generation automatic process control. Today also these are extensively used in industrial process controls due to their inherent flame/explosion proof characteristics as no electric currents are used/ generated. Pneumatic Controllers come as Panel mounting type and also field mounting type with weather proof enclosures. There are two basic components of pneumatic controllers : • Displacement sensing device (Flapper Nozzle system) • Pneumatic Relays
  • 25. Pneumatic Flapper Nozzle It is a displacer type pneumatic detector which converts displacement into a pressure signal. The diameter of the orifice is of the order of 0.25 mm & that of nozzle is 0.625 mm. The nozzle diameter should be larger than the orifice diameter.
  • 26. PNEUMATIC RELAYS It acts as the second stage amplifier . It is capable of handling a large quantity of air flow and is used to increase the gain in conjunction with a flapper nozzle .
  • 27. ADVANTAGES OF PNEUMATIC CONTROLLER • No fire hazard DISADVANTAGES : • Slow response • Condensate in instrument air causes choking action of the nozzle or relays. • Not practicable to keep the actuator at a long distance • Leakage in tubing can cause problems
  • 28. ELECTRONIC CONTROLLER Electronic controller use electric power to actuate the final control element. These types of controllers have a wide range of applications in modern process industries.
  • 29. BASIC PARTS OF ELECTRONIC CONTROLLER POWER Power Supply Manual SP Control Transfer Switch Output INPUT Deviation Automatic To signal PV Control element Display
  • 30. Electronic Loop Controller Characteristics 1.Simple PID control 2.Provisions for simple interlocking 3.User-initiated self-tuning 4.Multiple-level alarm priorities 5.External (upward) communications capability 6.Continuous self tuning 7.Hard-manual control station 8.Adaptive control 9.User-defined algorithms 10.Multiple loop-control capability with trend display
  • 31. VARIOUS TYPES OF ELECTRONIC CONTROLLERS GENERALLY USED • Yokogawa YS-170 controller • Yokogawa SLPC controller • ASCON AC-20 controller • SIEMENS PAC-353 controller • Bells 760 / 761 controller
  • 33. MAIN FEATURES OF YS-170 CONTROLLER • BARGRAPH / DIGITAL DISPLAY OF PV/SV/MV VALUES FOR ONE OR TWO LOOPS IS POSSIBLE. • TREND DISPLAY OF PROCESS-VARIABLE • BUILT-IN EEPROM TO STORE PARAMETERS AND USER PROGRAMS • BUILT-IN ADJUSTABLE SET-POINT FILTER TO PROVIDE BETTER RESPONSE TO SP CHANGES • OPTIMUM SELECTION OF PID PARAMETERS THROUGH SELF- TUNING FUNCTION • COMMUNICATION FACILITY WITH DCS OR PC • SELF-DIAGNOSTIC FEATURE • HARD-MANUAL OPERATION AND ON-LINE REPLACEMENT OF CONTROLLER , IN CASE OF FAILURE , IS POSSIBLE
  • 34. I/O SPECIFICATIONS • 4 NO. OF 1-5V DC ANALOG INPUTS • 1 NO. DIRECT INPUT ( mV, TC , RTD , 4-20mA FROM 2-WIRE Tx. Or FREQ. INPUT • 1 NO. 4-20mA ANALOG OUTPUT • 2 NO. 1-5V DC ANALOG OUTPUTS • 6 NO. STATUS I/Os ( ON SHARING BASIS) • 1 NO. FAIL OUTPUT SIGNAL
  • 35. FEATURES Controller modes: Programmable mode - Single-loop mode - Cascade mode Programming functions: - Versatile computation - Sequence logic computing function - Program capacity of up to 400 steps Control methods: - Basic PID control (built-in nonlinear control function) - Proportional control - Sampling PI control - Batch PID control - Feedforward control
  • 36. Variable set point filtering Self-tuning Alarm functions Input computing functions Output computing functions
  • 37. Trend recording: - Time span: 1.5 minutes to 45 hours - Interval: 1 second to 30 minutes Communication functions: - YS-net for Peer to Peer communication - RS-485 communication - DCS-LCS communication
  • 38. SLPC - SINGLE LOOP PROGRAMMABLE CONTROLLER The SLPC Programmable Indicating Controller is a microprocessor – based , user programmable instrument which provides signal computation and control functions as well as sequence logic functions. A single SLPC can simulate 2 PID controllers in cascade control or auto selector control configuration
  • 39. CONTROL MODULES BASIC CONTROL MODULE A single control module CASCADE CONTROL MODULE Two control modules connected in cascade SIGNAL SELECTOR CONTROL MODULE Two control modules connected in parallel
  • 40. OPERATING CIRCUITS • ANALOG INPUT CIRCUIT • A/D CONVERTER CIRCUIT • DIGITAL INPUT CIRCUIT • DIGITAL COMPUTING CIRCUIT • DIGITAL OUTPUT CIRCUIT • D/A CONVERTER CIRCUIT • ANALOG OUTPUT CIRCUIT
  • 41. COMPUTATION FUNCTIONS • READS THE INPUT X1 X2 SIGNAL • COMPUTES AND LD X1 • OUTPUTS THE LD X2 COMPUTED RESULT ADDITION + ST Y1 Y1
  • 42. ASCON AC 20 CONTROLLER MAIN FEATURES: •4 CONTROL LOOPS •8 ANALOG INPUTS •4 ANALOG OUTPUTS •8 OPTO- ISOLATEDDIGITAL I/O •1 FREQUENCY INPUT •12 CONTROL STRATEGIES STORED IN INSTRUMENT MEMORY •LCD GRAPHIC DISPLAY , BACKLIGHTED BY COOL-CATHODE LAMP
  • 43. ASCON AC 20 CONTROLLER STATION CAN PERFORM • DATA ACQUISITION AND MONITORING • REGULATION AND CONTROL • COMPLEX MATHEMATICAL FUNCTIONS • LOGIC AND SEQUENCING • ALARM FUNCTIONS • LOCAL MONITORING OF PROCESS DATA,CONTROL- FUNCTIONS,ALARMS & EVENTS • AUTOMATIC AND MANUAL COMMANDS
  • 44. SERIAL COMMUNICATION PORTS • RS485 MAIN COM PORT For communication with a supervisory computer Line Length: 1200 m maximum Units per line: 32 controllers with twisted pair cable Transmission Rate: 19200 baud . RS485 AUX COM PORT For commn. To Expansion units or to a computer for the backup of a data . RS 232 PROGRAMMING PORT For commn. To a PC running AC-Prograph for the design and testing of control strategies
  • 45. CASCADE CONTROL Cascade control is the most common multiloop control scheme in use. In this control scheme, the output of one primary controller is used to manipulate the setpoint of a secondary controller. The two controllers are cascaded with each other, but each has its own process variable input. The primary controller has an independent setpoint; its output goes to the secondary controller. It accepts the primary controller's output as its setpoint input and has its control output as the output to the process. This secondary controller is a closed loop within the primary loop.
  • 46.
  • 47. CONVENTIONAL CONTROL OF REACTOR TEMP.
  • 48. CASCADE CONTROL OF REACTOR TEMP.
  • 49. USE CASCADE CONTROL WHEN • The primary variable has a slow response to disturbances. • Process changes cause serious upsets in the controlled variable. • Another variable is affected by disturbances and is closely related to the control variable. • The secondary variable can be controlled, and it responds quickly to the primary controller.
  • 50. FEED-FORWARD CONTROL For cascade control to be an option, the variable causing the disturbance must be controllable. However, in some applications, a disturbance that cannot be controlled may occur. Feed-forward control measures the disturbance and feeds it directly to the output of the PID algorithm. Feedforward control is a control system that anticipates load disturbances and controls them before they can impact the process variable. Feedforward systems should be used in cases where the controlled variable has the potential of being a major load disturbance on the process variable ultimately being controlled
  • 51. Feedforward control An advantage of feedforward control is that error is prevented, rather than corrected
  • 52. Feedforward Plus Feedback ControlSystem feedforward-plus-feedback loop in which both a flow transmitter and a temperature transmitter provide information for controlling a hot steam valve
  • 53. SINGLE ELEMENT DRUM LEVEL CONTROL Single element control is the simplest strategy. In this system drum level is measured using a single measurement device & provides a control signal to the feed water control valve in direct relation to the current operating LT drum level. The single element drum level strategy is only P.V. effective for smaller boilers with relatively steady demands & slow to very moderate load changes. This is because the SHRINK & SWELL S.P. LIC effect causes an incorrect initial control reaction which can lead to over / under filling of the drum. As steam demand increases , there is an initial lowering of drum pressure resulting in an I/P artificial rise in drum level as the steam bubbles expand and swell the drum water level. This phenomenon sends a false control signal to reduce feed water flow , when in fact the feed water flow should be increasing to maintain mass balance. Conversely , on a loss of steam demand , there is FCV an initial rising of steam drum pressure which acts to lower the drum level by compressing the steam bubbles & shrinking the drum level. This sends a false signal to increase feed water flow when in fact it should be decreasing to maintain mass balance.
  • 54. TWO ELEMENT DRUM LEVEL CONTROL The Two element drum level strategy is suitable for processes with moderate load swings & speeds and it can be used on any size Drum Level Steam Flow of boiler. This system uses the two LT FT variables , drum level & steam flow to mass balance the feed water demand. In two element control , steam flow is P.V. measured along with boiler drum level. S.P. The steam flow signal is used in a feed LIC Sq. Root forward control loop to anticipate the need for an increase in feed water to maintain a constant drum level. Comp. This strategy has two drawbacks : Unit (i) Like the single element strategy the two element control can not adjust for pressure or load disturbances in feed water supply , as this is not a measured I/P variable in this strategy. (ii) The two element control can not eliminate phasing interaction between feed water flow & drum level because only the relatively slow process of drum FCV level is controlled.
  • 55. TWO ELEMENT DRUM LEVEL CONTROL
  • 56. THREE ELEMENT DRUM LEVEL CONTROL Three element drum level control adds a Drum Level Steam Flow Feed Water Flow feed water flow signal to the steam flow & boiler drum level signals used LT FT FT in two element feed water control. The drum level controller manipulates P.V. the feed water flow set point in S.P. conjunction with feed forward from LIC Sq. Root Sq. Root steam flow measurement. The feed forward component keeps the the feed water supply in balance with the Comp. steam demand. The drum level Unit controller trims the feed water flow set point to compensate for errors in S.P. the flow measurement or any other P.V. FIC unmeasured load disturbances that may effect drum level. The three element control is used in boilers I/P that experiences wide , fast load changes. FCV
  • 57. THREE ELEMENT DRUM LEVEL CONTROL
  • 58. REFERENCES • Fundamental of control -: PACONTROL.com • NFL Lectures • Yokogawa sites