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IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 7, 2013 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 1472
Abstract— The proposed study is to develop an active
suspension system to increase the comfort for the passenger
by reducing the body acceleration. The dynamic quarter car
suspension system is considered for mathematical modelling
and simulation is carried using MATLAB SIMULINK. The
present suspension system is controlled by Proportional-
Integral -Derivative controller. The system performance is
analysed using the single speed bump road surface and the
effectiveness is evaluated with active and passive controlled
systems.
I. INTRODUCTION
The road surface in reality is not uniform and thus when a
vehicle goes on a road, due to the irregularity in its surface
and increasing forward acceleration of the vehicle the
wheel-hop occurs which act as an excitation to vehicle body
to vibrate these vibration makes the passenger easily fatigue
and make them to feel the tiredness of the travel and also the
frequent failure of the vehicle component occurs in order to
overcome this effect the suspension [1,2,3]evolves in the
field of automobile.
The suspension is the mechanism comprises of spring and
damper which act as a link to wheel and the axes to the body
of the vehicle, which is mainly designed to isolate the
sprung mass from the vibration of un-sprung mass produced
by the road irregularities. The suspension has three
important function they are it should be capable to bear the
entire weight of the sprung mass, it should increase the road
holding ability of the vehicle to ensure the stability and
traction of the vehicle, it should minimize the suspension
travel and it should improve the ride comfort [4,5]. The ride
comfort of the vehicle is increased by reducing the vertical
acceleration of body (bouncing). The road holding ability of
the vehicle is increased by minimizing the suspension travel.
The elements of the suspension system are spring, damper
and tyre, on the addition of actuator it becomes the active
suspension. The stiffness is the ability of the material to
resist the deformation. For the better suspension the under
damped is preferred as it controls both the frequency and
settling time. Thus the spring stores the energy and the
damper dissipate the stored energy of the spring due to the
vibration produced by the irregularities of the road. The
vehicle tire also has some stiffness since the air is used in
tires which is compressible will play a part in cushioning
and also has the damping value as it is made of rubber
which is a elastic membrane but the damping value of the
tire is very negligible thus it is eliminated.
II. MATHEMATICAL MODEL
The motions of the body are confined to only vertical
motion of the vehicle. The suspension spring, dampers are
considered to be spring and damper with equivalent stiffness
and damping value. The tire of the vehicle is also considered
to be a spring with equivalent spring stiffness. The vibration
excitation to the system is considered as the road input, the
road input to the modeled system is considered to be road
model of 5cm bump generated in the MAT lab
The springs and dampers between the sprung mass and
unsprung mass represents the vehicle suspension. The
suspension system itself is shown to consist of a spring ks, ,
a damper Cs and a active force actuator Fa. . The vertical
stiffness of the tyre is represented by the spring kt. The
variable ys, yus and yr represent the vertical displacement
from static equilibrium of the sprung mass, unsprung mass
and road respectively
Fig. 1: Active Suspension System
The dynamic model of the suspension system is derived
using Newton‟s second law of motion which states that
force produced is equal to product of mass and acceleration
by using the free body diagram the mathematical equation is
derived for both the passive system and the active
suspension system and these equations used to model the
suspension system.
A. Passive Suspension System
̈ [ ( ̇ ̇ ) ( )]
(2)
̈ [ ( ̇ ̇ ) ( ) ( )]
(4)
B. Active Suspension System
̈ [ ( ̇ ̇ ) ( ) ] (6)
Mathematical Modeling and Simulation of Two Degree of Freedom
Quarter Car Model
B. Arun1
Dr. J. Jancirani2
K. Prabu3
DennieJohn4
1,2,3,4
Department of Automobile Engineering
1,2,3,4
M. I. T Campus, Anna University, Chennai India.
Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model
(IJSRD/Vol. 1/Issue 7/2013/0023)
All rights reserved by www.ijsrd.com 1473
̈ [ ( ̇ ̇ ) ( ) ( )
] (8)
III. CONTROL SYSTEM
The proportional integral derivative controller design is
based on the proper selection of the PID controlling
parameters such as proportional constant Kp, integral
constant Ki and time derivative constant Kd. Each parameter
has its own functioning related to the suspension system.
The fig.2 denotes the closed loop control system here the
variable e denotes the tracking error, R represents the
reference signal, „t‟ represents the feedback, „y‟ denotes the
output of the system and „u‟ represents the control signal
given to the plant model i.e suspension system which will be
equal to summation of the proportional gain Kp times of
magnitude of error ,integral gain Ki times of integral of the
error and the derivative gain Kd times of derivative of the
error. The mathematical model [6,7] of the system PID is
∫ (13)
Fig. 2: Block diagram of control system
IV. SIMULATION
For the simulation the vehicle parameter considered are
shown in the table 1 and the simulation [fig.3] is performed
using the MATLAB.
Fig. 3: Simulation model of Quarter car model
Sprung Mass in Kg ms=290;
Unsprung Mass in Kg mus=59;
Suspension spring Stiffness in N/m ks=16812;
Tyre Stiffness in N/m kt=190000;
Suspension Damper in N s/m cs=1000.
Table. 1
The created model is tested by giving a 5cm single road
bump [9] to know about the system characteristic.
( ) {
[ ] ( )
This is because only by the single bump road input we can
able to get clear view system characteristics.
We consider the following road input that can be modeled
bump
V. RESULTS AND DISCUSSION
From the results obtained through simulation of the
proposed model for various behaviors of the model i.e
suspension travel, body displacement, body acceleration and
wheel travel it is observed that the road bump of 5cm as
shown below is considered for the road input to the system.
The obtained graph from the simulation of the model
implies that body acceleration of the active suspension
system is greatly reduced to that of the passive suspension
system thus increases the ride comfort of the vehicle. In
suspension travel graph first a trough is formed this implies
the compression of the suspension system then the crest that
indicates the rebound of the system. For better result the
trough should be large than the crest, this is shown by active
suspension system which maintains the working
Fig. 4: Road bump model
Fig. 5: Vehicle Body Acceleration for single bump road
input
Fig..6: Suspension deflection for single bump road input
Tyre Displacement
a3
To Workspace3
a2
To Workspace2
a1
To Workspace1
a
To Workspace
Suspension Deflection
Signal 3
S2-4cm
S3-5cm
In1
PSD
PBD
PBA
PTD
ASD
ABD
ABA
ATD
Quarter car model
Body Displacement
Acceleration
Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model
(IJSRD/Vol. 1/Issue 7/2013/0023)
All rights reserved by www.ijsrd.com 1474
Fig. 7: Vehicle body displacement for single bump road
input
Fig. 8: Vehicle tyre displacement for single bump road input
The wheel displacement graph at first look, the curves are
seem to be saying that passive system has low tyre
displacement ensuring high traction but when we deeply
look into it for the quick settling time the possible enough
traction is given by the active system. This is because in
passive the suspension is not as good and transfer the
vibration countered by the wheel to the passenger
compartment thus its wheel travel is minimum but it is
converse in the case of active suspension system
VI. CONCLUSION
The active suspension system with conventional suspension
was studied analytically and simulation shows that the
optimum result is produced by active system. The
mathematical modeling of an active suspension system
developed analytically. The simulation was carried out for
dynamic suspension system and the results shows that the
proposed system has been effectively applied to suppress the
oscillation amplitudes of a quarter car active suspension
system.
REFERENCE
[1] P M Sharkey (1996), Yorick 85CR (my robot head),
University of Reading, UK. Takeshi Mizuno, Masaya
Takasaki, Daisuke Kishita, Keiichiro Hirakawa
(2007)„Vibration isolation system combining zero
power magnetic suspension with springs‟- control
Engineering Practice Volume 15, pp 187-196
[2] Yahaya Md.Sam, Johari H.S.Osman, M.Ruddin,
Ghani (2006) „A Class of Proportional- Integral
Sliding Mode Control with Application to Active
Suspension System. Systems and control letters‟,
Volume 51, pp 217-223
[3] A. G. Thomson and B. R .Davis (1992) „Optimal
active suspension design using a frequency shaping
PID filter‟, Vehicle system Dynamics, Volume 21,
pp.19-37
[4] Chen-Sheng Ting, Tzuu-HsengS.LI and Fan- Chu
Kung (1995) „Design of Fuzzy controller for Active
suspension system‟Volume 5, pp 365-383
[5] Haiping Du, Nong Zhang (2007) „H∞ Control of
active suspensions with actuator time delay‟, Journal
of sound and vibration, Volume 301, pp 236-252
[6] DingyuXue, YangQuan Chen, and Derek P. Atherton,
2007, “Linear Feedback Control: Analysis and
Design “, the Society for Industrial and Applied
Mathematics, pp 184-230
[7] O. A. Dahunsi, j. O. Pedro and O. T. Nyandoro ,2010,
“System identification and neural network based
PID Control of servo - hydraulic vehicle suspension
System “, south African institute of electrical
engineers, vol.101 (3) , pp 93-105.
[8] Hua Li, Chuanyin Tang, Dexu Yang, XuezoneTao,
2009”Simulation of semi active air suspension based
on neural network adaptive control
algorithm”,IEEE,2nd international conference on
Intelligent computation Technology and
automation,pp236-239.
[9] Dennie John, Dr. J. Jancirani , K. Prabu, 2013
“mathematical modelling of a pneumatically actuated
half car active suspension” International Journal for
Scientific Research and Development.

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Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 7, 2013 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 1472 Abstract— The proposed study is to develop an active suspension system to increase the comfort for the passenger by reducing the body acceleration. The dynamic quarter car suspension system is considered for mathematical modelling and simulation is carried using MATLAB SIMULINK. The present suspension system is controlled by Proportional- Integral -Derivative controller. The system performance is analysed using the single speed bump road surface and the effectiveness is evaluated with active and passive controlled systems. I. INTRODUCTION The road surface in reality is not uniform and thus when a vehicle goes on a road, due to the irregularity in its surface and increasing forward acceleration of the vehicle the wheel-hop occurs which act as an excitation to vehicle body to vibrate these vibration makes the passenger easily fatigue and make them to feel the tiredness of the travel and also the frequent failure of the vehicle component occurs in order to overcome this effect the suspension [1,2,3]evolves in the field of automobile. The suspension is the mechanism comprises of spring and damper which act as a link to wheel and the axes to the body of the vehicle, which is mainly designed to isolate the sprung mass from the vibration of un-sprung mass produced by the road irregularities. The suspension has three important function they are it should be capable to bear the entire weight of the sprung mass, it should increase the road holding ability of the vehicle to ensure the stability and traction of the vehicle, it should minimize the suspension travel and it should improve the ride comfort [4,5]. The ride comfort of the vehicle is increased by reducing the vertical acceleration of body (bouncing). The road holding ability of the vehicle is increased by minimizing the suspension travel. The elements of the suspension system are spring, damper and tyre, on the addition of actuator it becomes the active suspension. The stiffness is the ability of the material to resist the deformation. For the better suspension the under damped is preferred as it controls both the frequency and settling time. Thus the spring stores the energy and the damper dissipate the stored energy of the spring due to the vibration produced by the irregularities of the road. The vehicle tire also has some stiffness since the air is used in tires which is compressible will play a part in cushioning and also has the damping value as it is made of rubber which is a elastic membrane but the damping value of the tire is very negligible thus it is eliminated. II. MATHEMATICAL MODEL The motions of the body are confined to only vertical motion of the vehicle. The suspension spring, dampers are considered to be spring and damper with equivalent stiffness and damping value. The tire of the vehicle is also considered to be a spring with equivalent spring stiffness. The vibration excitation to the system is considered as the road input, the road input to the modeled system is considered to be road model of 5cm bump generated in the MAT lab The springs and dampers between the sprung mass and unsprung mass represents the vehicle suspension. The suspension system itself is shown to consist of a spring ks, , a damper Cs and a active force actuator Fa. . The vertical stiffness of the tyre is represented by the spring kt. The variable ys, yus and yr represent the vertical displacement from static equilibrium of the sprung mass, unsprung mass and road respectively Fig. 1: Active Suspension System The dynamic model of the suspension system is derived using Newton‟s second law of motion which states that force produced is equal to product of mass and acceleration by using the free body diagram the mathematical equation is derived for both the passive system and the active suspension system and these equations used to model the suspension system. A. Passive Suspension System ̈ [ ( ̇ ̇ ) ( )] (2) ̈ [ ( ̇ ̇ ) ( ) ( )] (4) B. Active Suspension System ̈ [ ( ̇ ̇ ) ( ) ] (6) Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model B. Arun1 Dr. J. Jancirani2 K. Prabu3 DennieJohn4 1,2,3,4 Department of Automobile Engineering 1,2,3,4 M. I. T Campus, Anna University, Chennai India.
  • 2. Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model (IJSRD/Vol. 1/Issue 7/2013/0023) All rights reserved by www.ijsrd.com 1473 ̈ [ ( ̇ ̇ ) ( ) ( ) ] (8) III. CONTROL SYSTEM The proportional integral derivative controller design is based on the proper selection of the PID controlling parameters such as proportional constant Kp, integral constant Ki and time derivative constant Kd. Each parameter has its own functioning related to the suspension system. The fig.2 denotes the closed loop control system here the variable e denotes the tracking error, R represents the reference signal, „t‟ represents the feedback, „y‟ denotes the output of the system and „u‟ represents the control signal given to the plant model i.e suspension system which will be equal to summation of the proportional gain Kp times of magnitude of error ,integral gain Ki times of integral of the error and the derivative gain Kd times of derivative of the error. The mathematical model [6,7] of the system PID is ∫ (13) Fig. 2: Block diagram of control system IV. SIMULATION For the simulation the vehicle parameter considered are shown in the table 1 and the simulation [fig.3] is performed using the MATLAB. Fig. 3: Simulation model of Quarter car model Sprung Mass in Kg ms=290; Unsprung Mass in Kg mus=59; Suspension spring Stiffness in N/m ks=16812; Tyre Stiffness in N/m kt=190000; Suspension Damper in N s/m cs=1000. Table. 1 The created model is tested by giving a 5cm single road bump [9] to know about the system characteristic. ( ) { [ ] ( ) This is because only by the single bump road input we can able to get clear view system characteristics. We consider the following road input that can be modeled bump V. RESULTS AND DISCUSSION From the results obtained through simulation of the proposed model for various behaviors of the model i.e suspension travel, body displacement, body acceleration and wheel travel it is observed that the road bump of 5cm as shown below is considered for the road input to the system. The obtained graph from the simulation of the model implies that body acceleration of the active suspension system is greatly reduced to that of the passive suspension system thus increases the ride comfort of the vehicle. In suspension travel graph first a trough is formed this implies the compression of the suspension system then the crest that indicates the rebound of the system. For better result the trough should be large than the crest, this is shown by active suspension system which maintains the working Fig. 4: Road bump model Fig. 5: Vehicle Body Acceleration for single bump road input Fig..6: Suspension deflection for single bump road input Tyre Displacement a3 To Workspace3 a2 To Workspace2 a1 To Workspace1 a To Workspace Suspension Deflection Signal 3 S2-4cm S3-5cm In1 PSD PBD PBA PTD ASD ABD ABA ATD Quarter car model Body Displacement Acceleration
  • 3. Mathematical Modeling and Simulation of Two Degree of Freedom Quarter Car Model (IJSRD/Vol. 1/Issue 7/2013/0023) All rights reserved by www.ijsrd.com 1474 Fig. 7: Vehicle body displacement for single bump road input Fig. 8: Vehicle tyre displacement for single bump road input The wheel displacement graph at first look, the curves are seem to be saying that passive system has low tyre displacement ensuring high traction but when we deeply look into it for the quick settling time the possible enough traction is given by the active system. This is because in passive the suspension is not as good and transfer the vibration countered by the wheel to the passenger compartment thus its wheel travel is minimum but it is converse in the case of active suspension system VI. CONCLUSION The active suspension system with conventional suspension was studied analytically and simulation shows that the optimum result is produced by active system. The mathematical modeling of an active suspension system developed analytically. The simulation was carried out for dynamic suspension system and the results shows that the proposed system has been effectively applied to suppress the oscillation amplitudes of a quarter car active suspension system. REFERENCE [1] P M Sharkey (1996), Yorick 85CR (my robot head), University of Reading, UK. Takeshi Mizuno, Masaya Takasaki, Daisuke Kishita, Keiichiro Hirakawa (2007)„Vibration isolation system combining zero power magnetic suspension with springs‟- control Engineering Practice Volume 15, pp 187-196 [2] Yahaya Md.Sam, Johari H.S.Osman, M.Ruddin, Ghani (2006) „A Class of Proportional- Integral Sliding Mode Control with Application to Active Suspension System. Systems and control letters‟, Volume 51, pp 217-223 [3] A. G. Thomson and B. R .Davis (1992) „Optimal active suspension design using a frequency shaping PID filter‟, Vehicle system Dynamics, Volume 21, pp.19-37 [4] Chen-Sheng Ting, Tzuu-HsengS.LI and Fan- Chu Kung (1995) „Design of Fuzzy controller for Active suspension system‟Volume 5, pp 365-383 [5] Haiping Du, Nong Zhang (2007) „H∞ Control of active suspensions with actuator time delay‟, Journal of sound and vibration, Volume 301, pp 236-252 [6] DingyuXue, YangQuan Chen, and Derek P. Atherton, 2007, “Linear Feedback Control: Analysis and Design “, the Society for Industrial and Applied Mathematics, pp 184-230 [7] O. A. Dahunsi, j. O. Pedro and O. T. Nyandoro ,2010, “System identification and neural network based PID Control of servo - hydraulic vehicle suspension System “, south African institute of electrical engineers, vol.101 (3) , pp 93-105. [8] Hua Li, Chuanyin Tang, Dexu Yang, XuezoneTao, 2009”Simulation of semi active air suspension based on neural network adaptive control algorithm”,IEEE,2nd international conference on Intelligent computation Technology and automation,pp236-239. [9] Dennie John, Dr. J. Jancirani , K. Prabu, 2013 “mathematical modelling of a pneumatically actuated half car active suspension” International Journal for Scientific Research and Development.