fuzzy controller for quarter car model

7/30/2019 fuzzy controller for quarter car model

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Seminar-I onFuzzy Control for a Quarter Car Model

for an Active Suspension System

By

Amita Deshmukh


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Contents

M.E. Mechanical - Mechatronics2

1. Objective

2. Introduction

3. One quarter car model

4. Fuzzy logic controller5. Design of FLC for the suspension system

6. Simulink model of suspension system using FLC

7.

Performance of FLC for suspension control


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Objective


To review the work done in the area of adaptive

control methods to improve properties of vehicle

suspension system. To study effectiveness andconvenience offuzzy logic controllermethod for

suspension control.


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1. Introduction


Vehicle suspension system

1. Primary suspension system

2. Active suspension system

3. Semi active suspension system


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Literature review


Publication Title Author Objective Conclusion

InternationalJournal ofAerospace andMechanicalEngineering 4:4201

Fuzzy Control ofa Quarter-CarSuspensionSystem

M. M. M. Salem,and Ayman A.Aly

The paperdescribes themodel andcontroller used inthe vehicle andresponse results

obtained from arange of roadinput simulations

The results of theactive suspensionsystem based onthe fuzzy logiccontroller showthe improved

stability of theone-quarter-carmodel.

InternationalJournal of

Engineering andApplied Sciences(IJEAS) Vol.2,Issue 4(2010)27-37

ActiveSuspension Of

Cars Using FuzzyLogic ControllerOptimized ByGeneticAlgorithm

R. K. Pekgkgz,M. A. Grel, M.

Bilgehan, M.Ksa

To study if thefuzzy method can

be used for theactive control ofcar suspensionsystems.

A FLC for theactive suspension

of cars has beenstudied. It showsa betterperformance


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2. One quartet car model



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Parameters of an active suspension system


1 = 1 1 2 1 1 2 +u (1)

2 = 1 1 2 + 1 1 2 + 1 2 +

1 1 2 (2)

Parameters Amount (Body mass or sprung mass) 2500 Kg (Suspension mass unsprung mass) 320 Kg1 (Suspension spring constant) 80000 N/m2 (tyre stiffness) 5000000 N/m1 (Damping constant of suspension) 350 N/m2 (Damping constant of suspension) 12050 N/m


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4. Fuzzy Logic Controller



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5. Design of FLC for the suspension system


NV: Negative Very Big PS: Positive Small NB: Negative Big PM: Positive Medium NM: Negative Medium PB: Positive Big NS: Negative Small PV: Positive Very Big ZE: Zero

R1: IF ( 1 2 = PM) AND ( 1 = PM) AND ( 1 = ZE)THEN (u = ZE)

R2: IF ( 1 2 = PS) AND ( 1 = PM) AND ( 1 = ZE)THEN (u = NS)

.. R75: IF ( 1 2 = NM) AND ( 1 = NM) AND ( 1 = P)

THEN (u = PS)


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6. Simulink model of suspension system using FLC



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7. Performance of FLC for suspension control



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Suspension controller responses with

sinusoidal input


sine wave input disturbance with amplitude of 1(cm) andfrequency of 1 Hz is used.

While the sinusoidal input is applied to the suspensionsystem, fuzzy controller eliminates 75% of the

disturbances during first 4 sec. and about 90% for the restperiod.


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square-wave input


square wave input disturbance with amplitude of 1 (cm)and frequency of 1 Hz is used

In the case of square wave disturbances, average 50%disturbances were rejected from the system during whole

period.


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Suspension controller responses with saw

tooth wave input


saw tooth input disturbance with output values [0 2](disturbance changing from 0 to 1) and frequency of 0.5Hz is used

For the saw-tooth wave disturbances, 15-20%

disturbances are present during all over the period.


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random number input


random number input disturbance with variance of 1,mean value of 0, initial speed of 0 and sampling time 0 isused.

For random disturbances, fuzzy controller is able to

eliminate the disturbances entirely.


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Summary


From the results it can be seen that FLC model is effectivefor an active suspension system. By changing its sign onlyfor once and decreasing gradually, FLC conveys thesystem to a stable condition in an effective manner. It has

been shown that the fuzzy-logic controller displays betterperformance for the minimization of the maximum bodydeflection.

Since the road model is almost irregular therefore different

type disturbances are applied to the system. Fuzzy logiccontroller was applied to car suspension system withdifferent type disturbances. Where FLC shows asatisfactory performance.


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References


M. M. M. Salem, and Ayman A. Aly, International Journal of Aerospace and Mechanical

Engineering 4:4 2010 R. K. Pekgkgz, M. A. Grel, M. Bilgehan, M. Ksa International Journal of Engineering and

Applied Sciences (IJEAS) Vol.2, Issue 4(2010)27-37

V. Sankaranarayanan, M. Engin Emekli, Bilin Aksun Guvenc, Levent Guvenc,E.SerdarOzturk, S. Server Ersolmaz, I. Erhan Eyol, and Mustafa Sinal IEEE/ASME transactions onmechatronics, vol. 13, no. 5, october 2008

Jiangtao Cao Member, IEEE, Ping Li Senior Member, IEEE and Honghai Liu Senior Member,

IEEE Proceedings of the 44th IEEE Conference on Decision and Control, and the EuropeanControl Conference 2005 Seville, Spain, December 12-15, 2005

A. Aldair and W. J. Wang, 2010 1st International Conference on Energy, Power and Control(EPC-IQ), College of Engineering, University of Basrah, Basrah, Iraq, November 30 -December 2, 2010

L Emir Sakman, Rahmi Guclu And Nurkan Yagiz, Sadhan a Vol. 30, Part 5, October 2005,pp. 649659. Printed in India

Jun Wang, David A. Wilson, Wenli Xu, David A. Crolla

Dae Sung Joo, and Nizar Al-Holou, Ph.D. Department of Electrical Engineering University ofDetroit-Mercy, Detroit, MI 48219

Web sites:

www.intechopen.com


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fuzzy controller for quarter car model

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