Studying of Fuzzy Logic Control for Semi-Active Suspension Based on Improved Genetic Algorithm

2010 ◽  
Vol 143-144 ◽  
pp. 929-932
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu

Establishing a 2-DOFs of 1/4 semi-active suspension system model, using genetic algorithm approach, to design fuzzy logic controller of the semi-active suspension and simulate in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

2010 ◽  
Vol 44-47 ◽  
pp. 1496-1499 ◽  
Author(s):  
Rui Zhen Gao ◽  
Zhi Qiang Xu ◽  
Jing Jun Zhang

This paper completes a full car semi-active suspension system model, using improved genetic algorithm approach to optimize the fuzzy logic rules and the co-simulation were carried out in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.


2010 ◽  
Vol 143-144 ◽  
pp. 956-960 ◽  
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu

The study is researched to establish a multi-body dynamic model of the Vehicle by using Adams /Car software package. Using genetic algorithm approach,fuzzy logic controller of the semi-active suspension was designed, simulated in the environment of Matlab/Simulink.. The results of being compared with the passive suspension demonstrate that this developed fuzzy logic controller based on Adams /Car and Matlab/Simulink enhances the performance of the full car suspension system significantly.


Author(s):  
Mohd Avesh ◽  
Rajeev Srivastava ◽  
Rakesh Chandmal Sharma ◽  
Neeraj Sharma

The study deals with the light passenger vehicle suspension system design to improve the ride quality. The fuzzy logic control approach is applied to the half car suspension system model by adjusting the control parameters and properties using online adaptation with a minimized cost function and reduced hardware complexity. The performance of resulting model is tested under the influence of trapezoidal and triangular membership functions using the 9, 25 and 49 rules-set. The controller robustness is observed at different performance indices. Road excitations in the form of disturbance input are modelled as the sinusoidal function of a speed bump to reveal the transient response of the automotive body. Ultimately, the performance of active suspension system has been improved in terms of displacement and acceleration of seat, heave, pitch, and roll by the application of proposed fuzzy logic controller. Results reported that the trapezoidal shape 25 rules set membership function based fuzzy logic controller gives the best performance between the investigated systems.


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