2010•Unpublished venueRequires access

Fuzzy-PID Control System Simulation of the Semi-active Vehicle Suspension

Yang Jianwei, Jie Li, Jia Zhixuan, Zhang Hui-gang

Open publisher page 5 citations

Abstract

A half-vehicle 4-DOF dynamic model was built up, as a non-linear, time-delay and uncertain system of vehicle suspension, the parameters of self-adjusting fuzzy PID controller was designed of semi-active suspension, which to achieve the functions of PID parameters on-line amendment, and the C-class road as an input signal. The use of Matlab/Simulink simulation software simulate the smoothness indicators of the semi-active suspension model. The results show that the fuzzy PID control of semi-active suspension compared to passive suspension and fuzzy control of semi-active suspension the body vertical acceleration, the body pitch angle acceleration, suspension dynamic deflection, tire dynamic load and other indicators of smoothness have greatly improved, validation of fuzzy PID control has better adaptive ability.

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What this paper is about

A half-vehicle 4-DOF dynamic model was built up, as a non-linear, time-delay and uncertain system of vehicle suspension, the parameters of self-adjusting fuzzy PID controller was designed of semi-active suspension, which to achieve the functions of PID parameters on-line amendment, and the C-class road as an input signal. The use of Matlab/Simulink simulation software simulate the smoothness indicators of the semi-active suspension model. The results show that the fuzzy PID control of semi-active suspension compared to passive suspension and fuzzy control of semi-active suspension the body vertical acceleration, the body pitch angle acceleration, suspension dynamic deflection, tire dynamic load and other indicators of smoothness have greatly improved, validation of fuzzy PID control has better adaptive ability.

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Available abstract

A half-vehicle 4-DOF dynamic model was built up, as a non-linear, time-delay and uncertain system of vehicle suspension, the parameters of self-adjusting fuzzy PID controller was designed of semi-active suspension, which to achieve the functions of PID parameters on-line amendment, and the C-class road as an input signal. The use of Matlab/Simulink simulation software simulate the smoothness indicators of the semi-active suspension model. The results show that the fuzzy PID control of semi-active suspension compared to passive suspension and fuzzy control of semi-active suspension the body vertical acceleration, the body pitch angle acceleration, suspension dynamic deflection, tire dynamic load and other indicators of smoothness have greatly improved, validation of fuzzy PID control has better adaptive ability.

Key concepts: Control theory (sociology), PID controller, Active suspension, Suspension (topology), Acceleration, MATLAB, Fuzzy control system, Fuzzy logic

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