Abstract
A fuzzy increment controller is designed aimed at the vibration system of automobile active suspension with seven degrees of freedom (DOF). For decreasing vibration, an active control force is acquired by created Proportion-Integration-Differentiation (PID) controller. The controller’s parameters are adjusted by a fuzzy increment controller with self-modifying parameters functions, which adopts the deviation and its rate of change of the body’s vertical vibration velocity and the desired value in the position of the front and rear suspension as the input variables based on 49 fuzzy control rules. Adopting Simulink, the fuzzy increment controller is validated under different road excitation, such as the white noise input with four-wheel correlation in time-domain, the sinusoidal input, and the pulse input of C-grade road surface. The simulation results show that the proposed controller can reduce obviously the vehicle vibration compared to other independent control types in performance indexes, such as, the root mean square value of the body’s vertical vibration acceleration, pitching, and rolling angular acceleration.
Highlights
It is generally known that automobile active suspension system can produce and adjust the active control force in time to restrain the vehicle body’s vibration for improving the ride comfort according to the road surface excitation
Through analysis we can see that the designed controller can reduce obviously the vehicle vibration and has good control effect compared to the independent control type
(1) The vibration model with seven degrees of freedom of automobile active suspension is derived and four fuzzy increment controllers are designed based on 49 rules for adapting the different real-time road input information
Summary
It is generally known that automobile active suspension system can produce and adjust the active control force in time to restrain the vehicle body’s vibration for improving the ride comfort according to the road surface excitation. Zhang et al proposed a semiactive suspension controller with magnetorheological dampers to realize independent control based on modified skyhook damping scheme of quartervehicle subsuspension system in the full vehicle [1]. Ren et al presented an adaptive hybrid control algorithm combined with the ground-hook and skyhook control strategies based on quarter car model of semiactive suspension and designed an unscented Kalman filter to estimate the suspension states [2]. Singh and Aggarwal designed a hybrid Fuzzy-PID controller to evaluate the passenger ride comfort based on a semiactive quarter car model having MR shock absorber [3]. The submodule of fuzzy increment controller and the random input model have been given, and the effectiveness of proposed controller has been validated adopting Simulink
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