基于GA优化控制规则的汽车主动悬架模糊PID控制

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (22) : 157-162.

论文

基于GA优化控制规则的汽车主动悬架模糊PID控制

王威1 薛彦冰2 宋玉玲1

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Fuzzy-PID Control Strategy for Active Suspension based on Optimal Control Laws Using Genetic Algorithm

WANG Wei1 XUE Yanbing2 SONG Yuling1

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摘要

主动悬架是未来汽车悬架的主要发展方向，它能够根据车身的振动情况主动调整悬架控制力，使悬架处于最优减振状态，关键问题是如何设计控制规则，从而施加最优控制力，达到进一步改善汽车行驶平顺性的目的。针对该问题，以车身垂直振动加速度为控制目标，将遗传算法与模糊PID控制策略相融合，优化了模糊PID控制器的控制规则，采用基于GA优化后的模糊PID控制方法对汽车主动悬架进行控制并建立了Matlab文本与Simulink相结合的联合仿真模型。仿真结果表明，经GA优化后的模糊PID控制下的主动悬架能够很好的减小车身垂直振动加速度，可以进一步提高乘坐舒适性。

Abstract

The main evolutive tendency of the automotive suspension system in the future is called active suspension. Automobile active suspension is able to adjust or produce controlling force according to the vibration of bodywork. So it can maintain the optimal function of vehicle suspension. How to design the control law is the key problem which can produce the optimal control force and improve the ride of vehicle. In allusion to this problem, taking the vertical vibration accelerator of the bodywork as control objective, GA method and fuzzy-PID control strategy are mixed together, and the control law of fuzzy-PID controller is optimized. Based on GA optimizational fuzzy-PID control method, vehicle active suspension is controlled and an associated simulation model is established using Matlab code and Simulink diagram. Simulation results show that the active suspension with fuzzy-PID control strategy which control rules are optimized by genetic algorithm could significantly suppress the vibration of the body and improve vehicle ride comfort.

导出引用

王威薛彦冰宋玉玲. 基于GA优化控制规则的汽车主动悬架模糊PID控制[J]. 振动与冲击, 2012, 31(22): 157-162

WANG Wei XUE Yanbing SONG Yuling. Fuzzy-PID Control Strategy for Active Suspension based on Optimal Control Laws Using Genetic Algorithm[J]. Journal of Vibration and Shock, 2012, 31(22): 157-162