基于GA优化控制规则的汽车主动悬架模糊PID控制

Fuzzy-PID control strategy for an active suspension based on optimal control laws with genetic algorithm

主动悬架是未来汽车悬架的主要发展方向,它能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目的。对此,以车身垂直振动加速度为控制目标,将遗传算法与模糊PID控制策略融合,优化模糊PID控制器控制规则,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很好的减小车身垂直振动加速度,可进一步提高乘坐舒适性。

The main evolutive tendency of automotive suspension systems in future is active suspension. Automobile active suspension is able to adjust or produce controlling force according to vibration of a car-body. So it can maintain the optimal vibration reduction state of vehicle suspension. How to design control law is the key problem in order to produce the optimal control force and improve the ride of vehicle. Taking the vertical vibration acceleration of a car-body as a control objective, GA method and fuzzy-PID control strategy were mixed together, and the Control law of a fuzzy-PID controller was optimized. Adopting an optimized fuzzy-PID control method based on GA, a vehicle active suspension was controlled and an associated simulation model was established using Matlab code and Simulink diagram. Simulation results showed that the active suspension with a fuzzy-PID control strategy whose control rules are optimized with genetic algorithm can significantly suppress the body vibration and improve the vehicle ride comfort.