基于遗传算法的汽车主动悬架变论域模糊PID控制OACSTPCD
Variable universe fuzzy PID control for vehicle active suspension based on genetic algorithm
针对1/4车主动悬架系统,提出一种基于遗传算法(genetic algorithm,GA)的变论域模糊比例-积分-微分(proportional-integral-differential,PID)控制方法.在建立主动悬架系统模型的基础上,引入变论域思想设计模糊PID控制器.为进一步改善控制器减振效果,采用GA来优化变论域中伸缩因子描述函数的参数.结果表明:相比PID、模糊PID与未优化的变论域模糊PID等控制方法,基于GA的变论域模糊PID控制方法在降低车身垂向加速度、改善乘坐舒适性方面具有优越性;所提控制方法对簧载质量和车辆行驶速度不确定性具备较强的鲁棒性.
The variable universe fuzzy proportional-integral-differential(PID)control method based on genetic algorithm(GA)was proposed for the quarter-car active suspension system.Based on the establishment of the active suspension system model,the fuzzy PID controller was designed by introducing the idea of variable universe.To further improve the vibration attenuation effect of the controller,GA was employed to optimize the parameters in description functions of the expansion factor for variable universe.The simulation results show that compared with PID,fuzzy PID and unoptimized variable universe fuzzy PID control methods,the GA-based variable universe fuzzy PID method has superiority for reducing the vertical acceleration of the vehicle body and improving the ride comfort.The proposed control method has strong robustness against uncertainties of sprung mass and vehicle speed.
薛文平;张春玲
江苏大学 电气信息工程学院, 江苏 镇江 212013
交通运输
汽车主动悬架模糊PID控制变论域遗传算法伸缩因子
vehicle active suspensionfuzzy PID controlvariable universegenetic algorithmexpansion factor
《江苏大学学报（自然科学版）》 2024 (001)
8-15 / 8
国家自然科学基金资助项目(51705206);江苏大学高级人才科研启动基金资助项目(14JDG168)
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