摘要
针对车辆半主动悬架振动控制问题,提出了一种基于天牛须粒子群优化(Beetle Antennae Search and Particle Swarm Optimization, BAS-PSO)的自抗扰控制(Active Disturbance Rejection Control, ADRC)策略。通过搭建被控模型和设计自抗扰控制器,实现了对车辆悬架系统抗扰能力的增强。为解决ADRC参数需要人工试取整定的问题,在PSO算法的基础上融合了BAS算法,有效克服了粒子群的局部最优问题,并以车辆性能指标的均方根值为目标函数,进行控制算法优化。在MATLAB/Simulink环境下进行仿真实验时,将基于BAS-PSO的ADRC与被动悬架、粒子群的ADRC和粒子群PID控制进行了验证和比较。结果表明,所提出的控制策略具有更好的减振效果。
A method for active disturbance rejection control(ADRC)based on hybrid beetle antennae search and particle swarm optimization(BAS-PSO)is proposed to address the problem of semi-active suspension vi-bration control in vehicles.The vehicle suspension system's immunity is enhanced with the controlled model construction and active disturbance rejection controller design.The ADRC parameters must be manually tuned,which is the basis for the BAS algorithm,which successfully resolves the local optimal particle swarm problem.It optimizes the control algorithm using the root mean square value of the vehicle performance indicators as the goal function.The BAS-PSO based ADRC is compared and verified with passive suspension,particle swarm ADRC,and particle swarm PID control through simulation testing in the MATLAB/Simulink environment.The results show that the damping effect of the recommended ADRC control strategy is superior.
作者
张前满
汪志锋
徐洁
ZHANG Qianman;WANG Zhifeng;XU Jie(School of Inelligent Manufacturing and Control Engineering,Shanghai Polytechnie University,Shanghai 201209,China)
出处
《测控技术》
2023年第11期73-79,共7页
Measurement & Control Technology
