基于被囊群优化模糊PID算法的电磁主动悬架控制研究

Research on Electromagnetic Active Suspension Control Based on TSA Fuzzy PID Algorithm

针对传统被动悬架系统在不同路面条件下减振效果不佳的问题,提出一种基于被囊群优化算法的电磁主动悬架变论域模糊PID控制算法。首先构建电磁主动悬架的数学模型,然后设计利用被囊群算法优化的变论域模糊PID控制器,最后通过MATLAB/Simulink软件在B级路面条件下对电磁主动悬架进行仿真测试,并与传统被动悬架的性能进行对比分析。仿真结果表明,采用电磁主动悬架的汽车在B级路面上的车身加速度较传统被动悬架减少39%,同时操控性能有显著提升。

Aiming at the problem that the traditional passive suspension system has poor vibration reduction effect under different road conditions,this paper proposes a variable universe fuzzy PID control algorithm for electromagnetic active suspension based on TSA.Firstly,the mathematical model of electromagnetic active suspension is constructed,and then the variable domain fuzzy PID controller optimized by TSA is designed.Finally,the electromagnetic active suspension is simulated and tested by MATLAB/Simulink software under class B road conditions,and the performance of electromagnetic active suspension is compared with that of traditional passive suspension.The simulation results show that the body acceleration of the vehicle using electromagnetic active suspension on B-class road is 39%less than that of the traditional passive suspension,and the handling performance is significantly improved.