基于CLSPSO的PID算法在柴油机调速控制中的应用

Application of CLSPSO Based PID Algorithm to Speed Control of Diesel Engine

针对在柴油机系统中利用常规方法整定PID控制器参数的品质较差,采用混沌粒子群算法(CLSPSO)来优化整定控制器参数,并根据柴油机调速系统的传递函数模型,通过MATLAB/Simulink搭建仿真模型实验,同时将其整定PID参数的结果与另外两种算法(PSO和GA)整定的结果相对比,结果表明通过混沌粒子群算法整定得到的参数品质更加理想,超调量明显变小,响应迅速,收敛加快,使柴油机调速系统的动态性能有一定幅度的提升。

For in a diesel engine system using conventional method of setting PID controller parameters was of poor quality,this paper adopts Chaotic Local Search Particle Swarm Optimization algorithm（ CLSPSO） to optimize the parameters of controller,and according to the transfer function model of diesel engine speed control system,build a simulation experiment by MATLAB / Simulink,and the PID parameter tuning results with the other two algorithms（ PSO and GA） tuning results comparison,the results show that the parameters of quality by the Chaotic Local Search Particle Swarm Optimization algorithm tuning are more ideal,overshoot is significantly smaller,quick response,convergence speed,dynamic performance of the diesel engine speed control system to enhance certain extent.