基于粒子群算法的一种非线性PID控制器

基于PID控制器各增益参数与偏差信号之间非线性关系,分析了一种P/I/D各部分参数关于误差的理想变化过程,根据控制与误差之间的调节规律,给定一组增益参数的连续非线性函数,构造出一种非线性PID控制器。粒子群算法具有对整个参数空间进行高效并行搜索的特点,采用该算法寻优整定该非线性PID控制器的各增益参数。仿真结果表明了所提算法的有效性和所设计控制器的优越性能。

A Nonlinear PID Controller Based on Particle Swarm Tuning Algorithm

The relationship between the error signal and gain parameters of PID controller is nonlinear,the ideal varying process of the individual tuning each part of PID controller concerning error can be analyzed.In this article,it is described that based on the tuning law between the control and error,and formulating the nonlinear function of each gain parameter,the nonlinear PID controller is constructed.Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concurrently and efficiently,this controller can be optimized by adopting PSO.The simulation results show that the algorithms are effective and the designed controller has excellent performance.