针对高阶非线性系统的位置控制器PID参数优化问题,以五阶传递函数横动伺服系统为例,结合粒子群算法成功实现了参数的优化。设计了粒子群算法的PID参数优化原理。在已知系统传递函数的基础上,利用ZN法进行参数初求解,然后利用粒子群算法对初解进行参数寻优,并将优化前后的系统进行动态性能对比,结果表明:优化后的高阶非线性系统动态性能更好,响应速度更快,调节时间更短,鲁棒性更强。

In order to optimize the position controller PID parameters of higher order nonlinear system, took the five order transfer function as an example, combining with the particle swarm optimization algorithm to achieve the parameter optimization. The PID parameter optimization principle of particle swarm optimization algorithm was designed. On the basis of the transfer function of the known system, the ZN method was used to solve the parameters of the system, Then used the particle swarm optimization algorithm to optimize the initial solution, and compare the dynamic performance of the system before and after the optimization, The results showed that the optimized high order nonlinear system had better dynamic performance, faster response speed, shorter time and better robustness.

TM 301.2

国家重点研发计划项目(2016YFC0104901)；广东水利电力职业技术学院创新强校工程自主创新能力提升类项目资助(050117)