基于粒子群算法的控制系统校正

针对控制系统校正参数求解过程繁琐的问题，提出一种基于粒子群算法的控制系统校正方法。为了提高系统的校正效率，本设计方案首先将多个超前校正装置和滞后校正装置串联组合成多级校正装置，然后采用粒子群算法程序直接对多级校正装置的参数进行寻优，找出满足性能指标要求的多级校正装置的参数，从而实现控制系统的校正。仿真结果表明，这种方法不但简化校正的过程，提高控制系统校正的效率，而且扩展了可校正系统的范围。

Control System Compensating Based on PSO Algorithm

A correction method of the control system based on Particle Swarm Optimization(PSO) was proposed to deal with the cumbersome process in the parameters of the control system calibration.In this design method,in order to improve the efficiency of the system calibration,a multistage compensation unit consisting of lead compensation unit and lag compensation unit was used and then optimized the parameters in multistage compensation unit directly by program of PSO algorithm to find out those parameters satisfying the performance criteria,thus the control system was compensated.The simulation results show that,the method proposed is not only available for simplifying compensation process and improving the efficiency of the control system correction,but also extending the range of compensation systems.