基于PSO粒子群算法的PID参数整定优化

PID控制器是一种广泛应用于工业上的一种控制器,但由于传统的PID参数整定过程中一般需要经验丰富的工程技术人员来完成,既耗时又费力,加之实际系统千变万化,对于一些复杂系统存在一定的滞后性、非线性等因素,从而使得PID参数整定有一定的难度。本文基于对PSO粒子群优化算法的研究,对PID参数整定进行设计,考虑种群的规模与速度等因素合理构建系统模型,并且通过Matlab仿真证明了该算法在PID参数整定上的优越性,具有很好的工程应用前景。

PID Parameter Tuning Optimization Based on Particle Swarm Optimization

PID controller is widely used in industry as a controller, but due to the traditional PID parameter tuning process normally takes experienced engineers and technicians to complete, time-consuming and laborious, coupled with the ever-changing real system, tot some There is a certain lag of complex systems, nonlinear and other factors, so that the PID parameter tuning a certain degree of difficulty. This article is based on the PSO Particle Swarm Optimization Algorithm for PID parameter tuning the design, consider the population size and speed and other factors to structure the system model, and by Matlab simulation shows the algorithm in P1D parameter tuning superiority, with a very good application prospect.