An improved particle swarm optimization algorithm for parameter optimization of proportional-integral-derivative controller

摘要

The performance of automatic control systems hinges on the parameters of proportional-integral-derivative (PID) controller. Therefore, this paper attempts to determine the most suitable parameter values of PID controller. For this purpose, the particle swarm optimization (PSO) was improved after introducing the flying time T and adaptive weight ω, and the improved PSO (IPSO) was compared against the basic PSO and the PSO modified with both inertial weight and constriction factor (PSO-ω, x). After that, the IPSO was applied to optimize the parameters of the PID controller. With a second-order inertia model as the control object, the parameters of PID controller optimized by the IPSO were contrasted with those optimized by the traditional Ziegler-Nichols optimization method. The results show that the IPSO is faster and more accurate than the traditional approach. The research findings provide new insights into the optimization of the PID controller and the application of the PSO.