Abstract—In this paper, an improved particle swarm optimization (PSO) with multiple subpopulations is developed for PID control system designs. The original single population needs to be divided into several subpopulations, and each subpopulation then tackles a corresponding performance index of the system. Under this proposed structure, several PID controllers can be simultaneously designed to meet different performance indexes when the algorithm is executed only one time. It is a great improvement because the general PSO algorithm with a single population can only deal with one performance index. To demonstrate the feasibility of the proposed scheme, a complicated chemical nonlinear process called the continuously stirred tank reactor (CSTR) is illustrated. Three different kinds of control operations are simulated including the step response control, set-point tracking control, and unstable equilibrium point control. For each control case five different performance indexes are assigned to guide the PID controller design combined with the nonlinear CSTR system. Simulation results will sufficiently confirm the superiority of the proposed algorithm.
Index Terms—Multi-strategy particle swarm optimization, subpopulations, PID control, continuously stirred tank reactor (CSTR); nonlinear systems.
W. D. Chang is with the Department of Computer and Communication, Shu-Te University, Kaohsiung, Taiwan (e-mail: wdchang@stu.edu.tw).
Cite: Wei-Der Chang, "An Improved Particle Swarm Optimization with Multiple Strategies for PID Control System Design," International Journal of Modeling and Optimization vol. 12, no. 2, pp. 54-60, 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Copyright © 2008-2024. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com