PID Controller Parameter Tuning Based on Improved Particle Swarm Optimization Algorithm

Abstract

Improved PSO algorithms combined with Simulated Annealing are proposed in this paper to solve the problems of the original PSO algorithm. After that three further improvements are proposed respectively from the parameters adjustment, the organization structure and evolution, and the topology structure. Four common test functions are used to test the optimizing performances of the improved PSO algorithms in the paper. The test results indicate that all the improved PSO algorithms have better performances compared with former PSO algorithms. Finally, the improved PSO algorithm is applied to PID parameter tuning, and the simulation experiment results prove that the improved PSO algorithm proposed in this paper is more feasible than other intelligent algorithms.

Parabolic trough solar–thermal–wind–diesel isolated hybrid power system: active power/frequency control analysis

“…Similar steps are applied to a PI controller also in this case, there are two parameters to be optimised for each controller. The basic steps involved in optimising the parameters of the controllers using GA and PSO as reported in [27, 39] are followed.…”