关键词: PID参数整定, 细菌菌落优化算法, 智能优化算法, 时滞系统

Abstract: Aiming at the problem that the classical intelligent optimization algorithm has premature convergence and ineffective loop in PID parameter tuning, an improved bacterial colony optimization algorithm is proposed. The shrinkage factor and the guided random search strategy are introduced in the individual location update to balance the global search ability and local search ability of the algorithm, and the dynamic random search is performed near the global optimal position to improve the local convergence precision of the algorithm. The ITAE indicator is selected as the optimization target to build the objective function and constraints. The nonlinear hysteresis PID controller with time-delay is taken as an example. The simulation results show that the proposed algorithm has the ability to self-end while improving the convergence accuracy, which can effectively suppress the overshoot.

Key words: PID parameter tuning, bacterial colony optimization algorithm, intelligent optimization algorithm, delay systems