计算机工程与应用2019，Vol.55Issue(24)：241-246,6.DOI:10.3778/j.issn.1002-8331.1809-0075
基于改进细菌菌落优化算法的PID参数整定
PID Parameter Tuning Based on Improved Bacterial Colony Optimization Algorithm
摘要
Abstract
Aiming at the problem that the classical intelligent optimization algorithm has premature convergence and inef-fective loop in PID parameter tuning, an improved bacterial colony optimization algorithm is proposed. The shrinkage fac-tor 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 posi-tion 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 accu-racy, which can effectively suppress the overshoot.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Key words
PID parameter tuning/bacterial colony optimization algorithm/intelligent optimization algorithm/delay systems分类
信息技术与安全科学引用本文复制引用
戴丽,罗廷芳,李杨,李明..基于改进细菌菌落优化算法的PID参数整定[J].计算机工程与应用,2019,55(24):241-246,6.基金项目
国家自然科学基金(No.31760182). （No.31760182）
