Aiming at the problems of low overall efficiency and poor control effect in the traditional PID controller parameter tuning method, an improved artificial bee colony algorithm is proposed, which introduces the mutation operator of the differential evolution algorithm into the search equation of the standard algorithm, and adds the adaptive adjustment parameter. This improvement can improve the convergence speed of the algorithm and enhance the local optimization ability, while balancing the global exploration and local development capabilities of the algorithm. Experiments show that the improved algorithm has obvious effect on parameter tuning optimization of PID controller.
董如意, 孙立勋.
基于改进人工蜂群优化算法的PID参数整定
[J]. 吉林化工学院学报, 2022, 39(5): 73-76.
DONG Ruyi, SUN Lixun.
PID parameter tuning based on improved artificial bee colony optimization algorithm
. Journal of Jilin Institute of Chemical Technology, 2022, 39(5): 73-76.