基于改进人工蜂群优化算法的PID参数整定  

PID Parameter Tuning based on Improved Artificial Bee Colony Optimization Algorithm

作　　者：董如意 孙立勋 DONG Ruyi;SUN Lixun(School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin 132022,China)

机构地区：[1]吉林化工学院信息与控制工程学院,吉林吉林132022

出　　处：《吉林化工学院学报》2022年第5期73-76,共4页Journal of Jilin Institute of Chemical Technology

基　　金：吉林省教育厅科学技术研究项目(JJKH20220244KJ)。

摘　　要：针对传统的PID控制器参数整定方法中存在的整体效率低、控制效果差等问题,提出了一种改进的人工蜂群算法,在标准算法的搜索方程中引入差分进化算法的变异算子,并添加自适应调整参数,提升算法的收敛速度、增强局部寻优效果的同时,平衡了算法的全局探索和局部开发能力.实验表明,改进后的算法对PID控制器的参数整定优化有明显效果.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 was proposed,which introduced the mutation operator of the differential evolution algorithm into the search equation of the standard algorithm,and added 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 showed that the improved algorithm has obvious effect on parameter tuning optimization of PID controller.

关 键 词：人工蜂群算法 PID 参数整定 MATALB 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]