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吉林化工学院学报, 2022, 39(5): 73-76     https://doi.org/10.16039/j.cnki.cn22-1249.2022.05.015
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基于改进人工蜂群优化算法的PID参数整定
董如意,孙立勋
吉林化工学院 信息与控制工程学院,吉林 吉林132022
PID parameter tuning based on improved artificial bee colony optimization algorithm
DONG Ruyi,SUN Lixun
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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。

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董如意
孙立勋
关键词:  人工蜂群算法  PID  参数整定  MATALB     
Abstract: 

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.

Key words:  artificial bee colony algorithm    PID    parameter tuning    MATLAB
               出版日期:  2022-05-25      发布日期:  2022-05-25      整期出版日期:  2022-05-25
ZTFLH:  TP 27  
引用本文:    
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.
链接本文:  
http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2022.05.015  或          http://xuebao.jlict.edu.cn/CN/Y2022/V39/I5/73
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