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基于改进人工水母搜索算法的电液伺服系统控制研究
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吉林省科技发展计划重点研发项目(20210203109SF;20200403133SF);省级大学生创新项目(202110201091)


Research on Electro-Hydraulic Servo System Control Based on Improved Artificial Jellyfish Search Algorithm
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    摘要:

    电液伺服系统是工业制造领域不可或缺的一部分,它是一个复杂的时变非线性系统,常规PID在实际工业控制中存在参数调节难度大、效率低等问题,很难达到理想的控制结果。针对以上问题,提出一种改进人工水母搜索算法来优化PID控制器参数的方法,将蝴蝶算法中随机移动概念引入到人工水母算法中,并将其和PSO算法、标准人工水母搜索算法进行对比分析,利用MATLAB 软件搭建PID控制模型。仿真结果表明:运用改进人工水母搜索算法能高效、精确、快速地寻优出PID控制器的最佳参数,并展现出了鲁棒性好、调节时间少、运行相对稳定等优点,系统的控制性能得到了显著提升。

    Abstract:

    The electro-hydraulic servo system is an indispensable part in the field of industrial manufacturing,it is a complex time-varying nonlinear system.Conventional PID has the problems of difficult parameter adjustment and low efficiency in practical industrial control,so it is difficult to achieve ideal control results.In view of the above problems,a method of improving the artificial jellyfish search algorithm to optimize the parameters of PID controller was proposed.The concept of random movement in butterfly algorithm was introduced into the artificial jellyfish algorithm,which was compared with PSO algorithm and standard artificial jellyfish search algorithm,and the PID control model was established by using MATLAB software.The simulation results show that the improved artificial jellyfish search algorithm can efficiently,accurately and quickly optimize the parameters of PID controller,and it shows the advantages of good robustness,less adjustment time and relatively stable operation,the control performance of the system is significantly improved.

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付荣赫,秦泰,张奇,邢吉生.基于改进人工水母搜索算法的电液伺服系统控制研究[J].机床与液压,2023,51(13):34-38.
FU Ronghe, QIN Tai, ZHANG Qi, XING Jisheng. Research on Electro-Hydraulic Servo System Control Based on Improved Artificial Jellyfish Search Algorithm[J]. Machine Tool & Hydraulics,2023,51(13):34-38

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  • 在线发布日期: 2023-07-27
  • 出版日期: 2023-07-15