摘要
为提高分数阶比例—积分—微分(PID)参数选择的准确度,提出一种基于莱维麻雀搜索算法(Levy-SSA)的分数阶PID参数整定方法。针对原始麻雀搜索算法(SSA)随迭代进行过程中搜索范围逐渐减小而导致迭代收敛速度慢以及易早熟的问题,本文提出一种利用全局最优解对原始发现者粒子更新方式进行改进的方法。为减小算法陷入局部解的概率,本文利用Levy随机步长特性对预警者粒子更新方式进行了改进。最后,对基于Levy-SSA的分数阶PID控制方法进行了实验验证,通过对比,验证了所提方法的有效性与优越性。
In order to improve the accuracy of fractional PID parameter selection,a fractional PID parameter tuning method based on Levy-sparrow search algorithm(Levy-SSA)is proposesd.Aiming at the problem that the search range of the original sparrow search algorithm(SSA)gradually decreases during the iteration process,which leads to the slow convergence speed and premature convergence.Propose a method to update the original discoverer particles using the global optimal solution.In order to reduce the probability of the algorithm falling into a local solution,use the Levy random step size feature to update the early warning particles.Finally,the experimental verification of the fractional PID control method based on Levy-SSA is carried out,and the effectiveness and superiority of the proposed method are verified by comparison and verification.
作者
李雅梅
张恒
LI Yamei;ZHANG Heng(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China)
出处
《传感器与微系统》
CSCD
北大核心
2022年第8期68-70,75,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(51307076)
辽宁省教育厅基金资助项目(LJ2019JL013)。
