基于改进蝴蝶算法的核主泵永磁同步电机自抗扰调速控制  

ARDC Speed Regulation Strategy of Nuclear Main Pump Permanent Magnet Synchronous Motor Based on Improved Butterfly Optimization Algorithm

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作  者:宋慧[1] 原鹏 张延军[2] SONG Hui;YUAN Peng;ZHANG Yan-jun(Department of Mechanical and Electrical Engineering,Linfen Vocational and Technical College,Linfen 041000,China;School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030027,China)

机构地区:[1]临汾职业技术学院机电系,临汾041000 [2]太原科技大学机械工程学院,太原030027

出  处:《核电子学与探测技术》2023年第2期221-228,共8页Nuclear Electronics & Detection Technology

基  金:山西省重点研发项目(201903D121041)。

摘  要:为提高核主泵永磁同步电机(PMSM)调速控制的精度,在分析PMSM数学模型和建立PMSM自抗扰控制器模型的基础上,提出一种基于改进蝴蝶算法(IBOA)的PMSM自抗扰控制(ADRC)策略。首先,针对蝴蝶算法(BOA)后期收敛精度不高、易陷入局部最优等不足,引入转换概率动态调整策略和随机惯性权重策略来对BOA进行改进,得到IBOA算法。其次,采用IBOA算法对PMSM自抗扰控制器参数进行整定,选取出合理的PMSM自抗扰控制器参数。最后,将优化后的PMSM自抗扰控制器用于调速控制,并进行对比实验。结果表明,本文所提控制策略的响应速度更快,控制精度更高,抗干扰能力更强。In order to improve the precision of nuclear main pump PMSM speed control,based on the analysis of PMSM mathematical model and the establishment of PMSM active disturbance rejection controller model,a PMSM active disturbance rejection control strategy based on the improved butterfly optimization algorithm(IBOA)was proposed.Firstly,aiming at the poor convergence accuracy and the tendency of falling into local optimum in the later stage of butterfly optimization algorithm(BOA),the IBOA algorithm is improved by introducing the transformation probability dynamic adjustment strategy and the random inertia weight strategy.Secondly,IBOA algorithm is used to adjust the parameters of PMSM active disturbance rejection controller,and the reasonable parameters of PMSM active disturbance rejection control are selected.Finally,the optimized PMSM active disturbance rejection controller is used for speed regulation,and a comparative experiment is conducted.The results show that the proposed control strategy has faster response speed,higher control precision and stronger anti-interference ability.

关 键 词:永磁同步电机 蝴蝶算法 调速控制 自抗扰控制 

分 类 号:TM28[一般工业技术—材料科学与工程]

 

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