基于改进天牛须搜索算法的自抗扰永磁同步电机控制  

The active disturbance rejection control for permanent magnet synchronous motor based on improved beetle antennae search

作　　者：刘亚奇 Liu Yaqi(School of Mechanical and Electrical Engineering,Henan University of Technology,Henan Zhengzhou,450001,China)

机构地区：[1]河南工业大学机电工程学院,河南郑州450001

出　　处：《机械设计与制造工程》2023年第11期21-26,共6页Machine Design and Manufacturing Engineering

摘　　要：针对自抗扰控制器参数多、整定困难的问题,基于改进天牛须搜索算法设计了一种在线自整定参数的自抗扰控制器。针对天牛须搜索算法当前迭代的最优候选解,认为是正、伪两种状态的量子位线性叠加,可用实数编码的量子重新表示,然后利用量子旋转门更新量子表达式。以永磁同步电机作为被控对象进行仿真验证,结果表明基于混合算法的自抗扰控制器有着更好的控制精度和抗扰动性能。Aiming at the many parameters and difficult tuning of the ADRC,an ADRC with online self-tuning parameters is designed based on the improved beetle whisker search algorithm.Aiming at the optimal candidate solution of the current iteration of the beetle's search algorithm,it is considered to be a linear superposition of qubits in positive and false states,which can be re-expressed with real-coded quanta,and then the quantum expression is updated by using the quantum revolving gate.The permanent magnet synchronous motor is used as the controlled object for simulation verification,and the results show that the ADRC based on the hybrid algorithm has better control accuracy and anti-disturbance performance.

关 键 词：量子进化算法 自抗扰控制器 天牛须搜索算法 永磁同步电机 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]