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作 者:孟祥伟 Meng Xiangwei(School of Electromechanical Engineering,Hebi Institute of Vocational Technology,Hebi Henan 458030,China)
机构地区:[1]鹤壁职业技术学院机电工程学院,河南鹤壁458030
出 处:《机械管理开发》2024年第8期50-51,58,共3页Mechanical Management and Development
摘 要:为了进一步提高永磁同步电机三环(位置环、速度环和电流环)遗传控制精度,选择遗传算法来整定主轴参数。建立永磁同步电机三环遗传控制流程,并根据模糊PID对参数实施整定。在辨识参数对变增益PI控制的基础上,通过设置惯性权重系数来实现收敛速度。从直线信号方面开展进给测试,促进了跟随性能的显著提升。研究结果表明:相对人工经验方法,三环遗传控制方法的绝对误差极值和绝对误差积分降低了30%左右,对跟随误差达到了更优跟随性能,提升了跟随性能。该研究有助于提高永磁同步电机控制精度,也可拓宽到其他类型的电机控制领域。In order to further improve the genetic control accuracy of the three loops(position,speed and current)of the permanent magnet synchronous motor,a genetic algorithm is chosen to adjust the spindle parameters.The three-loop genetic control process of permanent magnet synchronous motor is established,and the parameters are rectified according to fuzzy PID.On the basis of identifying the parameters to the variable gain PI control,the convergence speed is achieved by setting the inertia weight coefficients.Feed tests are carried out in terms of linear signals,which promotes a significant improvement in the following performance.The results of the study show that relative to the artificial empirical method,the absolute error extremes and absolute error integrals of the three-loop genetic control method are reduced by about 30%,and a better following performance is achieved for the following error,which improves the following performance.This study helps to improve the control accuracy of permanent magnet synchronous motor and can also be broadened to other types of motor control fields.
分 类 号:TP27[自动化与计算机技术—检测技术与自动化装置]
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