摘要
针对永磁辅助无轴承同步磁阻电动机(PMA-BSRM)在高速运行时转子不平衡质量导致的振动问题,提出了一种基于变步长变角度搜索算法的控制策略。探讨了转子振动的成因并利用改进的Sigmoid函数和模糊推理机调整函数权重,通过调整搜索算法的步长和角度构建了一个闭环振动抑制控制器,能够生成补偿电流以抵消不平衡振动信号,从而控制PMA-BSRM转子的不平衡振动。搭建了PMA-BSRM试验平台并在恒速工况下进行了振动抑制试验,结果表明,所提出的控制算法能减少75%的转子振动以及30%~60%的不平衡振动力,确保PMA-BSRM的稳定悬浮。
To address the vibration issue caused by rotor unbalance mass in permanent magnet assisted bearingless synchronous reluctance motor(PMA-BSRM)during high-speed operation,a control strategy is proposed based on a variable step-size and variable angle search algorithm.The causes of rotor vibration are discussed.An improved Sigmoid function and a fuzzy inference engine are employed to adjust the function weights.By adjusting the step size and angle of search algorithm,a closed-loop vibration suppression controller is constructed,which generates compensating currents to counteract the unbalance vibration signals,thereby controlling the rotor unbalance vibration in PMA-BSRM.An experimental platform for PMA-BSRM is established,and vibration suppression tests are conducted under constant-speed conditions.The results demonstrate that the proposed control algorithm reduces rotor vibration by 75%and unbalance vibration force by 30%~60%,ensuring stable levitation of PMA-BSRM.
作者
赵腾飞
朱熀秋
杨泽斌
ZHAO Tengfei;ZHU Huangqiu;YANG Zebin(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)
出处
《轴承》
北大核心
2025年第8期120-126,共7页
Bearing
基金
国家自然科学基金资助项目(61973144)。
关键词
磁力轴承
磁阻电动机
振动抑制
搜索算法
模糊推理
magnetic bearing
reluctance motor
vibration suppression
search algorithm
fuzzy inference
