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作 者:张汉年[1] 张涛 ZHANG Hannian;ZHANG Tao(School of Electronic Information,Nanjing Vocational College of Information Technology,Nanjing 210023,Jiangsu,China;Faculty of Automation,Huaiyin Institute of Technology,Huai’an 223003,Jiangsu,China)
机构地区:[1]南京信息职业技术学院电子信息学院,江苏南京210023 [2]淮阴工学院自动化学院,江苏淮安223003
出 处:《电气传动》2021年第6期11-18,共8页Electric Drive
基 金:江苏省高校“青蓝工程”资助项目(2019-3);江苏省自然科学基金项目(BK20181481);江苏省“333工程”科研资助项目(BRA2020348)。
摘 要:无轴承永磁同步电机实现平稳悬浮的关键是对转子径向位置偏移量进行闭环控制。通常无轴承永磁同步电机高性能悬浮运行时都依赖于位移传感器,但由此破坏了电机结构的坚固性、阻碍了电机的低成本实用化等,需要新的位移估算策略替代传统的机械位移传感器。通过建立无轴承永磁同步电机悬浮、转矩两套绕组的磁链、电压和电流状态方程,构建最小二乘法电机转子位移估算模型,进一步提出基于普通最小二乘法和遗忘因子最小二乘法的混合加权最小二乘法估算策略。通过采样电机两套绕组电压和电流,应用混合加权最小二乘算法对转子位移进行在线辨识。仿真及实验证实该方法能实现无传感器工况下电机转子位移的有效估算,电机悬浮和转动系统性能较好。The key of stable suspension of bearingless permanent magnet synchronous motor is the closed-loop control of rotor radial position displacement.Usually,the high performance suspension operation of the motor relies on displacement sensor,which destroys the robustness of the motor structure and hinders the low-cost practicability of the motor.Therefore,a new displacement estimation strategy is needed to replace the traditional mechanical displacement sensor.By establishing the state equations of flux linkage,voltage and current of suspension and torque windings of the motor,the rotor displacement estimation model based on least square method was constructed,and a hybrid weighted least square method based on the common least square method and the forgetting factor least square method was proposed.By sampling the voltage and current of two sets of windings,the hybrid weighted least square algorithm was used to identify the rotor displacement online.Simulation and experimental results validate that this method can achieve effective estimation of the motor rotor displacement under sensorless condition,the motor suspension and rotation system has good performance.
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