基于电感特性的磁阻式球形电机无传感器位置检测  

Sensorless position detection of reluctance spherical motors based on inductive characteristics

作　　者：嘉奖 王群京[1,2,3] 鞠鲁峰 许家紫 JIA Jiang;WANG Qunjing;JU Lufeng;XU Jiazi(School of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;National Engineering Laboratory of Energy-Saving Motor&Control Technology,Anhui University,Hefei 230601,China;Anhui Key Laboratory of Power Quality,Ministry of Education,Anhui University,Hefei 230601,China;Anhui Collaborative innovation Center of Industrial Energy-Saving and Power Quality Control,Anhui University,Hefei 230601,China)

机构地区：[1]安徽大学电气工程与自动化学院,安徽合肥230601 [2]高节能电机及其控制技术国家地方联合实验室安徽大学,安徽合肥230601 [3]工业节电与用电安全安徽省重点实验室安徽大学,安徽合肥230601 [4]工业节电与电能质量控制安徽省级协同创新中心安徽大学,安徽合肥230601

出　　处：《传感器与微系统》2024年第1期162-164,168,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金重点资助项目(51637001);安徽省自然科学基金面上资助项目(1908085ME168)。

摘　　要：球形电机的转子姿态检测通常需要在转子轴或定子壳上安装位置传感器来实现,这些传感器所占用的空间较大,为球形电机的实际安装和应用造成了负面影响。本文根据磁阻式球形电机的结构与运行特点,提出了一种基于电感特性的磁阻式球形电机无传感器位置检测方法。通过实时检测不同转子姿态角度下的定子线圈电感数据,然后利用极限学习机(ELM)算法搭建位置预测模型。通过对比验证,证明了该方法得到的转子姿态角度精度较高,为磁阻式球形电机的控制与应用提供了可行的思路。To achieve rotor attitude detection of spherical motors usually requires the installation of position sensors on the rotor shaft or stator housing,these sensors occupy a large space and cause negative effects for the practical installation and application of spherical motors.A sensorless position detection method for reluctance spherical motors based on the structure and operating characteristics of reluctance spherical motors is proposed.The stator coil inductance data at different rotor attitude angles is detected in real-time,and then,the position prediction model is built using an extreme learning machine(ELM)algorithm.Through comparative validation,it is demonstrated that the rotor attitude angle obtained by this method has highly precision and provides a feasible idea for the control and application of reluctance spherical motors.

关 键 词：球形电机 三自由度 极限学习机 无传感器位置检测 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TM341[自动化与计算机技术—控制科学与工程]