报告详情
Torque Calculation Error Compensation for Reluctance Spherical Motor Based on Extreme Learning Machine
编号：110
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更新：2024-10-23 10:00:24 浏览：122次
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报告时间：暂无持续时间
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摘要
To reduce the torque calculation error caused by the analytical model of reluctance spherical motor (RSM), this paper proposes a novel calculation error compensation method. Firstly, the calculation error between the calculated torque obtained by analytical method and the simulated torque is analyzed. Then, extreme learning machine(ELM) is adopted to compensate the torque calculation error according to the error characteristics. The simulation results show that this error compensation method has high compensation accuracy, strong stability and good real-time performance.
关键词
Reluctance spherical motor, torque calculation, error compensation, extreme learning machine
报告人
ShiMingfeng
Huaiyin Institute of Technology稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
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