Torque Calculation Error Compensation for Reluctance Spherical Motor Based on Extreme Learning Machine
ID：110
Submission ID：6 View Protection：ATTENDEE
Updated Time：2024-10-23 10:00:24 Hits：19
Poster Presentation
Start Time：Pending （Asia/Shanghai）
Duration：Pending
Session：[No Session] » [No Session Block]
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Abstract
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.
Keywords
Reluctance spherical motor, torque calculation, error compensation, extreme learning machine
Speaker
ShiMingfeng
Huaiyin Institute of TechnologySubmission Author
All comments
15th August 2024 31st August 2024- Manuscript Submission
15th September 2024 - Acceptance Notification
1st October 2024 - Camera Ready Submission
1st October 2024 – Early Bird Registration
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