报告详情
A Sensorless Model Predictive Control for Induction Motor Based on Ultra-local Model
编号：92
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更新：2025-05-06 15:10:30 浏览：5次
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报告开始：暂无开始时间（Asia/Shanghai）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
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摘要
In this paper, a sensorless model predictive control for induction motor using ultra-local model is studied. Firstly, the speed, stator flux, and stator resistance are estimated online using a sliding mode observer (SMO). Secondly, in sensorless model predictive control, due to the sensitivity of traditional predictive models to changes in motor parameters and the existence of errors between estimated and actual speeds, the accuracy of the predictive model will be reduced. In response to the above issues, this paper optimizes the prediction model. For the flux linkage prediction model, a correction term is introduced and the stator resistance in the flux linkage prediction model is updated in real-time through a sliding mode observer. For the current prediction model, an Ultra-local model is introduced instead of the traditional current prediction model, which does not consider any motor parameters. Therefore, this method has better robustness performance. Finally, the method was validated through simulation.
关键词
Model predictive control (MPC),sensorless control,sliding mode observer,ultra-local model
报告人
Yuchen Wang
Master's Student Xi'an University of Technology稿件作者
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重要日期
-
会议日期
06月05日
2025
至06月08日
2025
-
04月30日 2025
初稿截稿日期
主办单位
IEEE PELS
IEEE
IEEE
承办单位
Southeast University
联系方式
- Quanwei Wu
- pr******@pub.seu.edu.cn
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