报告详情
Enhancement of Low Speed Performance in Sensorless Model Predictive Control for Induction Motors
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更新：2025-04-21 14:00:05 浏览：139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
For sensorless control systems of induction motors based on model predictive control, the motor model-based sensorless control methods suffer from low-speed regeneration instability issues, which significantly limit the low-speed operational performance of sensorless systems. To address this problem, this paper proposes an adaptive law -modified full-order observer-based model predictive control method for induction motors. First, the root cause of low-speed regeneration instability is investigated through analysis of the transfer function characteristics of the full-order observer. Second, an improved adaptive law is developed by incorporating excitation current error into the conventional speed adaptation mechanism. Finally, design of the adaptive law correction coefficients, enhanced low-speed operational characteristics are achieved. The proposed method's effectiveness in achieving stable speed estimation within the low-speed regeneration region is verified through analysis of the system and simulation.
关键词
induction motor,sensorless control,model predictive control,full-order obverser,low -speed stability
报告人
Baojia Ma
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07月31日
2025
-
05月30日 2025
初稿截稿日期
-
06月08日 2025
注册截止日期
主办单位
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
承办单位
Southeast University
联系方式
- Quanwei Wu
- pr******@pub.seu.edu.cn
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