报告详情
MTPA-Based Sequential Model Predictive Control of Induction Motors
编号：119
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更新：2025-05-06 15:16:24 浏览：7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
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摘要
Abstract—Recently, sequential model predictive control (SMPC) has been proposed, eliminating the necessity of weighting factors by exploiting the hierarchical structure of cost functions. In conventional SMPC, to meet all load conditions, flux reference is set to the nominal value of the induction motor, leading to suboptimal operation. This paper incorporates Maximum Torque Per Ampere (MTPA) principles with SMPC to generate a proper flux reference. By doing so, the stator current amplitude and consequently the losses are reduced in light load conditions. Moreover, the number of voltage vectors (VVs) selected by the first cost function varies between two and three according to the load condition. Finally, the simulation results demonstrate the effectiveness of the proposed method in stator current amplitude and loss reduction.
关键词
Sequential MPC,MODEL PREDICTIVE CONTROL,Model Predictive Torque Control (MPTC),MTPA,Induction motor
报告人
Jose Rodriguez
Professor Universidad San Sebastian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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