摘要详情

ID / 提交时间

103 / 2025-02-22 18:43:30

标题

Enhancement of Low Speed Performance in Sensorless Model Predictive Control for Induction Motors

关键字

induction motor,sensorless control,model predictive control,full-order obverser,low -speed stability

主题及专题

Review group 3

状态

全文录用

作者

Yanqing Zhang / Xi'an University of technology

Baojia Ma / Xi'an University of Technology

Zhonggang Yin / Xi'an University of Technology

Dongsheng Yuan / Xi'an University of Technology

Fengtao Gao / Xi'an University of Technology

Yuchen Wang / Xi’an University of Technology

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.