关键词: 感应电机, 效率优化, 模型预测控制, 模型参考自适应, 损耗模型控制, 连续控制集

Abstract: An efficiency optimization predictive control strategy for induction motors based on the loss model control method was proposed, addressing the challenges of poor robustness and subpar dynamic performance in traditional efficiency optimization algorithms under complex operational conditions. A comprehensive motor power loss model was developed, induding iron loss, copper loss, and leakage inductance factors to enhance the accuracy of the loss model. A model reference adaptive observer was employed to estimate the stator resistance within the loss model, utilizing the current model as the reference and the voltage model as the adjustable model. Leveraging the motor' s iron loss model, a continuous control set model predictive current controller was constructed to enhance the system ' s dynamic performance. The experimental results validate the feasibility and effectiveness of the proposed algorithm.

Key words: induction motor( IM), efficiency optimization, model predictive control( MPC), model reference adaptive system( MRAS), loss model control( LMC), continuous control set( CCS)