摘要详情

ID / 提交时间

59 / 2025-01-30 22:46:58

标题

MTPA-Based Sequential Model Predictive Control of Induction Motors

关键字

Sequential MPC,MODEL PREDICTIVE CONTROL,Model Predictive Torque Control (MPTC),MTPA,Induction motor

主题及专题

Review group 1

状态

全文录用

作者

Ali Haddadi / Iran University of Science and Technology

Mahdi Bahmani / Iran University of Science and Technology

Davood Arab Khaburi / Iran University of Science and Technology

Cristian Garcia / Universidad de Talca

Jose Rodriguez / Universidad San Sebastian

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.