MIAO Zhongcui1,2, LI Dongliang1, WANG Zhihao1, YU Xianfei1, ZHANG Wenbin1
（1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070， China；2. Key Laboratory of Opto-Technology and Intelligent Control of Ministry of Education，Lanzhou Jiaotong University， Lanzhou 730070， China）
Abstract： Considering the actual demand for high-speed operation of induction motors in industrial occasions, the characteristics of induction motors in different regions are analyzed, especially the field weakening characteristics of induction motors in high-speed operation are studied. A field weakening control method of induction motor based on model predictive control (MPC) algorithm is proposed, which can predict the future state of the controlled object, and then obtain the optimal control variables by colling optimization. The simulation results show that the field-weakening control method based on MPC algorithm has faster response speed, stronger robustness and better control performance than the traditional control methods.
Key words： induction motor; model predictive control (MPC); field-weakening control; rolling optimization
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基于模型预测的感应电机弱磁控制研究
缪仲翠1,2， 李东亮1， 王志浩1， 余现飞1， 张文宾1
（1.兰州交通大学 自动化与电气工程学院， 甘肃 兰州 730070； 2. 兰州交通大学 光电技术与智能控制教育部重点实验室， 甘肃 兰州 730070）
摘要： 考虑工业场合对感应电机高速运行的实际需求， 分析了感应电机在不同区域运行时的特点， 特别对电机高速运行时的弱磁特性进行了研究， 提出了一种基于模型预测算法的感应电机弱磁控制方法。 首先预测被控对象未来的状态， 再由滚动优化求出最优控制变量。 仿真结果表明， 基于模型预测算法的弱磁控制方法有更快的响应速度和较强的鲁棒性。
关键词： 感应电机； 模型预测控制； 弱磁控制； 滚动优化
引用格式：MIAO Zhongcui, LI Dongliang, WANG Zhihao, et al. Field-weakening control system of induction motor based on model prediction. Journal of Measurement Science and Instrumentation, 2021, 12（3）： 314-321. DOI： 10．3969／j．issn．1674-8042．2021．03．009
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