CUI Hong-wei1,2, TENG Qing-fang1,2, ZHU Jian-guo3, GUO You-guang3
（1. Department of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China；2. Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University), Ministry of Education, Lanzhou 730070, China；3. Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney 2007, Australia）
Abstract： A novel double extended state observer (DESO) based on model predictive torque control (MPTC) strategy is developed for three-phase permanent magnet synchronous motor (PMSM) drive system without current sensor. In general, to achieve high-precision control, two-phase current sensors are necessary for successful implementation of MPTC. For this purpose, two ESOs are used to estimate q-axis current and stator resistance respectively, and then based on this, d-axis current is estimated. Moreover, to reduce torque and flux ripple and to improve the performance of the torque and speed, MPTC strategy is designed. The simulation results validate the feasibility and effectiveness of the proposed scheme.
Key words： double extended state observer (DESO); model predictive torque control (MPTC); permanent magnet synchronous motor (PMSM) drive system; without current sensor
CLD number： TM351 Document code： A
Article ID： 1674-8042（2018）04-0380-08 doi： 10.3969/j.issn.1674-8042.2018.04.012
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基于双ESO的永磁同步电机模型预测控制仿真研究
崔宏伟1,2， 滕青芳1，2， 朱建国3， 郭有光3
（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；3. 悉尼科技大学 工程与信息技术学院， 悉尼 2007）
摘 要: 针对无任何相电流传感器的三相永磁同步电机（PMSM）驱动系统， 提出了基于双扩张状态观测器（ESO）无电流传感器的模型预测转矩控制（MPTC）策略。 为了进行电流反馈以实现高精度控制， 使用了两个相电流传感器， 采用两个ESO分别估计出q轴电流和定子电阻， 在此基础上， 估计出d轴电流； 为了减小转矩和磁链脉动， 提高转矩和转速的控制性能， 提出了系统MPTC 设计方法。 仿真结果验证了所提方法的正确性和可行性。
关键词: 扩张状态观测器； 模型预测转矩控制； PMSM驱动系统； 无电流传感器
引用格式： CUI Hong-wei, TENG Qing-fang, ZHU Jian-guo, et al. Simulation on model predictive control for PMSM drive system based on double extended state observer. Journal of Measurement Science and Instrumentation, 2018, 9(4)： 380-387. ［doi： 10.3969／j.issn.1674-8042.2018.04.012］
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