1. College of Electronics and Information Jiangsu University of Science and Technology Zhenjiang 212000 China; 2. State Grid Shandong Electric Power Company Ji’nan 255001 China; 3. College of Mechatronic Engineering and Automation Shanghai University Shanghai 200072 China
Abstract:Since traditional sliding mode observer has inherent chattering problem, a discrete variable gain super-twisting sliding mode observer for permanent magnet synchronous motor is proposed. Firstly, the variable gain of the observer is dynamically adjusted with the motor speed and the internal state of system, so that the sliding mode chattering suppression in a wide range of variable speed conditions is achieved. Secondly, a first-order low-pass filter is designed to improve the robustness in the transient process of the sliding mode control system, and the convergence of sliding mode trajectory in finite time is proved based on reduction to absurdity. Finally, a new vector control strategy is proposed to fully decouple the d、q axis of current loop. Based on hybrid orientation, the effective back EMF component of α、β axis is extracted from the observer output, and combine with the back EMF transformation matrix, feedforward compensation in the current loop is realized. Experimental results verify the effectiveness and practicability of the control strategy proposed in this paper.
[1] 陆婋泉, 林鹤云, 韩俊林. 永磁同步电机的扰动观测器无位置传感器控制[J]. 中国电机工程学报, 2016, 36(5): 1387-1394. Lu Xiaoquan, Lin Heyun, Han Junlin.Position sensorless control of permanent magnet synchronous machine using a disturbance observer[J]. Proceedings of the CSEE, 2016, 36(5): 1387-1394. [2] 陆婋泉, 林鹤云, 冯奕, 等. 永磁同步电机无传感器控制的软开关滑模观测器[J]. 电工技术学报, 2015, 30(2): 106-113. Lu Xiaoquan, Lin Heyun, Feng Yi, et al.Soft switching sliding mode observer for PMSM sensorless control[J]. Transactions of China Electrotechnical Society, 2015, 30(2): 106-113. [3] Zhao Yue, Qiao Wei, Wu Long.An adaptive quasi-sliding-mode rotor position observer-based sensorless control for interior permanent magnet synchronous machines[J]. IEEE Transactions on Power Electronics, 2013, 28(12): 5618-5629. [4] 尚喆, 赵荣祥, 窦汝振. 基于自适应滑模观测器的永磁同步电机无位置传感器控制研究[J]. 中国电机工程学报, 2007, 27(3): 23-27. Shang Zhe, Zhao Rongxiang, Dou Ruzhen.Research on sensorless control method of PMSM based on an adaptive sliding mode server[J]. Proceedings of the CSEE, 2007, 27(3): 23-27. [5] 程辉, 杨克立, 王克军. PMSG风力发电系统转速估计算法的研究[J]. 电力系统保护与控制, 2016, 44(5): 24-29. Chen Hui, Yang Keli, Wang Kejun.Study on a rotor speed estimation algorithm of PMSG wind power system[J]. Power System Protection and Control, 2016, 44(5): 24-29. [6] 佘致廷, 邹薇, 董旺华, 等. 扩展卡尔曼滤波结合前馈补偿永磁同步电机位置估计[J]. 控制理论与应用, 2016, 33(10): 1312-1318. She Zhiting, Zou Wei, Dong Wanghua, et al.Extended Kalman filters combined with feed-forward compensation for permanent magnet synchronous moter position estimation[J]. Control Theory & Applications, 2016, 33(10): 1312-1318. [7] 张洪帅, 王平, 韩邦成. 基于模糊PI模型参考自适应的高速永磁同步电机转子位置检测[J]. 中国电机工程学报, 2014, 34(12): 1889-1896. Zhang Hongshuai, Wang Ping, Han Bangcheng.Rotor position measurement for high-speed permanent magnet synchronous motors based on fuzzy PI MRAS[J]. Proceedings of the CSEE, 2014, 34(12): 1889-1896. [8] 胡维昊, 王跃, 李明烜, 等. 基于MRAS的多相永磁直驱型风力发电系统无速度传感器控制策略研究[J]. 电力系统保护与控制, 2014, 42(23): 118-124. Hu Weihao, Wang Yue, Li Mingxuan, et al.Research on sensorless control strategy of direct drive multi-phase PMSG wind power generation system based on MRAS[J]. Power System Protection and Control, 2014, 42(23): 118-124. [9] 孔龙涛, 程明, 张邦富. 基于模型参考自适应系统的模块化磁通切换永磁直线电机无位置传感器控制[J]. 电工技术学报, 2016, 31(17): 132-139. Kong Longtao, Cheng Ming, Zhang Bangfu.Position sensorless control of modular linear flux-switching permanent magnet machine based on model reference adaptive system[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 132-139. [10] 林茂, 李颖晖, 吴辰, 等. 基于滑模模型参考自适应系统观测器的永磁同步电机预测控制[J]. 电工技术学报, 2017, 32(6): 156-163. Lin Mao, Li Yinghui, Wu Chen, et al.A model reference adaptive system based sliding mode observer for model predictive controlled permanent magnet synchronous motor drive[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 156-163. [11] 朱军, 田淼, 付融冰, 等. 基于载波频率成分的永磁同步电机转子定位研究[J]. 电力系统保护与控制, 2015, 43(14): 48-54. Zhu Jun, Tian Miao, Fu Rongbing, et al.Research on rotor position of permanent magnet synchronous motor based on carrier frequency component[J]. Power System Protection and Control, 2015, 43(14): 48-54. [12] 陈思溢, 皮佑国. 基于滑模观测器与滑模控制器的永磁同步电机无位置传感器控制[J]. 电工技术学报, 2016, 31(12): 108-117. Chen Siyi, Pi Youguo.Position sensorless control for permanent magnet synchronous motor based on sliding mode observer and sliding mode controller[J]. Transactions of China Electrotechnical Society, 2016, 31(12): 108-117. [13] 苏健勇, 李铁才, 杨贵杰. 基于四阶混合滑模观测器的永磁同步电机无位置传感器控制[J]. 中国电机工程学报, 2009, 29(24): 98-103. Su Jianyong, Li Tiecai, Yang Guijie.PMSM sensorless control based on four-order hybrid sliding mode observer[J]. Proceedings of the CSEE, 2009, 29(24): 98-103. [14] 张碧陶, 皮佑国. 基于分数阶滑模控制技术的永磁同步电机控制[J]. 控制理论与应用, 2012, 29(9): 1193-1197. Zhang Bitao, Pi Youguo.Fractional order sliding-mode control for permanent magnet synchronous motor[J]. Control Theory & Applications, 2012, 29(9): 1193-1197. [15] Kim H, Son J, Lee J.A high-speed sliding-mode observer for the sensorless speed control of a PMSM[J]. IEEE Transactions on Industrial Electronics, 2011, 58(9): 4069-4077. [16] Diao S, Diallo D, Makni Z, et al.A differential algebraic estimator for sensorless permanent-magnet synchronous machine drive[J]. IEEE Transactions on Energy Conversion, 2015, 30(1): 82-89. [17] Bolognani S, Calligaro S, Petrella R.Design issues and estimation errors analysis of back-EMF-based position and speed observer for SPM synchronous motors[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014, 2(2): 159-170. [18] Zhang Guoqiang, Wang Gaolin, Xu Dianguo, et al.Adaline-network-based PLL for position sensorless interior permanent magnet synchronous motor drives[J]. IEEE Transactions on Power Electronics, 2016, 31(2): 1450-1460. [19] Wang Gaolin, Li Tielian, Zhang Guoqiang, et al.Position estimation error reduction using recursive-least-square adaptive filter for model-based sensorless interior permanent-magnet synchronous motor drives[J]. IEEE Transactions on Industrial Electronics, 2014, 61(9): 5115-5125.