|
|
Sliding Mode Control of IPMSM Speed Regulation System Based on An Improved Double Power Reaching Law and Global Fast Terminal Sliding Mode Observer |
Guo Xin1, Huang Shoudao1, Peng Yu1, Yang Junyou2, Wang Haixin2 |
1. College of Electrical and Information Engineering Hunan University Changsha 410082 China; 2. School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China |
|
|
Abstract Interior permanent magnet synchronous motors (IPMSM) are widely used in aerospace, servo systems, electric vehicles, wind power and other fields because of their high efficiency, high power density, and wide speed range. However, IPMSM has the characteristics of nonlinearity, strong coupling, and variable parameters. It is difficult to obtain fast response speed and strong robustness of the system only by using linear control methods such as PI control algorithm. Sliding mode control is widely used in IPMSM speed control system due to its advantages of strong robustness and fast dynamic response. The frequent switching of switches leads to the control discontinuity, which will bring inevitable chattering to the control system. In addition, a larger load disturbance requires a higher switching gain to ensure the robustness of the system, which will aggravate the chattering of the control system. To address these problems, a sliding mode control for IPMSM speed regulation system based on an improved double power reaching law (IDPRL) and a global fast terminal sliding mode observer (GFTSMO) is proposed. The structure of this paper is as follows. Firstly, the existing problems of sliding mode reaching law, i.e., exponential reaching law (ERL) and exponential reaching law based on state variables (SVERL) are analyzed. Secondly, the IDPRL based on state variables is proposed. According to the theoretical derivation and analysis, it is shown that the proposed control method has the following characteristics: ①the system can converge to the sliding mode surface in a short time, and the convergence time of the proposed reaching law is not affected by the initial value; ② the proposed reaching law simultaneously has fast response ability, chattering suppression ability and better anti-interference performance. Thirdly, the IPMSM speed control system based on IDPRL and GFTSMO is designed, and its stability is proved theoretically. Fourthly, the simulation and experimental comparisons are conducted to verify the effectiveness of the proposed method. Finally, the conclusion is presented. The simulation results show that, under the case of the system reference speed of 1 000r/min and no load, the speed response time of the proposed IDPRL+GFTSMO method is 80.74%, 85.51% and 90.9% of ERL, SVERL, IDPRL, respectively. The steady-state errors of IDPRL+GFTSMO are 32.56%, 38.89% and 51.22% of ERL, SVERL and IDPRL, respectively. Under the case of the system reference speed of 1000r/min and the load of 6N•m, the speed drop of the proposed IDPRL+GFTSMO method after loading is 21.54%, 24.1%, 68.9% and 90.77% of ERL, SVERL, IDPRL, IDPRL+SMO. Under the load torque of 6N·m, the torque ripple of ERL is the largest, the ripple range is 5.33~6.6N•m, and the torque ripple is 21.2%. The pulsation range of SVERL is 5.35~6.6N•m, the torque pulsation is 20.8%. The pulsation range of IDPRL is 5.38~6.46N•m, and the torque pulsation is 18%. The ripple range of IDPRL+SMO is 5.55~6.5N•m, and the torque ripple is 15.8%. For IDPRL+GFTSMO, the ripple range is the smallest (5.6~6.36N•m), and the torque ripple is 12.7%. The experimental results show that, under the case of the system reference speed of 300r/min and no-load startup, the speed response times of IDPRL+GFTSMO, IDPRL, SVERL and ERL are 2.25s, 2.79s, 3.11s and 3.55s, respectively. The steady-state speed fluctuations of ERL, SVERL, IDPRL and IDPRL+GFTSMO methods are 56r/min, 54r/min, 51r/min, and 48r/min, respectively. The speed drop scores of the proposed IDPRL+GFTSMO method during loading are 70.58%, 72.72% and 84.71% of ERL, SVERL and IDPRL. The speed increase at load shedding is 69.56%, 72.73% and 82.05% of ERL, SVERL and IDPRL, respectively. Under the case of the rotational speed from 300r/min to 600r/min, the transient response time of the proposed IDPRL+GFTSMO and IDPRL methods are both smaller than those of the SVERL and ERL methods. Simulation and experimental results show that the proposed method can effectively improve the system response speed, reduce the torque and speed ripple, and improve the anti-interference performance of external loads.
|
Received: 11 October 2021
|
|
|
|
|
[1] 叶宇豪, 彭飞, 黄允凯. 多电机同步运动控制技术综述[J]. 电工技术学报, 2021, 36(14): 2922-2935. Ye Yuhao, Peng Fei, Huang Yunkai.Overview of multi-motor synchronous motion control technology[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 2922-2935. [2] 刘春强, 骆光照, 涂文聪, 等. 基于自抗扰控制的双环伺服系统[J]. 中国电机工程学报, 2017, 37(23): 7032-7039, 7095. Liu Chunqiang, Luo Guangzhao, Tu Wencong, et al.Servo systems with double closed-loops based on active disturbance rejection controllers[J]. Proceedings of the CSEE, 2017, 37(23): 7032-7039, 7095. [3] Li Longfei, Xiao Jie, Zhao Yun, et al.Robust position anti-interference control for PMSM servo system with uncertain disturbance[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(2): 151-160. [4] 付东学, 赵希梅. 永磁直线同步电机自适应非奇异快速终端滑模控制[J]. 电工技术学报, 2020, 35(4): 717-723. Fu Dongxue, Zhao Ximei.Adaptive nonsingular fast terminal sliding mode control for permanent magnet linear synchronous motor[J]. Transactions of China Electrotechnical Society, 2020, 35(4): 717-723. [5] 左月飞, 刘闯, 张捷, 等. 永磁同步电动机转速伺服系统PI控制器的一种新设计方法[J]. 电工技术学报, 2016, 31(13): 180-188. Zuo Yuefei, Liu Chuang, Zhang Jie, et al.A novel design method of PI controller for permanent magnetic synchronous motor speed servo system[J]. Transactions of China Electrotechnical Society, 2016, 31(13): 180-188. [6] 吕广强, 许文敏, 王谱宇. 基于变论域模糊PI自适应控制的电力弹簧控制策略[J]. 电力系统自动化, 2020, 44(18): 172-178. Lü Guangqiang, Xu Wenmin, Wang Puyu.Control strategy for electric spring based on fuzzy proportional-integral self-adaptive control in variable universe[J]. Automation of Electric Power Systems, 2020, 44(18): 172-178. [7] Shao Meng, Deng Yongting, Li Hongwen, et al.Robust speed control for permanent magnet synchronous motors using a generalized predictive controller with a high-order terminal sliding-mode observer[J]. IEEE Access, 2019, 7: 121540-121551. [8] 魏惠芳, 王丽梅. 永磁直线同步电机自适应模糊神经网络时变滑模控制[J]. 电工技术学报, 2022, 37(4): 861-869. Wei Huifang, Wang Limei.Adaptive fuzzy neural network time-varying sliding mode control for permanent magnet linear synchronous motor[J]. Transactions of China Electrotechnical Society, 2022, 37(4): 861-869. [9] 李政, 胡广大, 崔家瑞, 等. 永磁同步电机调速系统的积分型滑模变结构控制[J]. 中国电机工程学报, 2014, 34(3): 431-437. Li Zheng, Hu Guangda, Cui Jiarui, et al.Sliding-mode variable structure control with integral action for permanent magnet synchronous motor[J]. Proceedings of the CSEE, 2014, 34(3): 431-437. [10] 姚绪梁, 黄乘齐, 王景芳, 等. 两相静止坐标系下的永磁同步电动机模型预测功率控制[J]. 电工技术学报, 2021, 36(1): 60-67. Yao Xuliang, Huang Shengqi, Wang Jingfang, et al.Model predictive power control of permanent magnet synchronous motor in two-phase static coordinate system[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 60-67. [11] 陈闯, 王勃, 于泳, 等. 基于改进指数趋近律的感应电机滑模转速观测器研究[J]. 电工技术学报, 2020, 35(增刊1): 155-163. Chen Chuang, Wang Bo, Yu Yong, et al.An improved exponential reaching law based-sliding mode observer for speed-sensorless induction motor drives[J]. Transactions of China Electrotechnical Society, 2020, 35(S1): 155-163. [12] Yin Zhonggang, Gong Lei, Du Chao, et al.Integrated position and speed loops under sliding-mode control optimized by differential evolution algorithm for PMSM drives[J]. IEEE Transactions on Power Electronics, 2019, 34(9): 8994-9005. [13] Zhang Xiaoguang, Sun Lizhi, Zhao Ke, et al.Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques[J]. IEEE Transactions on Power Electronics, 2013, 28(3): 1358-1365. [14] 张国荣, 侯立凯, 彭勃, 等. 柔性多状态开关反馈线性化滑模控制[J]. 电力系统自动化, 2020, 44(1): 126-133. Zhang Guorong, Hou Likai, Peng Bo, et al.Feedback linearization sliding mode control strategy for soft open point[J]. Automation of Electric Power Systems, 2020, 44(1): 126-133. [15] Jiang Yajie, Xu Wei, Mu Chaoxu, et al.Improved deadbeat predictive current control combined sliding mode strategy for PMSM drive system[J]. IEEE Transactions on Vehicular Technology, 2018, 67(1): 251-263. [16] Fan Ying, Zhang Li, Cheng Ming, et al.Sensorless SVPWM-FADTC of a new flux-modulated permanent-magnet wheel motor based on a wide-speed sliding mode observer[J]. IEEE Transactions on Industrial Electronics, 2015, 62(5): 3143-3151. [17] Gao Weibing, Hung J C.Variable structure control of nonlinear systems: a new approach[J]. IEEE Transactions on Industrial Electronics, 1993, 40(1): 45-55. [18] Lin F J, Hung Y C, Ruan Kaichun.An intelligent second-order sliding-mode control for an electric power steering system using a wavelet fuzzy neural network[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(6): 1598-1611. [19] 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. [20] 樊英, 周晓飞, 张向阳, 等. 基于新型趋近律和混合速度控制器的IPMSM调速系统滑模变结构控制[J]. 电工技术学报, 2017, 32(5): 9-18. Fan Ying, Zhou Xiaofei, Zhang Xiangyang, et al.Sliding mode control of IPMSM system based on a new reaching law and a hybrid speed controller[J]. Transactions of China Electrotechnical Society, 2017, 32(5): 9-18. [21] Wang Yaoqiang, Feng Yutao, Zhang Xiaoguang, et al.A new reaching law for antidisturbance sliding-mode control of PMSM speed regulation system[J]. IEEE Transactions on Power Electronics, 2020, 35(4): 4117-4126. [22] Kim E.A fuzzy disturbance observer and its application to control[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(1): 77-84. [23] Liu Huixian, Li Shihua.Speed control for PMSM servo system using predictive functional control and extended state observer[J]. IEEE Transactions on Industrial Electronics, 2012, 59(2): 1171-1183. [24] Lian Chuanqiang, Xiao Fei, Gao Shan, et al.Load torque and moment of inertia identification for permanent magnet synchronous motor drives based on sliding mode observer[J]. IEEE Transactions on Power Electronics, 2019, 34(6): 5675-5683. [25] 张晓光, 赵克, 孙力, 等. 永磁同步电机滑模变结构调速系统动态品质控制[J]. 中国电机工程学报, 2011, 31(15): 47-52. Zhang Xiaoguang, Zhao Ke, Sun Li, et al.Sliding mode control of permanent magnet synchronous motor based on a novel exponential reaching law[J]. Proceedings of the CSEE, 2011, 31(15): 47-52. [26] Marks G, Shtessel Y, Gratt H, et al.Effects of high order sliding mode guidance and observers on hit-to-kill interceptions[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, California, Reston, Virginia, USA, 2005: 5967. [27] Levant A.Higher-order sliding modes, differentiation and output-feedback control[J]. International Journal of Control, 2003, 76(9/10): 924-941. |
|
|
|