基于复合观测器的PMSM分数阶快速终端滑模速度跟踪控制

doi:10.19595/j.cnki.1000-6753.tces.240952

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Abstract Due to their high efficiency, high power density, and compact structure, permanent magnet synchronous motors (PMSM) have been widely used in many fields, such as industrial robots, medical equipment, and household appliances. However, the PMSM system essentially has multivariable, nonlinear, and time-varying coupling characteristics, easily affected by external load disturbances and internal parameter fluctuations in practical applications. Traditional control methods are challenging in meeting the requirements of speed tracking accuracy in high-performance application scenarios. This paper proposes a fractional-order fast terminal sliding mode control (FTSMC) method based on a composite observer.
Firstly, the mathematical model of a non-salient pole PMSM with uncertainty is established. Then, the fractional-order calculus operator with memory property is introduced into the fast terminal sliding mode surface, and the fractional-order FTSMC method is designed. Thus, the system state trajectory can quickly approach the predefined sliding mode surface in a limited time. Fractional-order FTSMC has stronger flexibility and faster convergence speed than the traditional integer-order sliding mode control, which can effectively deal with the characteristics of nonlinear and time-varying systems. In addition, the fractional calculus operator with memory property is added to the sliding mode surface, which further weakens the chattering phenomenon common in traditional sliding mode control and improves the stability and control accuracy of the system.
Secondly, aiming at the difficulty of controller parameter selection, achieving the optimal anti-disturbance performance is difficult while ensuring tracking accuracy. We adopt the fuzzy adaptive method to update the system parameters in real-time. The control parameters are dynamically adjusted according to the system's current state through the fuzzy logic reasoning mechanism, and the system can maintain the best performance under different working conditions. This method not only simplifies the design process of the controller but also significantly improves the system's speed-tracking accuracy and anti-interference ability.
A composite observer structure is designed enhances the system's robustness to load disturbance. The sliding mode disturbance observer and the load torque observer record the system's mismatched and matched disturbances, improving the steady-state tracking accuracy and anti-disturbance performance. The experimental results show that the proposed method is practical and feasible, and the system's tracking accuracy and anti-interference performance are significantly improved.
Finally, experimental tests were conducted under no-load, loading, and unloading conditions. The experimental results show that this method exhibits excellent speed regulation ability and stability, significantly improving the tracking accuracy and anti-interference performance of the PMSM servo system.

Key words： Permanent magnet synchronous motor fractional calculus fast terminal sliding mode control fuzzy control composite observer

Received: 04 June 2024

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	Teng Ran
	Zhao Ximei

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Teng Ran,Zhao Ximei. Fractional-Order Fast Terminal Sliding Mode Speed Tracking Control Based on Composite Observer for PMSM[J]. Transactions of China Electrotechnical Society, 2025, 40(16): 5259-5270.

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[1] 陈荣, 翟凯淼, 舒胡平. 永磁同步电机双矢量固定开关频率模型预测控制研究[J]. 电工技术学报, 2023, 38(14): 3812-3823.
Chen Rong, Zhai Kaimiao, Shu Huping.Predictive control of dual vector fixed switching frequency model for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2023, 38(14): 3812-3823.
[2] 刘忠永, 范涛, 何国林, 等. 高性能永磁同步电机显式模型预测控制算法研究[J]. 电工技术学报, 2023, 38(22): 6039-6058.
Liu Zhongyong, Fan Tao, He Guolin, et al.Research on high-performance explicit model predictive control algorithm for permanent magnet synchronous motors[J]. Transactions of China Electrotechnical Society, 2023, 38(22): 6039-6058.
[3] 杨明, 刘铠源, 陈扬洋, 等. 基于PI-Lead控制的永磁同步电机双环位置伺服系统[J]. 电工技术学报, 2023, 38(8): 2060-2072.
Yang Ming, Liu Kaiyuan, Chen Yangyang, et al.Permanent magnet synchronous motor dual-loop position servo system based on PI-Lead control[J]. Transactions of China Electrotechnical Society, 2023, 38(8): 2060-2072.
[4] Guo Xin, Huang Shoudao, Lu Kaiyuan, et al.A fast sliding mode speed controller for PMSM based on new compound reaching law with improved sliding mode observer[J]. IEEE Transactions on Transpo- rtation Electrification, 2023, 9(2): 2955-2968.
[5] Xu Wei, Junejo A K, Liu Yi, et al.An efficient antidisturbance sliding-mode speed control method for PMSM drive systems[J]. IEEE Transactions on Power Electronics, 2021, 36(6): 6879-6891.
[6] 李思毅, 苏健勇, 杨贵杰. 基于自抗扰控制的永磁同步电机弱磁控制策略[J]. 电工技术学报, 2022, 37(23): 6135-6144.
Li Siyi, Su Jianyong, Yang Guijie.Flux weakening control strategy of permanent magnet synchronous motor based on active disturbance rejection control[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 6135-6144.
[7] Yu Jinpeng, Shi Peng, Dong Wenjie, et al.Neural network-based adaptive dynamic surface control for permanent magnet synchronous motors[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(3): 640-645.
[8] Mandra S, Galkowski K, Aschemann H.Robust guaranteed cost ILC with dynamic feedforward and disturbance compensation for accurate PMSM position control[J]. Control Engineering Practice, 2017, 65: 36-47.
[9] 杨帆, 赵希梅, 金鸿雁, 等. 基于广义比例积分观测器的永磁同步电机鲁棒谐振预测电流控制[J]. 电工技术学报, 2024, 39(10): 2995-3006.
Yang Fan, Zhao Ximei, Jin Hongyan, et al.Robust resonant predictive current control based on genera- lized proportional integral observer for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2024, 39(10): 2995-3006.
[10] 东野亚兰, 杨淑英, 王奇帅, 等. 基于增强型扩张状态观测器的永磁同步电机低抖振高抗扰二阶终端滑模电流控制[J]. 电工技术学报, 2024, 39(8): 2434-2448.
Dongye Yalan, Yang Shuying, Wang Qishuai, et al.Enhanced extended state observer based second order terminal sliding mode current control for permanent magnet synchronous machine with low chattering and improved disturbance rejection[J]. Transactions of China Electrotechnical Society, 2024, 39(8): 2434-2448.
[11] Mani P, Rajan R, Shanmugam L, et al.Adaptive fractional fuzzy integral sliding mode control for PMSM model[J]. IEEE Transactions on Fuzzy Systems, 2019, 27(8): 1674-1686.
[12] Ma Yuxiang, Li Dong, Li Yunhua, et al.A novel discrete compound integral terminal sliding mode control with disturbance compensation for PMSM speed system[J]. IEEE/ASME Transactions on Mechatronics, 2022, 27(1): 549-560.
[13] Zhu Changlin, Tu Qunzhang, Jiang Chengming, et al.Global fast terminal sliding mode control strategy for permanent magnet synchronous motor based on load torque Luenberger observer[J]. IEICE Electronics Express, 2021, 18(19): 20210348.
[14] 刘兴勇. 基于负载转矩观测器的船舶推进PMSM滑模控制研究[D]. 大连: 大连海事大学, 2015.
Liu Xingyong.Load torque observer based sliding mode control of ship propulsion PMSM[D]. Dalian: Dalian Maritime University, 2015.
[15] 任金霞, 何明晏, 姚广辉. 基于改进ESO和分数阶滑模的PMSM转速控制[J]. 组合机床与自动化加工技术, 2023(12): 137-141.
Ren Jinxia, He Mingyan, Yao Guanghui.PMSM speed control based on improved ESO and fractional sliding mode[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2023(12): 137-141.
[16] Calgan H.Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor[J]. COMPEL- the International Journal for Computation and Mathe- matics in Electrical and Electronic Engineering, 2022, 41(1): 455-470.