Abstract:Synchronous Reluctance Motor (SynRM) is widely used in air compressors, fans, and electric vehicles because of its wide speed range, strong overload capacity, low cost, high reliability, and insensitive temperature rise during operation. To ensure the control accuracy of position and speed, installing a position sensor is necessary for position and speed measurement of the rotor, which makes the motor occupy a large volume, the cost is high, reliability is low, and immunity is weak. Therefore, taking the synchronous reluctance motor as the research object, this paper studies its speed sensorless control strategy to enhance system immunity. A speed sensor-free control strategy based on a magnetic chain observer is studied. However, the cross-coupling effect exists during the operation of SynRM, which causes the inductance to change nonlinearly with the current, reducing the accuracy of the rotor position estimated by the flux observer. Voltage with different amplitudes and frequencies is injected into the d-q axis by the static experiment. The forward Euler method is used to calculate the d-q axis magnetic chain. The linear least square method fits the non-linear function model of the d-q axis magnetic chain and current. Finally, the function model is applied to the magnetic chain observer to improve the rotor speed and position estimation accuracy. A speed sensorless controller strategy for SynRM based on auto-disturbance rejection technology is studied to overcome weak immunity and low robustness. Firstly, the design principle of the ADRC is analyzed, and an ADRC suitable for SynRM is selected. According to the SynRM mechanical motion state equation, load variation is regarded as a total disturbance, and the disturbance is quickly observed and compensated. In view of the disadvantage of extensive parameters and complex adjustment in ADRC, a linear function is used instead of the original nonlinear function, which improves the robustness of the system. Finally, a Matlab/Simulink simulation model of speed sensorless control strategy for the synchronous reluctance motor is built based on auto-disturbance rejection technology. The nonlinear function model of d-q axis flux and d-q axis current considering the cross-coupling effect is established and applied to the flux closed-loop observer method, improving the rotor position estimation accuracy. At the same time, a first-order linear active disturbance rejection controller is designed to improve the speed loop. The disturbance is compensated in time while observing the motor motion state, and the problems of overshoot, slow response speed, and slow speed recovery time when the motor is perturbed are solved.
王建渊, 王海啸, 尹忠刚, 李英杰, 景航辉. 基于一阶线性自抗扰控制器的同步磁阻电机无速度传感器控制[J]. 电工技术学报, 2024, 39(14): 4405-4421.
Wang Jianyuan, Wang Haixiao, Yin Zhonggang, Li Yingjie, Jing Hanghui. Sensorless Control of Synchronous Reluctance Motor Based on First Order Linear Active Disturbance Rejection Controller. Transactions of China Electrotechnical Society, 2024, 39(14): 4405-4421.
[1] 徐心愿, 王云冲, 沈建新. 基于最大转矩电流比的同步磁阻电机DTC-SVM控制策略[J]. 电工技术学报, 2020, 35(2): 246-254. Xu Xinyuan, Wang Yunchong, Shen Jianxin.Direct torque control-space vector modulation control strategy of synchronous reluctance motor based on maximum torque per-ampere[J]. Transactions of China Electrotechnical Society, 2020, 35(2): 246-254. [2] Moghaddam H A, Rezaei O, Saeidi M.Rotary shaft encoder inaccuracy compensation for PMA-SynRM drives application using augmented state UKF[J]. IEEE Transactions on Instrumentation and Mea-surement, 1976, 70: 3525013. [3] Hadla H, Santos F.Performance comparison of field-oriented control, direct torque control, and model-predictive control for SynRMs[J]. Chinese Journal of Electrical Engineering, 2022, 8(1): 24-37. [4] Maroufian S S, Pillay P.Design and analysis of a novel PM-assisted synchronous reluctance machine topology with AlNiCo magnets[J]. IEEE Transactions on Industry Applications, 2019, 55(5): 4733-4742. [5] Nikmaram B, Davari S A, Naderi P, et al.Sensorless simplified finite control set model predictive control of SynRM using finite position set algorithm[J]. IEEE Access, 2021, 9: 47184-47193. [6] 李争, 安金峰, 肖宇, 等. 基于自适应观测器的永磁同步直线电机模型预测控制系统设计[J]. 电工技术学报, 2021, 36(6): 1190-1200. Li Zheng, An Jinfeng, Xiao Yu, et al.Design of model predictive control system for permanent magnet synchronous linear motor based on adaptive observer[J]. Transactions of China Electrotechnical Society, 2021, 36(6): 1190-1200. [7] Liu Zhaohua, Nie Jie, Wei Hualiang, et al.Switched PI control based MRAS for sensorless control of PMSM drives using fuzzy-logic-controller[J]. IEEE Open Journal of Power Electronics, 2053, 3: 368-381. [8] Varatharajan A, Pellegrino G, Armando E.Sensorless synchronous reluctance motor drives: auxiliary flux-based position observer[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021, 9(4): 4330-4339. [9] 王震宇, 孙伟, 蒋栋. 基于虚拟电压注入的闭环磁链观测器的感应电机无速度传感器矢量控制系统[J]. 电工技术学报, 2022, 37(2): 332-343. Wang Zhenyu, Sun Wei, Jiang Dong.Induction motor speed sensorless vector control system based on closed-loop flux observer with virtual voltage injection[J]. Transactions of China Electrotechnical Society, 2022, 37(2): 332-343. [10] Li Chengrui, Wang Gaolin, Zhang Guoqiang, et al.Torque ripples minimization of sensorless SynRM drives for low-speed operation using Bi-HFSI scheme[J]. IEEE Transactions on Industrial Elec-tronics, 2021, 68(7): 5559-5570. [11] 麦志勤, 刘计龙, 肖飞, 等. 基于估计位置反馈电流解调算法的改进型高频旋转电压注入无位置传感器控制策略[J]. 电工技术学报, 2022, 37(4): 870-881, 891. Mai Zhiqin, Liu Jilong, Xiao Fei, et al.Sensorless control strategy of improved HF rotating voltage injection based on estimated position feedback current demodulation algorithm[J]. Transactions of China Electrotechnical Society, 2022, 37(4): 870-881, 891. [12] Kim H S, Lee K.Model predictive current control with online parameter estimation for synchronous reluctance machine controlled by high-frequency signal injection position-sensorless[J]. IEEE Access, 2022, 10: 25267-25277. [13] Wen Dingdou, Wang Wei, Zhang Yang.Sensorless control of permanent magnet synchronous motor in full speed range[J]. Chinese Journal of Electrical Engineering, 2022, 8(2): 97-107. [14] Pasqualotto D, Rigon S, Zigliotto M.Sensorless speed control of synchronous reluctance motor drives based on extended Kalman filter and neural magnetic model[J]. IEEE Transactions on Industrial Electronics, 2023, 70(2): 1321-1330. [15] Bugsch M, Piepenbreier B.High-bandwidth sensor-less control of synchronous reluctance machines in the low-and zero-speed range[J]. IEEE Transactions on Industry Applications, 2020, 56(3): 2663-2672. [16] Lu Wenqi, Li Qiang, Lu Kaiyuan, et al.Load adaptive PMSM drive system based on an improved ADRC for manipulator joint[J]. IEEE Access, 2021, 9: 33369-33384. [17] Wang Bo, Tian Minghe, Yu Yong, et al.Enhanced ADRC with quasi-resonant control for PMSM speed regulation considering aperiodic and periodic dis-turbances[J]. IEEE Transactions on Transportation Electrification, 2022, 8(3): 3568-3577. [18] Lin Ping, Wu Zhen, Liu Kunzhi, et al.A class of linear-nonlinear switching active disturbance rejection speed and current controllers for PMSM[J]. IEEE Transactions on Power Electronics, 2021, 36(12): 14366-14382. [19] Lin Shiyu, Cao Yanfei, Li Chen, et al.Two-degree-of-freedom active disturbance rejection current control for permanent magnet synchronous motors[J]. IEEE Transactions on Power Electronics, 2023, 38(3): 3640-3652. [20] Yan Zishuo, Zhou Yonghua.Application to optimal control of brushless DC motor with ADRC based on genetic algorithm[C]//2020 IEEE International Con-ference on Advances in Electrical Engineering and Computer Applications(AEECA), Dalian, China, 2020: 1032-1035. [21] Wang Yicheng, Fang Shuhua, Hu Jianxiong.Active disturbance rejection control based on deep reinforcement learning of PMSM for more electric aircraft[J]. IEEE Transactions on Power Electronics, 2023, 38(1): 406-416. [22] Hao Zhengjie, Yang Yang, Gong Yimin, et al.Linear/ nonlinear active disturbance rejection switching control for permanent magnet synchronous motors[J]. IEEE Transactions on Power Electronics, 2021, 36(8): 9334-9347. [23] Zhu Lianghong, Zhang Guoqiang, Jing Runze, et al.Nonlinear active disturbance rejection control strategy for permanent magnet synchronous motor drives[J]. IEEE Transactions on Energy Conversion, 2022, 37(3): 2119-2129. [24] 朱良红, 张国强, 李宇欣, 等. 基于级联扩张观测器的永磁电机无传感器自抗扰控制策略[J]. 电工技术学报, 2022, 37(18): 4614-4624. Zhu Lianghong, Zhang Guoqiang, Li Yuxin, et al.Active disturbance rejection control for position sensorless permanent magnet synchronous motor drives based on cascade extended state observer[J]. Transactions of China Electrotechnical Society, 2022, 37(18): 4614-4624. [25] Nguyen H V, Suleimenov K, Nguyen B H, et al.Dynamical delay unification of disturbance observation techniques for PMSM drives control[J]. IEEE/ASME Transactions on Mechatronics, 2022, 27(6): 5560-5571. [26] 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.