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Model Predictive Current Control Strategy for Dual Three-Phase Permanent Magnet Synchronous Motors Based on Triple Rotating Coordinate Transformation |
Chu Wei, Lin Huangda, Yi Xinqiang |
National Key Laboratory of Electromagnetic Energy Naval University of Engineering Wuhan 430033 China |
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Abstract The traditional vector space decoupled (VSD)-based model predictive current control (MPCC) for dual three-phase permanent magnet synchronous motors (PMSM) involves complex selection of harmonic weight coefficients. Dual d-q current control provides an alternative for balancing currents, but it introduces cross-coupling-induced harmonics and limits winding utilization, which can affect fault-tolerant operation. To address these challenges, a model predictive current control strategy based on triple rotational coordinate transformation is proposed. This study develops a mathematical model using the triple coordinate transformation method and examines its relationship with the dual d-q coordinate model and the VSD motor model. The proposed model is analyzed, and its performance is assessed through simulations. The dual three-phase windings of the PMSM are reorganized into a triple virtual stationary coordinate system (3-α-β) based on the phase alignment, which is then transformed into three sets of d-q components using the Park transform. A mathematical model of the motor is formulated within the triple d-q coordinate framework, and a comparative analysis shows that the components are decoupled. It is further demonstrated that the harmonic current components are eliminated when the currents in the triple d-q system are balanced. Simulations are conducted for both VSD-MPCC and the proposed 3dq-MPCC for validation. The simulation results demonstrate the following: VSD-MPCC effectively suppresses harmonic currents while considering the motor's dynamic performance. However, it involves a complex process for selecting weight coefficients. (1) steady-state performance comparison. In terms of phase current, the 3dq-MPCC control method consistently exhibits superior sinusoidal characteristics, lower total harmonic distortion (THD), and reduced harmonic components under varying operating conditions, including low-speed and light-load, high-speed and light-load, and high-speed and heavy-load scenarios. Under low-speed and light-load conditions, the phase current THD of 3dq-MPCC is 6.47%, significantly lower than the 11.09% observed in VSD-MPCC. Moreover, the H5 and H7 harmonic components are reduced by 1.37% and 0.79%, respectively. Similar trends are observed under high-speed conditions. For example, at high-speed and light-load, 3dq-MPCC achieves a THD of 12.15%, compared to 20.50% for VSD-MPCC. Under high-speed and heavy-load conditions, the respective THD values are 4.16% and 6.98%. The motor speed fluctuation analysis further underscores the control advantages of 3dq-MPCC. At 300 r/min under low-speed and light-load conditions, the speed fluctuation range of 3dq-MPCC is only 0.2 r/min, much smaller than the 1.6 r/min of VSD-MPCC. At high-speed and light-load (800 r/min) and high-speed and heavy-load conditions, the speed fluctuation ranges of 3dq-MPCC are 0.7 r/min and 0.5 r/min, respectively, compared to 2.2 r/min and 1.8 r/min for VSD-MPCC. Additionally, the harmonic space current trajectory analysis confirms the superior harmonic suppression capability of 3dq-MPCC. Across all three conditions, the harmonic current trajectory range of VSD-MPCC is significantly larger than that of 3dq-MPCC. For example, under low-speed and light-load conditions, the maximum harmonic current trajectory range of VSD-MPCC reaches 1.5 A, while that of 3dq-MPCC is only 0.6 A. Similar differences are observed under high-speed conditions. (2) Dynamic Performance Comparison Under dynamic conditions (e.g., motor start at no load, a set speed of 600 r/min, load torque increased to 200 N·m at 0.1 s, then suddenly reduced to 100 N·m at 0.2 s): In terms of the phase current dynamic response, VSD-MPCC stabilizes at 0.104 s following a transient period of approximately 0.004 s after a fluctuation at 0.1 s. In contrast, 3dq-MPCC stabilizes at about 0.102 s, with a transient duration of only 0.002 s and a smaller fluctuation range. For the Q-axis current dynamic response, VSD-MPCC requires about 0.004 s to stabilize, while 3dq-MPCC stabilizes in approximately 0.002 s with significantly smaller fluctuations. In the speed dynamic response, the transient process of VSD-MPCC lasts about 0.003 s, while that of 3dq-MPCC is shorter at 0.0025 s, with a comparatively smaller fluctuation range. The simulation results demonstrate a comparison between the proposed 3dq-MPCC and the traditional VSD-MPCC in terms of steady-state and dynamic characteristics, focusing on phase current, motor speed, harmonic current trajectory, and Q-axis current. The proposed 3dq-MPCC eliminates the complexity associated with selecting harmonic weight coefficients in VSD-MPCC, thereby simplifying the control strategy. Furthermore, the results indicate that 3dq-MPCC effectively suppresses harmonic currents and achieves favorable steady-state and dynamic performance.
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Received: 11 July 2024
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[1] Ye Donglin, Li Jian, Chen Junhua, et al.Study on steady-state errors for asymmetrical six-phase permanent magnet synchronous machine fault-tolerant predictive current control[J]. IEEE Transactions on Power Electronics, 2020, 35(1): 640-651. [2] Gao Jian, Dai Litao, Zhang Wenjuan, et al.Multi-interval efficiency design optimization for permanent magnet synchronous generators used in hybrid electric special vehicles[J]. IEEE Transactions on Industrial Electronics, 2021, 68(6): 4646-4656. [3] 田代宗, 孙宇光, 王善铭, 等. 多相整流永磁同步发电机绕组内部相间短路的故障分析[J]. 电工技术学报, 2020, 35(6): 1262-1271. Tian Daizong, Sun Yuguang, Wang Shanming, et al.Analysis of stator internal phase-to-phase short-circuit in the multiphase permanent magnet synchronous generator with rectifier load system[J]. Transactions of China Electrotechnical Society, 2020, 35(6): 1262-1271. [4] Zhao Wenxiang, Tao Tao, Zhu Jihong, et al.A novel finite-control-set model predictive current control for five-phase PM motor with continued modulation[J]. IEEE Transactions on Power Electronics, 2020, 35(7): 7261-7270. [5] Ruan Zhihuang, Song Wenxiang, Yan Yan.Current harmonic suppression for dual three-phase permanent magnet synchronous motor drives[J]. IEEE Access, 2019, 7: 143888-143898. [6] 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. [7] 李家祥, 汪凤翔, 柯栋梁, 等. 基于粒子群算法的永磁同步电机模型预测控制权重系数设计[J]. 电工技术学报, 2021, 36(1): 50-59. Li Jiaxiang, Wang Fengxiang, Ke Dongliang, et al.Weighting factors design of model predictive control for permanent magnet synchronous machine using particle swarm optimization[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 50-59. [8] 郑博元, 李炳均, 徐永向, 等. 考虑电压约束时双三相永磁同步电机一相开路的建模与容错控制策略[J]. 中国电机工程学报, 2023, 43(1): 294-303. Zheng Boyuan, Li Bingjun, Xu Yongxiang, et al.Modeling and fault-tolerant control for DTP-PMSM with one phase open circuit fault considering voltage constraints[J]. Proceedings of the CSEE, 2023, 43(1): 294-303. [9] 孙全增, 张志锋. 双三相永磁同步电机低共模电压模型预测电流控制[J]. 电工技术学报, 2023, 38(14): 3708-3722. Sun Quanzeng, Zhang Zhifeng.Low common-mode voltage model predictive current control for dual three-phase permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2023, 38(14): 3708-3722. [10] 苗轶如, 宋鹏云, 吕铭晟, 等. 表贴式永磁同步电机预测转矩控制的无权重代价函数设计方法[J]. 电工技术学报, 2023, 38(12): 3141-3150. Miao Yiru, Song Pengyu, Lü Mingcheng, et al.Design of cost function without weighting factor for predictive torque control of surface-mounted permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2023, 38(12): 3141-3150. [11] 魏尧, 柯栋梁, 黄东晓, 等. 基于时间序列的永磁同步电机连续控制集无模型预测电流控制[J]. 电工技术学报, 2023, 38(22): 6027-6038. Wei Yao, Ke Dongliang, Huang Dongxiao, et al.A continuous-control-set type model-free predictive current control based on time-series for permanent magnet synchronous motor drives[J]. Transactions of China Electrotechnical Society, 2023, 38(22): 6027-6038. [12] 郭磊磊, 王朋帅, 李琰琰, 等. 不同代价函数下永磁同步电机模型预测控制参数失配可视化分析[J]. 电工技术学报, 2023, 38(4): 903-914. Guo Leilei, Wang Pengshuai, Li Yanyan, et al.Visual analysis of parameters mismatch in model predictive control for permanent magnet synchronous motor under different cost functions[J]. Transactions of China Electrotechnical Society, 2023, 38(4): 903-914. [13] 张建亚, 王凯, 朱姝姝, 等. 双三相永磁同步电机多谐波电流协同控制策略[J]. 中国电机工程学报, 2020, 40(2): 644-652. Zhang Jianya, Wang Kai, Zhu Shushu, et al.Control strategies of dual three-phase permanent magnet machines with multi-harmonics[J]. Proceedings of the CSEE, 2020, 40(2): 644-652. [14] 段卓琳, 张栋, 范涛. SiC电机驱动系统传导电磁干扰建模及预测[J]. 电工技术学报, 2020, 35(22): 4726-4738. Duan Zhuolin, Zhang Dong, Fan Tao.Modeling and prediction of electromagnetic interference in SiC motor drive systems[J]. Transactions of China Electrotechnical Society, 2020, 35(22): 4726-4738. [15] 黄林森, 赵文祥, 吉敬华, 等. 稳态性能改善的双三相永磁电机直接转矩控制[J]. 电工技术学报, 2022, 37(2): 355-367. Huang Linsen, Zhao Wenxiang, Ji Jinghua, et al.Direct torque control for dual three-phase permanent-magnet machine with improved steady-state perfor-mance[J]. Transactions of China Electrotechnical Society, 2022, 37(2): 355-367. [16] Luo Yixiao, Liu Chunhua.Elimination of harmonic currents using a reference voltage vector based-model predictive control for a six-phase PMSM motor[J]. IEEE Transactions on Power Electronics, 2019, 34(7): 6960-6972. [17] Xu Shuai, Sun Zhenyao, Yao Chunxing, et al.Model predictive control with constant switching frequency for three-level T-type inverter-fed PMSM drives[J]. IEEE Transactions on Industrial Electronics, 2022, 69(9): 8839-8850. [18] 宋战锋, 毛丰羽, 崔严谨, 等. 参考跟踪和扰动抑制解耦的双三相永磁同步电机容错控制策略[J]. 电工技术学报, 2023, 38(2): 435-450. Song Zhanfeng, Mao Fengyu, Cui Yanjin, et al.An fault-tolerant control strategy based on decoupling between reference tracking and periodic disturbance attenuation for dual-three-phase permanent magnet synchronous machine[J]. Transactions of China Electrotechnical Society, 2023, 38(2): 435-450. [19] 肖海峰, 许宇豪, 李文真, 等. 五相永磁同步电机串级模型预测电流控制[J]. 电气技术, 2023, 24(8): 1-11. Xiao Haifeng, Xu Yuhao, Li Wenzhen, et al.Model predictive current control based on series cost function for five-phase permanent magnet synchronous machines[J]. Electrical Engineering, 2023, 24(8): 1-11. [20] 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. [21] 刘蔚, 李万铨, 王明峤, 等. 复杂工况下的永磁同步电机典型绕组故障在线诊断[J]. 电工技术学报, 2024, 39(6): 1764-1776. Liu Wei, Li Wanquan, Wang Mingqiao, et al.Online diagnosis of typical winding faults in permanent magnet synchronous motors under complex working conditions[J]. Transactions of China Electrotechnical Society, 2024, 39(6): 1764-1776. [22] 周华伟, 陈铖, 向小龙, 等. 基于扰动观测器的五相永磁同步电机开路和短路容错矢量控制[J]. 电工技术学报, 2024, 39(15): 4782-4793. Zhou Huawei, Chen Cheng, Xiang Xiaolong, et al.Disturbance-observer-based field-oriented control of five-phase PMSM under open-circuit and short-circuit faults[J]. Transactions of China Electrotechnical Society, 2024, 39(15): 4782-4793. |
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