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Voltage Stabilization Control Strategy of High-Speed Permanent Magnet Synchronous Generator Based on Disturbance Observer Compensation |
Yin Shengjing1, Wang Xiaolin1, Zhang Yan1,2 |
1. School of Automation Nanjing University of Aeronautics and Astronautics Nanjing 211106 China; 2. College of Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing 211169 China |
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Abstract High-speed permanent magnet synchronous generator (HSPMSG) has the advantages of high power density, small size, and lightweight, and is widely used in many applications. However, the conventional double closed-loop control has poor control performance as the output voltage fluctuates with the change of load, which is difficult to meet high-performance applications. For the above problems, some advanced control methods have been proposed, but most have limited ability to suppress load disturbances. In order to improve the ability of the system to resist load disturbance, this paper proposes a voltage stabilization control method based on the disturbance observer compensation. Firstly, a dynamic mathematical model of the permanent magnet synchronous generator system is established. Secondly, considering the influence of load changes on voltage stability, this paper considers the load current as a system disturbance, and a disturbance observer based on the super-twisting algorithm is designed. To improve the response speed of the disturbance observer, the super-twisting algorithm is improved, and its stability is demonstrated by the Lyapunov stability theory. Then, to further improve the tracking and immunity of the conventional PI controller, a two-degree-of-freedom voltage loop PI controller is designed, and its control parameters are analyzed. Finally, the load current observed by the disturbance observer is converted and feedback to the output of the voltage loop so that fluctuations in the DC-side voltage during load changes can be suppressed. The system stability is analyzed by frequency domain analysis, and the results show that with load current feedforward, the disturbance of the system by the load current can be effectively suppressed. To verify the correctness and effectiveness of the proposed control method, simulations and experiments are carried out based on a HSPMSG. The simulation results show that the voltage fluctuation is reduced from 2.5 V to 0.2 V, and the settling time is reduced from 20 ms to 5 ms when the load is suddenly changed. It is demonstrated that the proposed control method can significantly suppress the voltage fluctuation during load switching, shorten the voltage settling time, and improve the dynamic performance of the output voltage. To further highlight the advantages of this control method, an experimental platform for a high-speed permanent magnet synchronous generator system based on the TMS320F28377D is built, and a series of experiments are conducted. According to the experimental results, the voltage drop is 11 V, and the settling time is 110 ms when the conventional control method is used. In comparison, the voltage drop is reduced from 11 V to 3.5 V, and the settling time is reduced to 42 ms with the proposed control method. The experimental results show that the control strategy proposed in this paper can effectively suppress the voltage fluctuation when the load changes and improve the dynamic performance of the system. The following conclusions can be drawn from the simulation and experimental results: (1) Based on the improved super-twisting algorithm, the disturbance observer can observe the change of load disturbance in real time and has high observation accuracy. (2) The control method proposed in this paper can significantly improve the dynamic performance of the system, which can effectively suppress the voltage fluctuation when the load changes and shorten the settling time of the voltage fluctuation.
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Received: 04 May 2022
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[1] Oh Y J, Park J S, Hyon B J, et al.Novel control strategy of wave energy converter using linear permanent magnet synchronous generator[J]. IEEE Transactions on Applied Superconductivity, 2018, 28(3): 1-5. [2] Gul W, Gao Qiang, Lenwari W.Optimal design of a 5-MW double-stator single-rotor PMSG for offshore direct drive wind turbines[J]. IEEE Transactions on Industry Applications, 2020, 56(1): 216-225. [3] 李进, 张钢, 刘志刚, 等. 城轨交通用飞轮储能阵列控制策略[J]. 电工技术学报, 2021, 36(23): 4885-4895. Li Jin, Zhang Gang, Liu Zhigang, et al.Control strategy of flywheel energy storage array for urban rail transit[J]. Transactions of China Electrotechnical Society, 2021, 36(23): 4885-4895. [4] 戴兴建, 姜新建, 王秋楠, 等. 1 MW/60 MJ飞轮储能系统设计与实验研究[J]. 电工技术学报, 2017, 32(21): 169-175. Dai Xingjian, Jiang Xinjian, Wang Qiunan, et al.The design and testing of a 1 MW/60 MJ flywheel energy storage power system[J]. Transactions of China Elec- trotechnical Society, 2017, 32(21): 169-175. [5] Ovacik L, Bilgin B.Developments in voltage regu- lation of variable-speed PM synchronous alternators in automotive electric systems[C]//2011 International Conference on Applied Electronics, Pilsen, Czech Republic, 2011: 1-6. [6] 林珍君, 黄声华, 万山明. 一种应用于船舶轴带同步发电机变流器系统的新型PWM整流控制策略[J]. 中国电机工程学报, 2016, 36(4): 1117-1126. Lin Zhenjun, Huang Shenghua, Wan Shanming.A novel PWM rectifier control strategy applied on ship shaft synchronous generator converter system[J]. Proceedings of the CSEE, 2016, 36(4): 1117-1126. [7] 李鸿扬, 温旭辉, 王又珑. 基于微型燃气轮机发电的混合动力系统小信号稳定性分析及前馈补偿控制[J]. 电工电能新技术, 2021, 40(4): 59-67. Li Hongyang, Wen Xuhui, Wang Youlong.Small signal stability analysis of micro turbine based power generation system and feedforward compensation control[J]. Advanced Technology of Electrical Engin- eering and Energy, 2021, 40(4): 59-67. [8] Ye Jin, Yang Xu, Ye Haizhong, et al.Full discrete sliding mode controller for three phase PWM rectifier based on load current estimation[C]//2010 IEEE Energy Conversion Congress and Exposition, Atlanta, GA, USA, 2010: 2349-2356. [9] Huang Jian, Zhang Zhuoran, Han Jianbin, et al.Sliding mode control of permanent magnet generator system based on improved exponential rate reaching law[J]. IET Electric Power Applications, 2020, 14(7): 1154-1162. [10] Bigarelli L, di Benedetto M, Lidozzi A, et al. PWM-based optimal model predictive control for variable speed generating units[J]. IEEE Transactions on Industry Applications, 2020, 56(1): 541-550. [11] Huang Jian, Zhang Zhuoran, Han Jianbin, et al.Dynamic performance improvement for permanent magnet generator system using current compensating method with two-degrees-of-freedom control[J]. IEEE Transactions on Industrial Electronics, 2021, 68(4): 2823-2833. [12] 梁戈, 黄守道, 李梦迪, 等. 基于高阶快速终端滑模扰动观测器的永磁同步电机机械参数辨识[J]. 电工技术学报, 2020, 35(增刊2): 395-403. Liang Ge, Huang Shoudao, Li Mengdi, et al.A high- order fast terminal sliding-mode disturbance observer based on mechanical parameter identification for PMSM[J]. Transactions of China Electrotechnical Society, 2020, 35(S2): 395-403. [13] 张翔, 杨家强, 王萌. 一种采用负载电流和转速补偿的改进型飞轮储能系统放电控制算法[J]. 电工技术学报, 2015, 30(14): 6-17. Zhang Xiang, Yang Jiaqiang, Wang Meng.An improved discharge control strategy with load current and rotor speed compensation for flywheel energy storage system[J]. Transactions of China Electro- technical Society, 2015, 30(14): 6-17. [14] 刘宇博, 王旭东, 周凯. 基于滑模观测器的永磁同步电机电流偏差解耦控制[J]. 电工技术学报, 2020, 35(8): 1642-1652. Liu Yubo, Wang Xudong, Zhou Kai.Current deviation decoupling control with a sliding mode observer for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2020, 35(8): 1642-1652. [15] 吴春, 傅子俊, 孙明轩, 等. 基于扩张状态观测器负载转矩补偿的永磁同步电机全速范围无位置传感器控制[J]. 电工技术学报, 2020, 35(增刊1): 172-181. Wu Chun, Fu Zijun, Sun Mingxuan, et al.Sensorless control of PMSM in all speed range based on extended state observer for load toque compen- sation[J]. Transactions of China Electrotechnical Society, 2020, 35(S1): 172-181. [16] 曹文远, 韩民晓, 谢文强, 等. 基于扰动观测器的电压源型逆变器负载电流前馈控制及参数设计方法[J]. 电工技术学报, 2020, 35(4): 862-873. Cao Wenyuan, Han Minxiao, Xie Wenqiang, et al.A disturbance-observer-based load current feedforward control and parameter design method for voltage- sourced inverter[J]. Transactions of China Electro- technical Society, 2020, 35(4): 862-873. [17] Wu Yuheng, Ye Yongqiang.Internal model-based disturbance observer with application to CVCF PWM inverter[J]. IEEE Transactions on Industrial Elec- tronics, 2018, 65(7): 5743-5753. [18] Xu Bo, Zhang Lei, Ji Wei.Improved non-singular fast terminal sliding mode control with disturbance observer for PMSM drives[J]. IEEE Transactions on Transportation Electrification, 2021, 7(4): 2753-2762. [19] Gui Yonghao, Frede B, Wang Xiongfei, et al.Improved DC-link voltage regulation strategy for grid-connected converters[J]. IEEE Transactions on Industrial Electronics, 2021, 68(6): 4977-4987. [20] Das S, Subudhi B.A two-degree-of-freedom internal model-based active disturbance rejection controller for a wind energy conversion system[J]. IEEE Journal of Emerging and Selected Topics in Power Elec- tronics, 2020, 8(3): 2664-2671. [21] Zhu Qun, Yin Zhonggang, Zhang Yanqing, et al.Research on two-degree-of-freedom internal model control strategy for induction motor based on immune algorithm[J]. IEEE Transactions on Industrial Elec- tronics, 2016, 63(3): 1981-1992. |
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