基于扰动观测器补偿的高速永磁同步发电机稳压控制策略

doi:10.19595/j.cnki.1000-6753.tces.220717

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1357 KB)
输出: BibTeX | EndNote (RIS)

摘要为解决高速永磁同步发电机系统在传统双闭环控制下,负载变化时输出电压波动大,动态响应慢等问题,提出一种基于扰动观测器补偿的稳压控制方法。首先,将负载电流视为系统扰动,设计基于改进超螺旋算法的扰动观测器,并通过Lyapunov稳定理论证明了其稳定性。其次,设计二自由度PI电压外环控制器,并将扰动量前馈至电压外环的输出端,以提高输出电压对负载变化的抗扰能力。最后,基于一台高速永磁同步发电机进行了仿真与实验验证,并与传统双闭环控制进行了比较,结果表明本文所提的控制策略具有更好的动态性能和抗负载扰动的能力。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	殷生晶
	王晓琳
	张艳

关键词 ：高速永磁同步发电机, 扰动观测器, 二自由度PI, 稳定性, 抗扰性

Abstract：High-speed Permanent Magnet Synchronous Generator (HSPMSG) has the advantages of high power density, small size and light weight, it 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 of them 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 Lyapunov stability theory. Then, for further improving 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 2.5V to 0.2V, and the settling time is reduced from 20ms to 5ms when the load is suddenly changed. The simulation results fully demonstrate 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 11V and the settling time is 110ms when the conventional control method is used, while the voltage drop is reduced from 11V to 3.5V and the settling time is reduced to 42ms with the control method proposed in this paper. 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) The disturbance observer based on the improved super-twisting algorithm can observe the change of load disturbance in real time and with 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.

Key words： High-speed permanent magnet synchronous disturbance observer two-degree-of-freedom control stability immunity

PACS:

TM313

基金资助:国家自然科学基金（52177048）、江苏省自然科学基金（BK20201297）、江苏省高等学校基础科学基金（21KJB120003）资助项目

通讯作者: 王晓琳男,1976年生,教授,研究方向为永磁电机,无轴承电机,高速电机的驱动和控制。E-mail：wangxl@nuaa.edu.cn

作者简介: 殷生晶男,1993年生,博士研究生,研究方向为高速电机驱动及发电控制技术。E-mail：ysjlx0912@163.com

引用本文:

殷生晶, 王晓琳, 张艳. 基于扰动观测器补偿的高速永磁同步发电机稳压控制策略[J]. 电工技术学报, 0, (): 16-16. Yin Shengjing, Wang Xiaolin, Zhang Yan. Voltage Stabilization Control Strategy of High-Speed Permanent Magnet Synchronous Generator Based on Disturbance Observer Compensation. Transactions of China Electrotechnical Society, 0, (): 16-16.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.220717 https://dgjsxb.ces-transaction.com/CN/Y0/V/I/16

[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 Electrotechnical Society, 2017, 32(21): 169-175.
[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):89-95.
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 Electrotechnical Society, 2017, 32(21):89-95.
[5] Ovacik L, Bilgin B.Developments in voltage regulation 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 Engineering 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 Electrotechnical 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 compensation[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 Electrotechnical 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 Electronics, 2018, 65(7): 5743-5753.
[18] Zhang Xiaoguang, Hou Benshuai, Mei Yang.Deadbeat predictive current control of permanent-magnet synchronous motors with stator current and disturbance observer[J]. IEEE Transactions on Power Electronics, 2017, 32(5): 3818-3834.
[19] 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.
[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 Electronics, 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 Electronics, 2016, 63(3): 1981-1992.