基于自适应超螺旋滑模观测器的三相Vienna整流器无模型预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.222213

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (4577 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要三相Vienna整流器具有不需要考虑开关死区、可靠性高等优点,但参数易受外部扰动影响而导致控制性能下降。针对这些问题,该文提出一种基于自适应超螺旋滑模观测器的无模型预测电流控制策略（ASTSMO-MFPCC）。首先,通过分析三相Vienna整流器参数失配数学模型,构建不依赖系统物理参数的超局部模型。其次,设计超螺旋滑模观测器估计超局部模型中的动态部分,有效抑制系统扰动影响。同时,设计自适应增益,动态调整超螺旋滑模观测器参数,解决增益选择难题。最后,构建离散化预测模型和成本函数,实现无模型预测电流控制算法。仿真与实验结果表明,所提策略具有良好的鲁棒性和动稳态性能。

	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
	汪凤翔
	杨奥
	于新红
	张祯滨
	王高林

关键词 ： Vienna整流器, 超螺旋滑模观测器, 无模型预测电流控制

Abstract：The three-phase Vienna rectifier is widely used in communication power supply, wind power generation, and electric drive due to its advantages of no dead zone between the same switch bridge, high reliability, and low harmonic content of input current. The traditional control methods applied in Vienna rectifiers mainly include proportional-integral (PI), single-period control, etc. These traditional control methods have simple principles and convenient designs. However, with the increasing requirement of Vienna rectifier performance and the increasing complexity of the application, the traditional control method is difficult to obtain a satisfactory control effect. In order to improve the control performance of the Vienna rectifier under the complex environment, a model-free predictive current control strategy based on adaptive super-twisting sliding mode observer (ASTSMO-MFPCC) is proposed.
Firstly, an ultra-local model independent of system physical parameters is constructed by analyzing the mathematical model under the condition of model mismatch. Secondly, a super-twisting sliding mode observer is designed to estimate the unknown part of the ultra-local model, which can effectively suppress the influence of system disturbance. At the same time, an adaptive gain was designed to dynamically adjust the parameters of the super-twisting sliding mode observe to solve the gain selection problem. Finally, a two-step predictive cost function is constructed to realize the model-free predictive current control. To validate the performance of ASTSMO-MFPCC, a model-free predictive current control algorithm based on traditional sliding mode observer (SMO-MFPCC) is realized and compared under steady-state, dynamic, and parameter mismatch conditions. The simulation and experimental results show that the bus voltage of the ASTSMO-MFPCC algorithm can reach the steady state faster, and the amplitude of voltage change is small in the given voltage and load mutation experiments. From the simulation results of load mutation, it can be found that the observer parameters can adjust adaptively after the load changes. In the steady-state experiment, the A-phase current THD of SMO-MFPCC is 6.7%, while that of the ASTSMO-MFPCC algorithm is only 4.26%. In the parameter mismatch experiment, the D-axis current of SMO-MFPCC has a significant change and needs a long time to stabilize, and the current fluctuation is as high as 2.7 A. The ASTSMO-MFPCC has a smaller change in D-axis current, and the current fluctuation is only 2.1 A. According to the simulation results of inductance parameter mutation, the chattering observed by the adaptive super-twisting sliding mode observer is significantly smaller.
Simulation and experimental results verify the feasibility and correctness of the proposed method, and the following conclusions are drawn: (1) This strategy combines model-free control with predictive control so that the system is independent of the exact physical parameters of the rectifier during operation. (2) The control performance degradation problem of a system caused by the chattering of the traditional sliding mode observer is solved, and the disturbance suppression ability is improved. At the same time, the adaptive gain is designed, and the observer parameters are adjusted dynamically to simplify the gain selection effectively. (3) The comprehensive comparison with the SMO-MFPCC method confirms that the ASTMO-MFPCC strategy has better dynamic and stable performance and anti-interference ability.

Key words： Vienna rectifier super-twisting sliding mode observer model-free predictive current control

收稿日期: 2022-11-25

PACS:

TM46

基金资助:国家自然科学基金项目（52277070）和福建省科技计划项目对外合作项目（2021I0039）资助

通讯作者: 于新红男,1989年生,工程师,研究方向为电力电子技术。E-mail: xinhong.yu@fjirsm.ac.cn

作者简介: 汪凤翔男,1982年生,研究员,博士生导师,研究方向为电机驱动与电力电子。E-mail: fengxiang.wang@fjirsm.ac.cn

引用本文:

汪凤翔, 杨奥, 于新红, 张祯滨, 王高林. 基于自适应超螺旋滑模观测器的三相Vienna整流器无模型预测电流控制[J]. 电工技术学报, 2024, 39(6): 1859-1870. Wang Fengxiang, Yang Ao, Yu Xinhong, Zhang Zhenbin, Wang Gaolin. Model-Free Predictive Current Control for Three-Phase Vienna Rectifier Based on Adaptive Super-Twisting Sliding Mode Observer. Transactions of China Electrotechnical Society, 2024, 39(6): 1859-1870.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.222213 https://dgjsxb.ces-transaction.com/CN/Y2024/V39/I6/1859

[1] Singh B, Singh B N, Chandra A, et al.A review of three-phase improved power quality AC-DC con- verters[J]. IEEE Transactions on Industrial Electro- nics, 2004, 51(3): 641-660.
[2] Chen Hao, Aliprantis D C.Analysis of squirrel-cage induction generator with Vienna rectifier for wind energy conversion system[J]. IEEE Transactions on Energy Conversion, 2011, 26(3): 967-975.
[3] Kolar J W, Zach F C.A novel three-phase utility interface minimizing line current harmonics of high- power telecommunications rectifier modules[J]. IEEE Transactions on Industrial Electronics, 1997, 44(4): 456-467.
[4] Foureaux N C, Oliveira J H, de Oliveira F D, et al. Command generation for wide-range operation of hysteresis-controlled Vienna rectifiers[J]. IEEE Transa- ctions on Industry Applications, 2015, 51(3): 2373-2380.
[5] 韦徵, 陈新, 陈杰, 等. 输入电压不平衡时三相PFC整流器改进单周期控制策略研究[J]. 电工技术学报, 2014, 29(10): 65-72.
Wei Zheng, Chen Xin, Chen Jie, et al.Modified one-cycle controlled three-phase PFC rectifier under unbalanced input-voltage conditions[J]. Transactions of China Electrotechnical Society, 2014, 29(10): 65-72.
[6] 郭文杰, 林飞, 郑琼林. 三相电压型PWM整流器的级联式非线性PI控制[J]. 中国电机工程学报, 2006, 26(2): 138-142.
Guo Wenjie, Lin Fei, Zheng Qionglin.The cascaded nonlinear PI control for three-phase votagle source PWM rectifier[J]. Proceedings of the CSEE, 2006, 26(2): 138-142.
[7] Xu Bo, Liu Kaipei, Ran Xiaohong.Computationally efficient optimal switching sequence model predictive control for three-phase Vienna rectifier under balanced and unbalanced DC links[J]. IEEE Transactions on Power Electronics, 2021, 36(11): 12268-12280.
[8] 马辉, 谢运祥. 基于滑模变结构的Vienna整流器新型双闭环控制策略研究[J]. 电工技术学报, 2015, 30(12): 143-151.
Ma Hui, Xie Yunxiang.A novel dual closed-loop control strategy based on sliding-mode variable structure of Vienna-type rectifier[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 143-151.
[9] Qiu Xiaonan, Li Yinghui, Xu Haojun, et al.A dual closed-loop control strategy research based on sliding mode control for Vienna rectifier[C]//2021 Inter- national Conference on Control Science and Electric Power Systems (CSEPS), Shanghai, 2021: 20-24.
[10] Liang Donglai, Li Jian, Qu Ronghai.Sensorless control of permanent magnet synchronous machine based on second-order sliding-mode observer with online resistance estimation[J]. IEEE Transactions on Industry Applications, 2017, 53(4): 3672-3682.
[11] Chalanga A, Kamal S, Fridman L M, et al.Imple- mentation of super-twisting control: super-twisting and higher order sliding-mode observer-based app- roaches[J]. IEEE Transactions on Industrial Electro- nics, 2016, 63(6): 3677-3685.
[12] 吴宇, 皇甫宜耿, 张琳, 等. 大扰动Buck-Boost变换器的鲁棒高阶滑模控制[J]. 中国电机工程学报, 2015, 35(7): 1740-1748.
Wu Yu, Huangfu Yigeng, Zhang Lin, et al.A robust high order sliding mode for Buck-Boost converters with large disturbances[J]. Proceedings of the CSEE, 2015, 35(7): 1740-1748.
[13] Moreno J A, Osorio M.A Lyapunov approach to second-order sliding mode controllers and obser- vers[C]//2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2009: 2856-2861.
[14] Vazquez S, Rodriguez J, Rivera M, et al.Model predictive control for power converters and drives: advances and trends[J]. IEEE Transactions on Indu- strial Electronics, 2017, 64(2): 935-947.
[15] Wang Fengxiang, Xie Haotian, Chen Qing, et al.Parallel predictive torque control for induction machines without weighting factors[J]. IEEE Transa- ctions on Power Electronics, 2020, 35(2): 1779-1788.
[16] Rodriguez J, Kazmierkowski M P, Espinoza J R, et al.State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Industrial Informatics, 2013, 9(2): 1003-1016.
[17] 余晨辉, 汪凤翔, 林贵应. 基于在线扰动补偿的三电平PWM整流器级联式无差拍控制策略[J]. 电工技术学报, 2022, 37(4): 954-963.
Yu Chenhui, Wang Fengxiang, Lin Guiying.Cas- caded deadbeat control strategy with online dis- turbance compensation for three-level PWM rectifier[J]. Transactions of China Electrotechnical Society, 2022, 37(4): 954-963.
[18] Fliess M, Join C.Model-free control[J]. International Journal of Control, 2013, 86(12): 2228-2252.
[19] González-Castaño C, Flores-Bahamonde F, Young H, et al.Model-free predictive control based on ARX representation: a comparative assessment with proportional-integral regulator[C]//2021 IEEE Inter- national Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2022: 953-958.
[20] Ma Chenwei, Li Huayu, Yao Xuliang, et al.An improved model-free predictive current control with advanced current gradient updating mechanism[J]. IEEE Transactions on Industrial Electronics, 2021, 68(12): 11968-11979.
[21] 赵凯辉, 周瑞睿, 冷傲杰, 等. 一种永磁同步电机的有限集无模型容错预测控制算法[J]. 电工技术学报, 2021, 36(1): 27-38.
Zhao Kaihui, Zhou Ruirui, Leng Aojie, et al.Finite control set model-free fault-tolerant predictive control for permanent magnet synchronous motor[J]. Transa- ctions of China Electrotechnical Society, 2021, 36(1): 27-38.
[22] Shtessel Y B, Moreno J A, Plestan F, et al.Super-twisting adaptive sliding mode control: a Lyapunov design[C]//49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 2011: 5109-5113.