电工技术学报  2024, Vol. 39 Issue (6): 1859-1870    DOI: 10.19595/j.cnki.1000-6753.tces.222213
电力电子 |
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
汪凤翔1,2, 杨奥1, 于新红2, 张祯滨3, 王高林4
1.福州大学先进制造学院 泉州 362200;
2.电机驱动与功率电子国家地方联合工程研究中心 (中国科学院海西研究院泉州装备制造研究中心) 泉州 362216;
3.山东大学电气工程学院 济南 250061;
4.哈尔滨工业大学电气工程及自动化学院 哈尔滨 150001
Model-Free Predictive Current Control for Three-Phase Vienna Rectifier Based on Adaptive Super-Twisting Sliding Mode Observer
Wang Fengxiang1,2, Yang Ao1, Yu Xinhong2, Zhang Zhenbin3, Wang Gaolin4
1. School of Advanced Manufacturing Fuzhou University Quanzhou 362200 China;
2. National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics Quanzhou Institute of Equipment Manufacturing Haixi Institute CAS Quanzhou 362216 China;
3. School of Electrical Engineering Shandong University Jinan 250061 China;
4. School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China
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 wordsVienna 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