华南理工大学学报(自然科学版) ›› 2018, Vol. 46 ›› Issue (10): 9-14.doi: 10.3969/j.issn.1000-565X.2018.10.002

• 能源、动力与电气工程 • 上一篇    下一篇

有限集模型预测控制在 VIENNA 整流器中的应用

杜贵平 杜发达   

  1. 华南理工大学 电力学院
  • 收稿日期:2018-02-20 修回日期:2018-05-07 出版日期:2018-10-25 发布日期:2018-09-01
  • 通信作者: 杜贵平( 1968-) ,男,博士,研究员,主要从事大功率电能变换技术研究 E-mail:gpdu@scut.edu.cn
  • 作者简介:杜贵平( 1968-) ,男,博士,研究员,主要从事大功率电能变换技术研究
  • 基金资助:
    广东省应用型科技研发专项

Application of Finite Set Model Predictive Control in VIENNA Rectifier

 DU Guiping DU Fada   

  1. School of Electric Power,South China University of Technology
  • Received:2018-02-20 Revised:2018-05-07 Online:2018-10-25 Published:2018-09-01
  • Contact: 杜贵平( 1968-) ,男,博士,研究员,主要从事大功率电能变换技术研究 E-mail:gpdu@scut.edu.cn
  • About author:杜贵平( 1968-) ,男,博士,研究员,主要从事大功率电能变换技术研究
  • Supported by:
    Guangdong Province Applied Special Funds of Science and Technologys Research and Development 

摘要: 本文介绍了有限集模型预测控制(FCS-MPC)在三相三电平VIENNA整流器中的应用。有限集模型预测控制直接利用变换器的离散特性和开关有限特性,无需调制单元,易于添加约束项。利用有限集模型预测控制这些特点,首先建立了三相三电平VIENNA整流器的数学模型,得到有限集模型预测控制的预测模型,目标函数和滚动优化策略,在目标函数中直接加入输出侧中点电压平衡的约束项,可以直接实现中点电位平衡。搭建1.8KW实验平台验证了这一控制策略在VIENNA整流器中应用的可行性,可以实现单位功率因数,输出电压稳定和中点电位的平衡,并且系统具有较强的鲁棒性。

关键词: VIENNA 整流器, 有限集模型预测控制, 目标函数, 鲁棒性 

Abstract: The application of finite set model predictive control (FCS-MPC) in three-phase three level VIENNA rectifier is introduced in this paper. The finite set model predictive control uses the discrete characteristic of the converter and the limited switch characteristic directly. Modulation is not needed, and it is easy to add the constraint terms. With these characteristics of FCS-MPC, the mathematical model, objective function and the rolling optimization strategy of VIENNA rectifier are established. Midpoint balance constraints is added directly to the objective function. The midpoint potential balance is realized directly. A 1.8KW platform is built to verify the feasibility of this control strategy in VIENNA rectifier. It can achieve unity power factor, output voltage stability and neutral point potential balance, and the system has strong robustness.

Key words: VIENNA rectifier, finite set model predictive control, objective function, robustness

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