Smallest Control Invariant Set and Error Boundaries of FCS-MPC for PMSM

被引:0
|
作者
Yong, Xiaoqing [1 ]
Preindl, Matthias [1 ]
机构
[1] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
来源
2017 THIRTY SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC) | 2017年
关键词
Finite control set; model predictive control; PMSM; control invariant set; MODEL-PREDICTIVE CONTROL; SWITCHING FREQUENCY REDUCTION; INVERTERS; SYSTEMS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper studies the steady-state behavior of Finite Control Set (FCS) Model Predictive Control (MPC) for permanent-magnet synchronous machine (PMSM). The control actuation is formulated as a trajectory tracking problem in the alpha beta stator flux space. The concept of set stability and Control Invariant Set (CIS) is used to determine the smallest possible current, i.e. flux ripple. The best achievable steady state region of the control error is proposed and validated, revealing the maximum switching performance of FCS-MPC. The upper bound of the control error is achieved by constructing a CIS with respect to any reference defined on the equilibrium operating points. The proposed analysis has direct applications since it can be used to predict and optimize the current ripple in real time. Another application is the variation of the sampling frequency to achieve maximum ripple requirements at minimum switching losses.
引用
收藏
页码:1203 / 1208
页数:6
相关论文
共 50 条
  • [41] A FCS-MPC of an Induction Motor Fed by Indirect Matrix Converter with Unity Power Factor Control
    Uddin, S. M. Muslem
    Mekhilef, Saad
    Rivera, M.
    Rodriguez, J.
    PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 1769 - 1774
  • [42] Position synchronization control of multi-motor drive system based on FCS-MPC and RPCSC
    Zhang, Xiuyun
    Wang, Zhiqiang
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 3964 - 3968
  • [43] Comparative study of FCS-MPC and PWM control techniques for autonomous four-leg VSI
    Aboelsaud R.
    Garganeev A.G.
    Ibrahim A.
    International Journal of Power Electronics, 2021, 14 (02) : 180 - 196
  • [44] Electrothermal Performance-Based FCS-MPC for Dynamic Thermal Balance Control of Traction Converters
    Yang, Chao
    Peng, Tao
    Huang, Xiaolin
    Fan, Xinyu
    Tao, Hongwei
    Yang, Chunhua
    Gui, Weihua
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (01): : 277 - 287
  • [45] Study on an Improve Finite-Control-Set -Model Predictive Control (FCS-MPC) Strategy for a T-Type Rectifier with Direct Power Control Strategy
    Wang, Hanwei
    Zhang, Hui
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2023, 18 (03) : 442 - 450
  • [46] Long-Prediction Horizon FCS-MPC for Multiphase Electric Drives With a Selective Control Action Promotion
    Carrillo-Rios, Juan
    Gonzalez-Prieto, Ignacio
    Gonzalez-Prieto, Angel
    Duran, Mario J.
    Aciego, Juan Jose
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (09) : 9982 - 9993
  • [47] FCS-MPC Current Control of Parallel Photovoltaic Grid Connected Inverter with Common AC and DC Buses
    Bella, S.
    Houari, A.
    Djerioui, A.
    Machmoum, M.
    Chouder, A.
    Benkhoris, M-F.
    Ghedamsi, K.
    2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019, : 1138 - 1143
  • [48] 基于ESO的无速度传感器PMSM系统自适应滑模FCS-MPC
    张斌
    许伟奇
    李坤奇
    控制与决策 , 2018, (06) : 999 - 1007
  • [49] A Computationally Efficient FCS-MPC Method Without Weighting Factors for NNPCs With Optimal Duty Cycle Control
    Liu, Xing
    Wang, Dan
    Peng, Zhouhua
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (05) : 2503 - 2514
  • [50] Research on Flux-weakening Control Strategy for Interior Permanent Magnet Synchronous Motor Based on FCS-MPC
    Liu, Xijun
    Gu, Aiyu
    Yang, Mingjie
    Ren, Yongkang
    Pang, Chengjie
    Fu, Liquang
    2022 IEEE 9TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS, PESA, 2022,