Finite control set model predictive direct torque control of surface permanent magnet synchronous motor

被引:0
作者
Li Y.-H. [1 ]
Liu Y. [1 ]
Meng X.-Z. [1 ]
机构
[1] School of Automobile, Chang'an University, Xi'an
来源
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2020年 / 24卷 / 08期
关键词
Calculation burden; Candidate voltage vectors; Direct torque control; Model predictive control; Predictive model; Surface permanent magnet synchronous motor;
D O I
10.15938/j.emc.2020.08.005
中图分类号
学科分类号
摘要
Aiming at the problem of weight factor design of cost function in model predictive direct torque control (MP-DTC), cost function without weight factor is proposed. The control of stator flux and torque was converted to the control of stator flux and error rates. Based on MP-DTC model of surface permanent magnet synchronous motor (SPMSM), 7 basic voltage vectors of inverter were used as candidate vectors. Simulation results testify the effectiveness of the proposed strategy. Simulation results show that, due to limitation of candidate vectors, stator flux has high ripples at dynamic state. Based on effects of voltage vectors on stator flux and torque, candidate voltage vectors set was given to satisfy the control of stator flux and torque at the same time. Simulation results show the proposed candidate vectors set can suppress stator flux ripple. In order to improve real-time performance of MP-DTC system, candidate vectors set and predictive model were simplified. And MP-DTC using different candidate voltage vectors sets and predictive models were carried out using STC89C51chip. Simulation and experimental results show the simplified candidate voltage vectors sets and predictive models can decrease calculation burden and has equivalent control performance. © 2020, Harbin University of Science and Technology Publication. All right reserved.
引用
收藏
页码:33 / 43
页数:10
相关论文
共 18 条
[1]  
CORTES P, KAZMIERKOWSKI M P, KENNEL R M, Et al., Predictive control in power electronics and drives, IEEE Trans on Industrial Electronics, 55, 12, (2008)
[2]  
RODRIGUEZ J, KENNEL R M, ESPINOZA J R, Et al., High-performance control strategies for electrical drives: an experimentalassessment, IEEE Transactions on Industrial Electronics, 59, 2, (2012)
[3]  
RODURGUZE J, KAZMIERKOWSKI M P, ESPIN J R, Et al., State of the art of finite control set model predictive control in power electronics, IEEE Transactions on Industrial Informatics, 9, 2, (2013)
[4]  
KOURO S, PEREZ M A, RODRIGUEZ J, Et al., Model predictive control: MPC's role in the evolution of power electronics, IEEE Transactions on Power Electronics, 9, 4, (2015)
[5]  
LIU Zhifei, DU Guiping, DU Fada, Research status and development trend of finite control set model predictive control in power electronics, Transactions of China Electrotechnical Society, 32, 22, (2017)
[6]  
CORTES P, KOURO S, ROCCA B L, Et al., Guidelines for weighting factors design in model predictive control of power converters and drives, Proc. IEEE ICIT, pp. 1-7, (2009)
[7]  
CHEN Zhuoyi, QIU Jianqi, JIN Mengjia, Finite control set nonparametric model predictive control for permanent magnet synchronous machines, Electric Machines and Control, 23, 1, (2019)
[8]  
DAVARI S A, KHABURI D A, KENNEL R., An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor, IEEE Trans on Power Electronics, 27, 3, (2012)
[9]  
ZHANG Yongchang, YANG Haitao, Model predictive flux control for induction motor drives, Proceedings of the CSEE, 35, (2015)
[10]  
ZHANG Xiaoguang, ZHANG Liang, HOU Benshuai, A static current error elimination algorithm for PMSM predictive current control, Proceedings of the CSEE, 37, 16, (2017)