Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems

被引：19

作者：

Bouguenna, Ibrahim Farouk ^{[1
]}

Tahour, Ahmed ^{[2
]}

Kennel, Ralph ^{[3
]}

Abdelrahem, Mohamed ^{[3
,4
]}

机构：

[1] Univ Mascara, Inst Elect Engn, Mascara 29000, Algeria

[2] Higher Sch Appl Sci, Tilimsen 13000, Algeria

[3] Tech Univ Munchen TUM, Inst Elect Drive Syst & Power Elect EAL, D-80333 Munich, Germany

[4] Assiut Univ, Dept Elect Engn, Fac Engn, Assiut 71516, Egypt

来源：

ENERGIES | 2021年 / 14卷 / 06期

关键词：

model predictive control; fuzzy logic controller; multiple-vector; deadbeat function; DIRECT TORQUE CONTROL; OBSERVER; MOTOR;

D O I：

10.3390/en14061727

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 article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter's real voltage vectors are utilized along with new virtual voltage vectors to form switching sequences for each sampling period in order to improve the steady-state performance. Furthermore, to obtain the reference voltage vector (VV) directly from the reference current and to reduce the calculation load of the proposed MV-FCS-MPC technique, a deadbeat function (DB) is added. Subsequently, the best real or virtual voltage vector to be applied in the next sampling instant is selected based on a certain cost function. Moreover, a fuzzy logic controller is employed in the outer loop for controlling the speed of the rotor. Accordingly, the dynamic response of the speed is improved and the difficulty of the proportional-integral (PI) controller tuning is avoided. The response of the suggested technique is verified by simulation results and compared with that of the conventional FCS-MPC.

引用

页数：23