An Optimized Model Predictive Flux Linkage Control without Weight Coefficient for Vehicle Motor

被引:0
|
作者
Zhang, Danping [1 ]
Zhang, Jingnan [1 ]
Zheng, Xinghua [1 ]
Zhang, Haoyang [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, 145 Nan Tong St, Harbin, Heilongjiang, Peoples R China
来源
2024 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2024 | 2024年
关键词
Model predictive control; Weight coefficient; Amount of calculation; Electric vehicles;
D O I
10.1109/ICMA61710.2024.10632942
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to eliminate the weight coefficient in the traditional model predictive torque control (MPTC) of three-phase asynchronous motor, an model predictive flux linkage control (UCMPFC) with improved value function is used by analyzing the relationship between torque and flux linkage of asynchronous motor, and the weight coefficient is eliminated. Based on UCMPFC and deadbeat control, obtain a brand-new expected voltage vector. By judging the position of the expected voltage vector, a new model predictive flux linkage control (UCMPFC2) is obtained, which decreases the quantity of traversal times, decreases the quantity of voltage vectors to be selected from 8 to 2, and decreases the calculation amount. In addition, the weak magnetic control and model predictive control algorithm are combined to broaden the speed range of the asynchronous motor for vehicle. In order to obtain as much electromagnetic torque as possible and prevent oversize three-phase current, the torque reference value is redesigned. The simulation results display that the used method has great control performance
引用
收藏
页码:1025 / 1030
页数:6
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