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

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

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10632942
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
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article

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

Danping Zhang, Haoyang Zhang, Jingnan Zhang, Xinghua Zheng
Vehicle Dynamics and Control Systems
article

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

Danping Zhang, Haoyang Zhang, Jingnan Zhang, Xinghua Zheng
article en

Abstract

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

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Vehicle Dynamics and Control Systems
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An Optimized Model Predictive Flux Linkage Control without Weight Coefficient for Vehicle Motor — Danping Zhang, Haoyang Zhang, et al. · (2024) | TGRS Research Map | TGRS