Optimal control of PMSMs using model predictive control

被引:0
|
作者
Matsutani, Shintaro [1 ]
Zanma, Tadanao [1 ]
Kawai, Kenji [1 ]
Ishida, Muneaki [1 ]
Imura, Akihiro [2 ]
Fujitsuna, Masami [2 ]
机构
[1] Mie Univ, Grad Sch Engn, 1577 Kurimamachiya, Tsu, Mie 5148507, Japan
[2] Denso Corp, Kariya, Aichi 4488661, Japan
来源
IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS | 2008年
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D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Permanent magnet synchronous motors (PMSM) have been receiving much attention. In conventional current control systems, the inverter is regarded as an ideal amplifier. In this paper, we propose a novel model predictive control (MPC) based current control system that improves performance in cases where the inverter cannot provide the appropriate input. The effectiveness of the proposed method is illustrated through simulations and experiments. From a practical point of view, the computation delay must be considered. Thus, a modified control method is also proposed in order to improve performance of the system, the effectiveness of which is also shown through simulations and experiments.
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页码:1252 / +
页数:2
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