Heuristic Finite-Set Model Predictive Current Control for Induction Machines

被引：0

作者：

Stolze, Peter ^{[1
]}

Tomlinson, Males ^{[2
]}

Kennel, Ralph ^{[1
]}

Mouton, Toit ^{[2
]}

机构：

[1] Tech Univ Munich, Inst Elect Dr Syst & Power Elect, D-80290 Munich, Germany

[2] Univ Stellenbosch, Stellenbosch, South Africa

来源：

2013 IEEE ECCE ASIA DOWNUNDER (ECCE ASIA) | 2013年

关键词：

TORQUE CONTROL; INVERTER;

D O I：

暂无

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 paper presents a heuristic Finite-Set Model Predictive Control (FS-MPC) strategy for current control of induction machines. FS-MPC methods are very intuitive and easy to understand; furthermore, they in general offer the possibility to control any nonlinear system with arbitrary user-defined terms in the cost function and do not require a modulator. One of their most important drawbacks is the necessary calculation effort which rises exponentially with the prediction horizon. Especially for multilevel inverters this can be a crucial factor for a successful real-time implementation. The proposed heuristic strategy for reducing the calculation effort can also be extended to multilevel inverters. The algorithm is verified experimentally for FS-MPC current control of an induction machine with three prediction steps.

引用

页码：1221 / 1226

页数：6

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