Efficiency Optimization of Two-Asymmetrical-Winding Induction Motor Based on Swarm Intelligence

被引：19

作者：

Amin, Amr M. A. ^{[1
]}

El Korfally, Mohamed I. ^{[1
]}

Sayed, Abdallah A. ^{[1
]}

Hegazy, Omar T. M. ^{[1
]}

机构：

[1] Helwan Univ, Dept Power & Elect Machines, Fac Engn, Cairo 11790, Egypt

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 2009年 / 24卷 / 01期

关键词：

Field orientations; inverter circuits; losses minimization control; mathematical model of the two-phase induction motor; motor losses; particle swarm optimization (PSO);

D O I：

10.1109/TEC.2008.2011831

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：

080707 [能源环境工程]; 082001 [油气井工程];

摘要：

In this paper, applying field orientation based on particle swarm optimization (PSO) controls the speed of two-asymmetrical-winding induction motor. The maximum efficiency of the motor is obtained by the evaluation of optimal rotor flux at any operating point. In addition, the electromagnetic torque is also improved while maintaining a fast dynamic response. In this research, a novel approach is used to evaluate the optimal rotor flux level. This approach is based on PSO. This research presents two speed control strategies. These are field-oriented controller (FOC) and FOC based on PSO. The strategies are implemented mathematically and experimentally. The simulation and experimental results have demonstrated that the FOC based on PSO method saves more energy than the conventional FOC method.

引用

页码：12 / 20

页数：9

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