Speed estimation of vector controlled squirrel cage asynchronous motor with artificial neural networks

被引：34

作者：

Oguz, Yuksel ^{[1
]}

Dede, Mehmet ^{[1
]}

机构：

[1] Afyon Kocatepe Univ, Fac Tech Educ, Dept Elect Educ, Afyon, Turkey

来源：

ENERGY CONVERSION AND MANAGEMENT | 2011年 / 52卷 / 01期

关键词：

Vector control; Asynchronous motor; Speed estimation; Artificial neural networks; SLIDING-MODE OBSERVER; INDUCTION-MOTOR; SENSORLESS CONTROL; ROTOR RESISTANCE; TORQUE CONTROL; AC MACHINES; FLUX; IMPLEMENTATION; DRIVE; PARAMETERS;

D O I：

10.1016/j.enconman.2010.07.046

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, the artificial neural networks as a sensorless speed estimator in indirect vector controlled squirrel cage asynchronous motor control are defined. High dynamic performance power semi conductors obtainable from direct current motors can also be obtained from asynchronous motor through developments in digital signal processors (DSP) and control techniques. With using of field diverting control in asynchronous motors, the flux and moment can be controlled independently. The process of estimating the speed information required in control of vector controlled asynchronous motor without sensors has been obtained with artificial neural networks (ANN) in this study. By examining the data obtained from the experimental study concluded on the DSP application circuit, the validity and high performance of the ANN speed estimator on real-time speed estimation has been demonstrated. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：675 / 686

页数：12

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