Estimation Techniques for Sensorless Speed Control of Induction Motor Drive

Author

Brandstetter, Pavel ; Kuchar, Martin ; Vinklarek, David

Author_Institution

Dept. of Power Electron. & Electr. Drives, Tech. Univ. of Ostrava

Volume

1

fYear

2006

fDate

9-13 July 2006

Firstpage

154

Lastpage

159

Abstract

Rotor position and speed sensors are required for vector control of induction motor. These sensors are sources of trouble, mainly in hostile environments, and their application reduces the drive robustness. The cost of the sensors is not also negligible. All the reasons lead to development of different sensorless methods for rotor position and mechanical speed estimation in electrical drives. The paper deals with the speed estimators for applications in sensorless induction motor drive with vector control, which are based on application of Kalman filter and artificial neural network. The development and DSP implementation of the speed estimators for applications in sensorless drives with induction motor are described in the paper

Keywords

Kalman filters; angular velocity control; digital signal processing chips; induction motor drives; machine vector control; neurocontrollers; power filters; DSP; Kalman filter; artificial neural network; estimation techniques; induction motor drive; mechanical speed estimation; rotor position; sensorless speed control; vector control; Artificial neural networks; Costs; Digital signal processing; Induction motor drives; Induction motors; Machine vector control; Mechanical sensors; Robustness; Rotors; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295584

Filename

4077915