Neural network mapping of hybrid FOC-DTC induction motor drive

Author

Sakarung, Preecha ; Chatratana, Somchai

Author_Institution

Dept. of Electr. Eng., Dhurakijpundit Univ., Thailand

Volume

D

fYear

2004

fDate

21-24 Nov. 2004

Firstpage

467

Abstract

This paper presents the mapping of a hybrid of two most popular control strategies for induction motor drive: field oriented control (FOC) and direct torque control (DTC), with the multilayer feedforward neural network. One neural network is used to map FOC scheme and another network is used to map DTC scheme. The training is made separately with the input-output data obtained from the simulation result of the structural based models. Two trained networks are combined to represent the neural network hybrid control (NNHC). The criterion for switching between the two control schemes is the operating speed of the motor. The simulation results show that this proposed scheme is characterized by fast dynamic performance and good steady state characteristic. Real time implementation of NNHC scheme is discussed.

Keywords

angular velocity control; electric machine analysis computing; feedforward neural nets; induction motor drives; machine vector control; torque control; control strategies; direct torque control; fast dynamic performance; field oriented control; induction motor drive; motor speed control; multilayer feedforward neural network; neural network hybrid control; neural network mapping; real time implementation; steady state characteristic; structural based models; Induction motor drives; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2004. 2004 IEEE Region 10 Conference

Print_ISBN

0-7803-8560-8

Type

conf

DOI

10.1109/TENCON.2004.1414971

Filename

1414971