Efficiency optimization of a vector controlled induction motor drive using an artificial neural network

E S Abdin; G A Ghoneem; HMM Diab; S A Deraz; IEEE

doi:10.1109/IECON.2003.1280646

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Conference proceeding

Efficiency optimization of a vector controlled induction motor drive using an artificial neural network

E S Abdin, G A Ghoneem, HMM Diab, S A Deraz and IEEE

IECON'03: THE 29TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1 - 3, PROCEEDINGS, Vol.3, pp.2543-2548

IEEE Industrial Electronics Society

01/01/2003

DOI: https://doi.org/10.1109/IECON.2003.1280646

Abstract

Automation & Control Systems

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

This paper presents an approach for efficiency optimization of a vector controlled induction motor drive. The optimum flux-producing current is obtained using an artificial neural network. The artificial neural network model is established using Matlab/Simulink and based on the load torque and speed data of an indirect vector-controlled induction motor drive. The change of iron core loss resistance due to flux and frequency variation is taken into consideration. Simulation results of the proposed approach show a significant improvement in energy saving and efficiency optimization.

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Title: Efficiency optimization of a vector controlled induction motor drive using an artificial neural network
Creators - without role: E S Abdin - Menoufia University
G A Ghoneem - Menoufia University
HMM Diab
S A Deraz - Menoufia University
IEEE
Publication Details: IECON'03: THE 29TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1 - 3, PROCEEDINGS, Vol.3, pp.2543-2548
Series: IEEE Industrial Electronics Society
Publisher: IEEE
Number of pages: 6
Identifiers: 9935157508331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Conference proceeding