Universiti Teknologi Malaysia Institutional Repository

Neural network efficiency optimization control of a variable speed compressor motor drive

Yatim, Abdul Halim Mohamad and Utomo, W. M. (2007) Neural network efficiency optimization control of a variable speed compressor motor drive. In: Proceedings of IEEE International Electric Machines and Drives Conference, IEMDC 2007 .

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Official URL: http://dx.doi.org/10.1109/IEMDC.2007.383689

Abstract

This paper presents a new method of improving the energy efficiency of a variable speed drive (VSD) for induction motors. The efficiency of induction motor at low load operation and at rated flux is very low compared when operating at full load due to excessively increase in iron losses. To improve this efficiency, it is essential to obtain the flux level that minimizes the total motor losses. In this paper, the proposed controller is designed to generate both the voltage and frequency reference signals simultaneously. The proposed controller was simulated for variable speed compressor application. The results obtained clearly show that the efficiency at low speed is significantly increased. Besides that the speed of the motor can be maintained. The simulation results are also verified by experiment

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Induction motor, efficiency optimization control, losses such as stray losses and iron losses are also very neural network control
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7314
Deposited By: Nur Amal Zakiah Shamsudin
Deposited On:02 Jan 2009 07:16
Last Modified:01 Jun 2010 15:50

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