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Neural network based speed control of induction motor with IFOC technique

Bohari, Azuwien Aida and Utomo, Wahyu Mulyo and Haron, Zainal Alam (2015) Neural network based speed control of induction motor with IFOC technique. In: International Conference on Electrical and Electronic Engineering 2015 (IC3E 2015), 10-11 August 2015 , Melaka, Malaysia.


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This paper has been focus on developing the speed tracking control strategies in order to obtain an approach of modeling the IM drives system for vector control purposes focusing on indirect field oriented control (IFOC). Artificial intelligent (AI) controller which is Neural Network (NN) controller are implemented in the SVPWM that used to generate pulse width modulation (PWM) for switching three phase inverter to provide a suitable voltage for the motor to improve the overall performance of the IFOC of IM. The validity of proposed NN IFOC of IM is shown with experimental result carried out under different condition of speed variation. The theoretical principle and the performance results for NNIFOC of IM are analyzed. It shows that the proposed online NNIFOC of IM gives better performance rather than offline NNIFOC of IM in term of settling time.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: efficiency optimization; adaptive flux control; direct torque control; motor control
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2000-2891 Dynamoelectric machinery and auxiliaries
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Power Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 26 Oct 2015 08:26
Last Modified: 26 Oct 2015 08:26
URI: http://eprints.uthm.edu.my/id/eprint/7181
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