Title: ELM-based sensorless speed control of permanent magnet synchronous machine

Authors: Vikas Kumar; Prerna Gaur; A.P. Mittal; Bhim Singh

Addresses: Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology (NSIT), Azad Hind Fauj Marg, Sector-3, Dwarka, New Delhi 110078, India ' Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology (NSIT), Azad Hind Fauj Marg, Sector-3, Dwarka, New Delhi 110078, India ' Netaji Subhas Institute of Technology (NSIT), Azad Hind Fauj Marg, Sector-3, Dwarka, New Delhi 110078, India ' Electrical Engineering Department, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi 110016, India

Abstract: This paper deals with Extreme Learning Machine (ELM) based sensorless speed estimation and speed control of Permanent Magnet Synchronous Machines (PMSMs). ELM, first proposed by G.B. Huang as a new class of learning algorithm for Single-Hidden Layer Feedforward Neural Networks (SLFNs), is extremely fast and accurate, and has better generalisation performance than the traditional gradient-based training methods. To implement Field-Oriented Control (FOC) in PMSMs, the stator magnetic field is always kept 90 degrees ahead of the rotor. This requires rotor position information all the time. This information is accurately obtained with an ELM-based observer without the position sensor for PMSMs, and hence, the cost of the system is reduced, while the problems associated with the sensors are minimised.

Keywords: artificial neural networks; ANNs; ELM; extreme learning machine; PMSM; permanent magnet synchronous motors; back propagation; sensorless control; speed control; rotor position.

DOI: 10.1504/IJVAS.2013.053779

International Journal of Vehicle Autonomous Systems, 2013 Vol.11 No.2/3, pp.190 - 204

Received: 23 Jun 2011
Accepted: 31 Aug 2011
Published online: 30 Sep 2014 *

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