A neural observer for sensorless speed control of servomotors. Issue 8 (28th October 2014)

• Record Type: Journal Article
• Authors: Meen, Teen-Hang; D. Prior, Steven; Donald Kin-Tak Lam, Artde; Horng, Jenq-Ruey; Wang, Ming-Shyan; Lai, Tai-Rung; Berinde, Sergiu
• Is Part Of: Engineering computations. Volume 31:Issue 8(2014)
• Page Start: 1668
• Page End: 1678
• Publication Date: 2014-10-28
• Subjects: Computer-aided engineering -- Periodicals; Computer graphics -- Periodicals; 620.00285
• DOI: 10.1108/EC-11-2012-0289
• Languages: English
• ISSNs: 0264-4401

Abstract

<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – Extensive efforts have been conducted on the elimination of position sensors in servomotor control. The purpose of this paper is to aim at estimating the servomotor speed without using position sensors and the knowledge of its parameters by artificial neural networks (ANNs). </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – A neural speed observer based on the Elman neural network (NN) structure takes only motor voltages and currents as inputs. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – After offline NNs training, the observer is incorporated into a DSP-based drive and sensorless control is achieved. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – Future work will consider to reduce the computation time for NNs training and to adaptively tune parameters on line. </p> </sec> <sec> <title content-type="abstract-heading">Practical implications</title> <p> – The experimental results of the proposed method are presented to show the effectiveness. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – This paper achieves sensorless servomotor control by ANNs which are seldom studied.</p> </sec> </abstract>