Design and experimental verification of a 72/48 switched reluctance motor for low-speed direct-drive mining applications


Typically, a geared drive system is used to connect an induction motor of 1500 rpm with a Raymond Pulverizer of 105 rpm in mining applications. This system suffers from low efficiency and a heavy motor drive. This paper proposes a novel design of a 75 kW, 72/48 switched reluctance motor (SRM) for a low-speed direct-drive as for mining applications. The paper is focused on the design and comparative evaluation of the proposed machine in order to replace a geared drive system whilst providing a high torque low-speed and direct-drive solution. The machine performance is studied and the switching angle configuration of the machine is also optimised. The efficiency of the whole drive system is found to be as high as 90.19%, whereas the geared induction motor drive provides only an efficiency of 59.32% under similar operating conditions. An SRM prototype was built and experimentally tested. Simulation and experimental results show that the drive system has better performance to substitute the induction motor option in mining applications. c 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
Additional Information: ©2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Uncontrolled Keywords: Direct drive,Geared motor drive,Low speed,Raymond Pulveriser,Switched reluctance motor,Turn-on and turn-off angles,Renewable Energy, Sustainability and the Environment,Energy Engineering and Power Technology,Energy (miscellaneous),Control and Optimization,Electrical and Electronic Engineering
Publication ISSN: 1996-1073
Last Modified: 08 Jan 2024 08:53
Date Deposited: 05 Nov 2018 10:06
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2018-01-12
Accepted Date: 2018-01-10
Authors: Elhomdy, Esmail
Li, Guofeng
Liu, Jiang
Bukhari, Syed Abid
Cao, Wen Ping (ORCID Profile 0000-0002-8133-3020)



Version: Published Version

License: Creative Commons Attribution

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