Vol.:(0123456789)
Transactions of the Indian National Academy of Engineering
https://doi.org/10.1007/s41403-020-00184-w
123
REVIEW ARTICLE
A Novel Modeling Approach for a Switched Reluctance Machine
for Multi‑Quadrant Operation
Swagata Mapa
1
· G. Bhuvaneswari
1
Received: 4 July 2020 / Accepted: 27 October 2020
© Indian National Academy of Engineering 2020
Abstract
Switched reluctance machine (SRM) is robust in nature as its rotor is devoid of permanent magnets and rotor windings. It is
capable of operating in a wide range of speeds and ofers an excellent dynamic response when appropriate power converters
and control techniques are employed for its operation. These qualities make SRM, one of the best choices for electric vehi-
cle (EV) applications. Due to its extremely non-linear characteristics, accurate modelling of an SRM is a challenging task.
This paper frst discusses an experimental technique to determine the parameters of the SRM accurately and subsequently
presents precise modeling of the machine using these experimentally obtained parameters. Two methods of modeling an
SRM are discussed along with an objective comparison brought out clearly not only between the two models but also with
the performance of a laboratory prototype. A novel modifcation has been incorporated, to accommodate the saturation
phenomenon of the machine, while developing the linear model for the SRM. Detailed analysis of the two types of models
in the same operating zones is carried out, and their results are compared with the actual experimental results to ascertain
the accuracy of the developed models.
Keywords Non-linear model · Linear model · Variable inductance · Switched reluctance machine
Introduction
The transportation sector is at the outset of a major revolu-
tion because of the increasing oil prices and carbon diox-
ide induced climate change afecting the globe adversely
(Du and Ouyang 2013). This is the reason why research on
electric vehicles (EVs) is progressing in a focused manner.
Any EV should satisfy primarily two requirements, namely,
extremely good efficiency and excellent controllability.
Switched reluctance motors ft the bill exactly because of
their high torque to inertia ratio, exceptional reliability
owing to fault-tolerant structure, good controllability due to
the availability of power converters and maintenance-free
operation caused by the rugged rotor structure (Miller 2001;
Mihic et al. 2017; Lee et al. 2017; Kachapornkul et al. 2007;
Pindoriya et al. 2018; Bukhari et al. 2019).
SRM is smaller in size (for a given kW rating as com-
pared to the other conventional electrical machines) and
is capable of operating in a wide range of speed; so, it is
the natural choice in the feld of aerospace and automotive
systems. Owing to its constructional features and due to its
being mostly operated in the magnetic saturation region to
obtain higher torque output and efciency, SRM behaves
in a highly non-linear manner. Thus, to model, analyze,
and understand its performance, accurate estimation of its
static electromagnetic characteristics is necessary, which is
normally accomplished using fnite element (FE) analysis
(Arumugam et al. 1985; Sun et al. 2019). But, for carrying
out FE analysis, accurate knowledge of the internal dimen-
sions of the machine, such as stator pole arc length, rotor
pole arc length and width of the airgap, are essential, apart
from knowing the magnetic property of the material of the
core and the number of turns in each of the phase wind-
ings. Determining the fux linkage characteristics of an SRM
experimentally is very involved (Krishnan and Materu 1989;
Sharma et al. 1999). As the fux linkage characteristics play
a vital role in the capability of an SRM, its magnetic circuit
design is of paramount importance.
Electric transportation sector is highly competitive which
makes it important to estimate the system performance
realistically. When the performance is to be evaluated, it
* Swagata Mapa
swagata17.iitd@gmail.com
1
Electrical Engineering Department, Indian Institute
of Technology Delhi, New Delhi 110016, India