1238 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 53, NO. 4, AUGUST 2006
Dynamic Modeling, Experimental Characterization,
and Verification for SRM Operation With
Simultaneous Two-Phase Excitation
Amit Kumar Jain, Member, IEEE, and Ned Mohan, Fellow, IEEE
Abstract—Dynamic modeling of switched reluctance motors
(SRMs) is usually done on a per-phase basis. However, in most
applications, SRMs are used with simultaneous excitation of more
than one phase. Thus, a model accounting for mutual coupling
in the presence of magnetic saturation is needed to predict and
optimize their performance in terms of efficiency and torque
ripple. This paper presents a dynamic two-phase excitation model
of the SRM. Motor symmetry is used to reduce the amount of flux
linkage data needed for the model. An experimental procedure to
obtain the flux linkage data is described. Measured flux linkage
data for the 8/6 SRM are also included. Details of the simulation
model and comparison with experimental waveforms along with
their implications for performance prediction are presented.
Index Terms—Dynamic modeling, experimental characteriza-
tion, switched reluctance motor (SRM), two-phase excitation.
I. I NTRODUCTION
F
OR dynamic simulation purposes, switched reluctance
motors (SRMs) are usually modeled on a per-phase basis
[1]. The flux linkage data utilized for the electrical equation are
obtained with current flowing in only one phase winding. The
torque generated by each phase is computed as the derivative of
the coenergy associated with that phase. The total torque is then
computed as the sum of the individual phase torques. However,
in most applications, SRMs are used with simultaneous excita-
tion of two or more phases. Thus, it is necessary to account
for mutual couplings between different phases. In addition,
since SRMs are designed to operate under magnetic saturation,
modeling of mutual effects needs to account for saturation
due to more than one phase current. A dynamic model that is
circuit oriented in nature will be useful for improved prediction
of both steady state and transient performance while allowing
easy integration with power electronic converter models and
controls. In addition, it will provide information for position
estimation using mutually induced voltages or flux linkages.
SRM models that account for the effects of multiphase exci-
tation in the presence of magnetic saturation can be classified
into models based on: 1) the magnetic circuit of the entire
Manuscript received November 18, 2004; revised June 13, 2005. Abstract
published on the Internet May 18, 2006. This work was supported by the Office
of Naval Research under Grant N00014-03-1-0153.
A. K. Jain is with Peregrine Power LLC, Wilsonville, OR 97070 USA (e-
mail: amit_k_jain@ieee.org).
N. Mohan is with the Department of Electrical and Computer Engineer-
ing, University of Minnesota, Minneapolis, MN 55455-0170 USA (e-mail:
mohan@ece.umn.edu).
Digital Object Identifier 10.1109/TIE.2006.878310
motor and 2) the terminal quantities of flux linkage and current
associated with each phase. The magnetic circuit approach
was first presented by Moreira and Lipo [2], followed by a
more detailed model by Davis and Al-Bahadly [3] to explain
experimentally observed mutually induced voltages, and further
refinements by Preston and Lyons [4] and Sawata et al. [5].
In this approach, the motor is divided into several reluctance
elements; some may be assumed constant, e.g., elements in the
stator back iron, some may have position dependence, while
some others, especially the rotor and stator pole tips, may
have both position and flux dependence. For simulation, the
magnetic circuit is modeled as an equivalent electric circuit
ideally suited to simulators like SPICE [6] and Saber [7], which
are optimized for the solution of network equations. This model
requires data to represent all the reluctance elements at different
rotor positions and flux levels. Some of these can be approx-
imately computed using analytical formulas [4], while others
have to be determined either using finite element analysis finite-
element analysis (FEA) or by experimental measurements. The
accuracy of this model depends to a great extent on the number
of reluctance elements chosen and the accuracy in modeling
each reluctance element. Using the second approach, Panda
et al. [8], [9] implemented a model where the total flux linkage
of one phase winding (λ
a
for phase a) is calculated using the
single-phase voltage equation. Then, the self-flux linkage of
that winding is calculated by subtracting mutual flux linkages
due to currents in all the other phases. However, it was assumed
that the mutual flux λ
a,j
(i
j
) depends only on the current
flowing in phase j , an assumption not true under magnetic
saturation. In [10], Michaelides and Pollock considered the case
of two-phase excitations with constant phase current for the
purpose of machine design. In [11], Pillay et al. discussed sim-
ilar effects and presented differences between torque predicted
by superimposition in the single-phase model and that predicted
by simultaneous excitation. In [11], FEA was used to compute
static characteristics for particular current levels at various rotor
positions. A dynamic model was not presented.
This paper presents a dynamic modeling strategy that ac-
counts for the simultaneous two-phase excitation of SRMs.
Motor symmetry is used to reduce the amount of flux linkage
data needed for the model. The experimental procedure used
to measure the required flux linkage data is described. Exper-
imentally measured mutual flux linkage data for the 8/6 SRM
are presented along with implications. Simulation model imple-
mentation and comparison with experimental waveforms along
0278-0046/$20.00 © 2006 IEEE