Nc. Sahoo et al., An iterative learning-based modulation scheme for torque control in switched reluctance motors, ELEC MACH P, 28(11), 2000, pp. 995-1018
This paper deals with an iterative learning approach for modulating the des
ired torque profile so as to obtain ripple-free torque in switched reluctan
ce motors. Because of the highly nonlinear relation between torque, current
, and rotor position for this motor, it is not possible to obtain a closed-
form mathematical expression for current as a function of torque and rotor
position. Thus. the current waveforms are conventionally computed by using
the linear torque model of the motor, and it is well known that such a sche
me results in high torque ripple. In this paper, a novel method is proposed
to minimize the ripple. In this new scheme, the current is still computed
using the linear torque model. but the value of the torque used for this is
not the desired (specified) torque, but rather a modulated-desired torque
that is obtained by repeated corrections to the desired torque from iterati
on to iteration. The conventional rectangular pulse profile is taken as the
initial current waveform. The method requires much lass a priori knowledge
of the magnetic characteristics of the motor. The algorithms have been for
mulated for both one-phase-on and two-phase-on schemes, for a four-phase sw
itched reluctance motor, in the light of the principles behind iterative le
arning. Based on the observations from the simulation results of these sche
mes, a modified scheme has been proposed by incorporating a suitable commut
ation process, often called torque sharing functions, in order to generate
reasonably smooth current waveforms for the ease of tracking by the stator
circuit Of the motor. The performances of all the proposed schemes have bee
n verified by computer simulation.