| Abstract |
Switched reluctance motors(SRM) are being considered for variable speed drive applications, due
to their simple construction and fault-tolerant power electronic converter configuration. However,
inherent torque ripples have prevented their wide-spread application. Many researchers have proposed a
cascaded torque control structure where the desired torque is first converted to equivalent phase currents
and subsequently a current controller is used to ensure that the desired currents flow through the stator
windings. High performance torque control requires accurate current tracking by the inner current
controller. Due to the highly non-linear nature of SRM, achieving perfect current tracking is a major
challenge. In this paper, we have reviewed various works by earlier researchers on current controllers as
reported in the literature and analyzed their merits and demerits. Subsequently, we have proposed and
implemented a novel current controller based on Iterative Learning. Experimental results are provided for
a 1 hp, 8/6 pole SRM which demonstrate the effectiveness of our proposed scheme in achieving improved
current tracking. |
