A computationally intelligent maximum torque
per ampere control strategy for
s
witched
reluctance machines
Furkan Akar, Fletcher Fleming, Chris S. Edrington
Center for Advanced Power Systems, Florida State University
Tallahassee, FL, USA
fleming@caps
.fsu.edu
Abstract
—
While currently occupying only a niche role in
industrial applications, the switched reluctance machines (SRM)
unique operational characteristics could prove useful for
additional engineering sectors given that inherent drawbacks are
add
ressed. Phase winding isolation of SRMs provides greater
fault tolerance when compared to the industrial standard, pulse
width modulation driven induction machines. Furthermore, they
may remain in a locked rotor position safely without concern of
faulting
and have higher speeds than many other electrical
machines, i.e. contributing to greater overall robustness. When
compared to other electrical machines, the SRM has higher
currents requirements, creates greater acoustic noise and torque
ripple, and require
s more advanced controls for effective
operation. Such drawbacks alienate the SRMs commercial and
industrial popularity, ultimately limiting its full potential from
being exploited.
Since SRM torque production is typically non
-
linear, various
techniques ha
ve been developed in order to maximize the torque
output per unit current excitation, i.e. maximum torque per
ampere (MTA). The “conventional” strategy, while simplistic,
assumes a constant excitation over a symmetric period of the
machine. This increases
copper and iron losses while not
effectively mitigating the current requirements or inherent
torque ripple. By using particle swarm optimization (PSO), a
stochastic search technique based on evolutionary algorithms,
phase
current MTA profiles may be obtained that optimize such
conditions. This work presents a novel MTA SRM control
strategy based on the PSO technique that obtains the optimum
phase current profiles of a 4
-
phase, 8/6 pole SRM such that
copper losses and torqu
e ripple are minimized while achieving
the desired torque at specific rotor positions.
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