| Resumo: | This research focuses on a comparative study between PID controller and FuzzyPID
controller for speed control of permanent magnet brushless (PM BLDC) motor drive.
PM BLDC motors are more popular over the other types of electric motors which make
PM BLDC motors widely used in many applications. It is well known that most of the
industrial applications used conventional PID controllers. Nowadays, PID controller is
considered as a conventional system due to the existence of several intelligent controls
such as Fuzzy Logic Control (FLC). However, PID controller still remains a valid
approach to implementing a feedback control system. When the nonlinearities of the
system are the major issues in motor control, it could be more convenient to improve the
PID control strategy rather than to work out complicated dynamic models which require
sophisticated control strategies. Thus, FuzzyPID controller has been proposed and
discussed for speed control of PM BLDC motor. Motor speed responses are studied
under different operating conditions including response to small and large step speed
reference change, and response to step load application. Simulation results are
supplemented with a set of experimental results, obtained using PID and FuzzyPID
controllers respectively. The experimental results showed that FuzzyPID controller
provides a superior speed response with approximately 0.1 s faster of the rise time and
settling time as well as managed to reduce the amount of overshoot until 20% compared
to the PID controller.
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