Optimization of pid controller using grey wolf optimzer and dragonfly algorithm
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Date
2018-06
Authors
Nik Muhammad Aiman Nik Mohamed Hazli
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Abstract
Optimisation is a method to find a balance performance when the design has to
compromise between a certain factors, which affects fitness and cost. In engineering field,
one of the common optimisation problem is optimisation of PID controller. Optimisation
is difficult to optimise as there are three parameters that need to be tuned, Kp, Integral
parameter, Ki, and derivative parameter, Kd. In this research, swarming intelligence is
used to solve optimisation problem. Grey Wolf Optimizer and Dragonfly Algorithm were
chosen. Three plant system were used in this study. First system is based on the ball and
hoop system and second system is based on the DC servo motor. Last system is based on
the brushed DC motor. Objective function in this research, cost function was chosen. The
criteria of the cost function are low peak overshoot, Mp, low steady-state error, ess, low
settling time, Ts, and low rise time, Tr. However, to fully utilize the algorithm, the
parameter of the algorithm need to be set properly. In this case, the right number of the
search agents for both algorithm. The stopping criteria also need to be identified. In this
study, maximum number of iterations is the stopping criteria. The expected result is the
algorithms are able to optimise the PID controller. However, the performance of system
is expected to be different from different algorithm.