CONTROLLER TUNING APPROACH WITH TLBO ALGORITHM FOR THE AUTOMATIC VOLTAGE REGULATOR SYSTEM

Year 2020, , 128 - 146, 31.03.2020

Banu Ataşlar Ayyıldız , Oğuzhan Karahan

https://doi.org/10.18038/estubtda.581895

Cited By: 1

Abstract

In this paper, an optimal parameter
set tuning method for proportional-integral-derivative (PID) controller and
fractional order PID controller is proposed using teaching-learning based
optimization (TLBO) algorithm. During the optimization of the PID and FOPID
controller parameters, an objective function consisting of overshoot, rise
time, settling time and steady state error is formulated to achieve a
satisfactory trade-off between the dynamic response characteristics. TLBO
algorithm is used as the optimizer to find the best parameters of the proposed
controllers. The designed PID and FOPID controllers are applied to an automatic
voltage regulator (AVR) system. The performances of the proposed controllers
are confirmed by comparing their results with those obtained from different
optimized PID and FOPID controllers previously published in the literature for
the same AVR system. The numerical simulations and comparisons show that the
proposed controllers provide the better dynamic response characteristics as
well as more robust to model uncertainties than the other different optimized
controllers. The results obtained with the proposed controllers show a better
trade-off between the set point tracking performance, robustness and stability.

Keywords

AVR system, TLBO Algorithm, PID control, FOPID control

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