Paper title: INTELLIGENT TUNING OF PROPORTIONAL INTEGRAL DERIVATIVE CONTROLLER USING HYBRID BACTERIAL FORAGING PARTICLE SWARM OPTIMIZATION FOR AUTOMATIC VOLTAGE REGULATOR SYSTEM
Author(s): SOUNDARAPANDIAN ANBARASI, SRINIVASAN MURALIDHARAN,
Abstract: In this paper, an advanced optimization algorithm named hybrid bacterial foraging particle swarm optimization (BFPSO)
algorithm is proposed, for optimal tuning of proportional integral derivative (PID) controller of an automatic voltage regulator
(AVR) system. An objective function, designed with fundamental time domain specifications is also considered in this research
work. The effectiveness of the proposed approach is examined by the transient performances, stability and robustness of the
system and also by the convergence characteristics of the proposed algorithm. The reliability of the proposed approach is
investigated in this paper, by including the physical constraints such as parameter changes and nonlinearity such as band limited
noise to the AVR system model. In this paper, a comparative study is also made with the earlier documented results of modern
heuristic approaches namely, bacterial foraging optimization algorithm (BFOA), artificial bee colony (ABC) algorithm, and also
with the conventional Ziegler Nichols (ZN) method to validate the superiority of the proposed approach. All the simulation
results clearly prove that the proposed BFPSO tuned PID controller has better control performances compared to other
optimization approaches.
Keywords: Automatic generation control, Automatic voltage regulator, Bacterial foraging particle swarm optimization
algorithm, Proportional integral derivative (PID) tuning Year: 2017 | Tome: 62 | Issue: 3 | Pp.: 325-331
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