Title: Design optimisation of PID controller in automatic voltage regulator system using teaching-learning based optimisation algorithm

Authors: Mohammad Jafar Hadidian Moghaddam; Mehdi Bigdeli; Saber Arabi Nowdeh; Mehdi Golshani Monfared

Addresses: Young Researchers and Elite Club, Zanjan Branch, Islamic Azad University, Zanjan, Iran ' Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran ' Golestan Technical and Vocational Training Center, Gorgan, Iran ' Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

Abstract: It is becoming increasingly difficult to ignore the role of the optimal design of the proportional-integral-derivative (PID) controller in achieving a satisfactory response in the automatic voltage regulator (AVR) system. The main aim of this paper is to determine the optimal gains of a PID controller in the AVR system using teaching-learning based optimisation (TLBO) algorithm. Linearly decreasing inertia particle swarm optimisation (LDIPSO) is also employed for comparison purposes. The simulation results are provided to compare the effectiveness of these two different algorithms. MATLAB toolboxes are employed in this paper. Simulation results show that the TLBO algorithm has a considerable potential when compared to one of the best-known heuristic algorithms for optimisation problems. It proves to be more robust than PSO in performing optimal transient performance even under various nominal operating conditions. With the TLBO method, the step response of the AVR system can be improved.

Keywords: PID control; automatic voltage regulation; AVR; particle swarm optimisation; PSO; teaching-learning based optimisation; TLBO; optimal control; design optimisation; controller design; simulation.

DOI: 10.1504/IJPEC.2016.079890

International Journal of Power and Energy Conversion, 2016 Vol.7 No.4, pp.377 - 390

Received: 25 May 2015
Accepted: 04 Nov 2015
Published online: 20 Oct 2016 *

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