Design optimisation of PID controller in automatic voltage regulator system using teaching-learning based optimisation algorithm
by Mohammad Jafar Hadidian Moghaddam; Mehdi Bigdeli; Saber Arabi Nowdeh; Mehdi Golshani Monfared
International Journal of Power and Energy Conversion (IJPEC), Vol. 7, No. 4, 2016

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.

Online publication date: Thu, 20-Oct-2016

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