Title :
A particle-swarm-based approach for optimum design of BELBIC controller in AVR system
Author :
Valizadeh, Sima ; Jamali, Mohammad-Reza ; Lucas, Caro
Author_Institution :
Dept. of Electr. Eng., Univ. of Tehran, Tehran
Abstract :
In this paper, Particle Swarm Optimization algorithm is applied to design an optimum intelligent controller based on brain emotional learning. BELBIC controller is tuned to improve the time domain parameters such as percent overshoot, steady state error, settling time and rise time of the step response of an Automatic Voltage Regulator. Also the convergence characteristic of fitness function averaged over the whole particles in each generation is investigated. PSO-BELBIC performance is compared with the classic PSO-PID controller.
Keywords :
control system synthesis; intelligent control; particle swarm optimisation; voltage regulators; AVR system; BELBIC controller design; automatic voltage regulator; brain emotional learning; intelligent controller; particle swarm optimization algorithm; steady state error; Algorithm design and analysis; Automatic control; Brain modeling; Control systems; Nonlinear control systems; Optimal control; Particle swarm optimization; Power system control; Power system dynamics; Power system modeling; AVR system; BELBIC controller; Emotional learning; optimal control; particle swarm optimization;
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
DOI :
10.1109/ICCAS.2008.4694214
