Title :
PID Coefficient Design for the Automatic Voltage Regulator Using an Adaptive Inertia Particle Swarm Optimization
Author :
Kang, Hwan Il ; Kwon, Min Woo ; Bae, Hwan Gil
Author_Institution :
Dept. of Inf. & Commun. Eng., Myongji Univ., Yongin, South Korea
Abstract :
In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or decreased. That is, if the absolute value of velocity is larger or lesss than that of the update term, then the weight is increased or decreased, respectively. With the so-called adaptive inertia PSO algorithm we design PID coefficients for the automatic voltage regulators. We show that the proposed algorithm has a better performance than the original PSO under some conditions for the PID design of automatic voltage regulators.
Keywords :
control system synthesis; particle swarm optimisation; three-term control; voltage regulators; PID coefficient design; adaptive inertia PSO algorithm; adaptive inertia particle swarm optimization; automatic voltage regulator; Adaptive systems; Convergence; Equations; Particle swarm optimization; Regulators; Voltage control;
Conference_Titel :
Information Science and Applications (ICISA), 2011 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-9222-0
Electronic_ISBN :
978-1-4244-9223-7
DOI :
10.1109/ICISA.2011.5772346