Article,
Comparison of Adaptive Tuned PID Controller by using PSO and GA Technique for AVR
INTERNATIONAL JOURNAL OF APPLIED SCIENCE ENGINEERING AND MANAGEMENT, 1 (2): 1-9 (October 2015)
Abstract
n th is p ap er, a n ovel d esign m eth od for d eterm in in
g th e op tim al p rop ortion al-in tegral-d erivative (PID
) con troller p aram eters of
an AVR system u sin g th e p ar ticle sw arm op tim iz ation (
PSO) algorith m is p resen ted . Th is p ap er d em on strate
d in d etail h ow to
em p loy th e PSO m eth od to search efficien tly th e op tim
al PID con troller p aram eters of an AVR system . Th e p r
op osed ap p roach
h ad su p erior featu res, in clu d in g easy im p lem en tation
, stable con vergen ce ch aract eristic, an d good com p u tation a
l efficien cy. Fast
tu n in g of op tim u m PID con troller p aram eters yield s h
igh -qu ality solu tion . In ord er to assist estim atin g
th e p erform an ce of th e
p rop osed PSO -PID con troller, a n ew tim e-d om ain p erfo
rm an ce criterion fu n ction w as also d efin ed . Com p ared w
ith th e g en etic
algorith m (GA), th e p rop osed m eth od w as in d eed m ore
efficien t an d robu st in im p rov in g th e step resp on se
of an AVR system .
Keyw ords:
AVR system, optim al control, particle sw arm optimizat
ion, PID controller.
