Title :
Application of self-tuning fuzzy PID controller on the AVR system
Author :
Farouk, Naeim ; Bingqi, Tian
Author_Institution :
Sch. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
Abstract :
Optimal tuning of proportional-integral-derivative (PID) controller parameters is necessary for the satisfactory operation of automatic voltage regulator (AVR) system. This study presents a tuning fuzzy logic approach to determine the optimal PID controller parameters in AVR system. The developed fuzzy system can give the PID parameters on-line for different operating conditions. The suitability of the proposed approach for PID controller tuning has been demonstrated through computer simulations in an AVR system.
Keywords :
adaptive control; fuzzy control; optimal control; self-adjusting systems; stability; three-term control; voltage control; voltage regulators; AVR system; automatic voltage regulator system; computer simulation; fuzzy system; optimal PID controller parameters; optimal tuning; proportional-integral-derivative controller parameter; self-tuning fuzzy PID controller; stability; tuning fuzzy logic approach; Automatic voltage control; Fuzzy logic; Generators; Niobium; Transfer functions; Tuning; Automatic Voltage Regulator (AVR); Fuzzy Logic Controller; PID Controller; Simulation and Result;
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
DOI :
10.1109/ICMA.2012.6285741
