TY - GEN
T1 - Application of self-tuning fuzzy PID controller on the AVR system
AU - Farouk, Naeim
AU - Bingqi, Tian
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Automatic Voltage Regulator (AVR)
KW - Fuzzy Logic Controller
KW - PID Controller
KW - Simulation and Result
UR - http://www.scopus.com/inward/record.url?scp=84867605868&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2012.6285741
DO - 10.1109/ICMA.2012.6285741
M3 - Conference contribution
AN - SCOPUS:84867605868
SN - 9781467312776
T3 - 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
SP - 2510
EP - 2514
BT - 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
T2 - 2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Y2 - 5 August 2012 through 8 August 2012
ER -