TY - GEN
T1 - Design of intelligent fuzzy fractional-order PID controller for pressure control application
AU - Kanagaraj, N.
AU - Al-Dhaifalla, Mujahed
AU - Nisar, K. S.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - A fuzzy fractional-order proportional integral derivative (FFOPID) control scheme is proposed. In the recent years, the application of fractional calculus has been applied in science and engineering fields and proved to be a better. However, the use of fuzzy with fractional order control strategy for real-time control has not been studied greatly. In this proposed work an intelligent fuzzy fractional-order PID controller is designed and its performance is studied with a novel pressure regulating system model. To emphasize the advantages of proposed control scheme, the controller performances are investigated under load disturbances and changes in set-point conditions. A comparative study is also made with fractional order proportional integral derivative (FOPID) and classical PID control schemes. From the simulation results, the proposed control scheme outperforms other types of control scheme.
AB - A fuzzy fractional-order proportional integral derivative (FFOPID) control scheme is proposed. In the recent years, the application of fractional calculus has been applied in science and engineering fields and proved to be a better. However, the use of fuzzy with fractional order control strategy for real-time control has not been studied greatly. In this proposed work an intelligent fuzzy fractional-order PID controller is designed and its performance is studied with a novel pressure regulating system model. To emphasize the advantages of proposed control scheme, the controller performances are investigated under load disturbances and changes in set-point conditions. A comparative study is also made with fractional order proportional integral derivative (FOPID) and classical PID control schemes. From the simulation results, the proposed control scheme outperforms other types of control scheme.
KW - Fractional order controller
KW - Fuzzy logic control
KW - PID controller
KW - Pressure control
KW - Pressure system identification
UR - http://www.scopus.com/inward/record.url?scp=85049330310&partnerID=8YFLogxK
U2 - 10.1109/ICICICT1.2017.8342618
DO - 10.1109/ICICICT1.2017.8342618
M3 - Conference contribution
AN - SCOPUS:85049330310
T3 - 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
SP - 525
EP - 530
BT - 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
Y2 - 6 July 2017 through 7 July 2017
ER -