DocumentCode :
3081137
Title :
Design of Fuzzy Based IMC-PID Controller for IPD Process
Author :
Paul, Parikshit Kumar ; Dey, Chanchal ; Mudi, R.K.
Author_Institution :
Dept. of Inst. & Cont. Eng., CIEM, Kolkata, India
fYear :
2013
fDate :
24-26 Aug. 2013
Firstpage :
111
Lastpage :
114
Abstract :
A fuzzy based IMC-PID controller is designed for pure integrating process with delay (IPD). Here, we develop an IMC-PID tuning rule for the IPD process using first-order Padé approximation for dead time and a second-order filter is added to make the controller structure proper. The value of the only tuning parameter i.e., closed-loop time constant is selected with the help of a simple fuzzy rule base. An overall improvement is observed in the performance of the proposed IMC-PID controller in comparison with existing IMC tuning relations.
Keywords :
approximation theory; closed loop systems; control system synthesis; delay systems; fuzzy control; process control; three-term control; IMC tuning relations; IMC-PID tuning rule; IPD process; closed-loop time constant; controller structure; dead time; first-order Padé approximation; fuzzy based IMC-PID controller; fuzzy rule base; integrating process with delay; second-order filter; tuning parameter; Delay effects; Load modeling; Process control; Robustness; Steady-state; Transient analysis; Tuning; IMC tuning; PID control; integrating process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Business Intelligence (ISCBI), 2013 International Symposium on
Conference_Location :
New Delhi
Print_ISBN :
978-0-7695-5066-4
Type :
conf
DOI :
10.1109/ISCBI.2013.30
Filename :
6724334
Link To Document :
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