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