Fuzzy logic blend with PID controller for humidity process - a rule based approach

Author

Venkatesh, Svetha ; Sundaram, Suresh

Author_Institution

Dept. of Electron. & Instrum. Eng., SASTRA Univ., Thanjavur, India

fYear

2012

fDate

21-22 March 2012

Firstpage

526

Lastpage

529

Abstract

Humidity affects product quality as well as human comfort. An experimental setup for humidifying process was developed and a suitable black box model is identified for the process. A Fuzzy Logic Controller (FLC) is designed for this process with rule base based on Internal Model Control Proportional Integral technique (IMCPI). FLC was simulated in the MATLAB environment for the humidifying process. By changing the rule base and the number of member ship functions the step response of the system was analyzed. The system showed better performance for higher number of membership functions.

Keywords

PI control; control system synthesis; fuzzy control; humidity control; knowledge based systems; step response; three-term control; FLC; IMCPI; MATLAB environment; PID controller; black box model; fuzzy logic controller design; human comfort; humidifying process; humidity process; internal model control proportional integral technique; membership functions; product quality; rule based approach; step response; Delta modulation; IP networks; Fuzzy Logic Controller; Humidity; IMCPI; Membership functions; Rule base;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on

Conference_Location

Kumaracoil

Print_ISBN

978-1-4673-0211-1

Type

conf

DOI

10.1109/ICCEET.2012.6203887

Filename

6203887