DocumentCode :
2083217
Title :
Fuzzy logic based self tuning of PI controller for a non linear spherical tank system
Author :
Sivagurunathan, G. ; Jayanthi, K.B.
Author_Institution :
St. Joseph´s Coll. of Eng., Chennai, India
fYear :
2012
fDate :
18-20 Dec. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Tuning the parameters of a controller is very important in system performance. Ziegler and Nichols tuning method is simple and cannot guarantee to be effective always. This paper investigates the design of fuzzy logic based self tuning Proportional Integral (PI) controller on a First order Plus Dead Time (FOPDT) non linear spherical tank system using block box modelling. The real time PI controller was designed for a liquid level process, the servo and regulatory responses of the controller were obtained. The simulation results of conventional PI controller, Internal Model Control (IMC) based PI controller and Self tuning Fuzzy PI controller is obtained using MATLAB. From the simulation it is clear that there is substantial improvement in the Self tuning Fuzzy PI controller in terms of peak overshoot, settling time, peak time, rise time, Integral Square Error (ISE) and Integral Absolute Error (IAE).
Keywords :
PI control; chemical industry; control system synthesis; fuzzy control; level control; mathematics computing; nonlinear control systems; process control; tanks (containers); FOPDT; IAE; IMC; ISE; MATLAB; Ziegler-Nichols tuning method; block box modelling; chemical process industry; first order plus dead time nonlinear spherical tank system; fuzzy logic based self tuning proportional integral controller design; integral absolute error; integral square error; internal model control; liquid level process; parameter tuning; peak overshoot; peak time; regulatory response; rise time; self tuning fuzzy PI controller; servo response; settling time; Data acquisition System; Fuzzy Logic Controller; Internal Model Controller; PI Controller; Process Modeling; Self tuning controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
Type :
conf
DOI :
10.1109/ICCIC.2012.6510199
Filename :
6510199
Link To Document :
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