Level control of a spherical tank system using conventional & intelligent controllers

Author

Praveena, R. ; Abhinaya, R. ; Abinaya, S.P. ; Aishwarya, G. ; Kumar, Ajit

Author_Institution

Dept. of Electron. & Instrum. Eng., Easwari Eng. Coll., Chennai, India

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

6

Abstract

In this paper, conventional PID technique and soft computing techniques such as Fuzzy logic, Neural Networks for a non linear level process are discussed in simulation and real time. The non-linear process dealt here is level control in a real time model of a spherical tank which is first linearized using Piece wise linearization technique. The conventional controller and soft computing controller techniques such as fuzzy and neural network have been implemented. The mathematical model of the process was derived and further steps were implemented. The conventional PID parameters are designed based on the Cohen coon method. The fuzzy and neural controllers are implemented using MATLAB and LabVIEW.

Keywords

fuzzy control; intelligent control; level control; linearisation techniques; neurocontrollers; nonlinear control systems; tanks (containers); three-term control; Cohen coon method; PID technique; fuzzy controllers; fuzzy logic; intelligent controllers; level control; neural controllers; neural networks; nonlinear level process; piece wise linearization technique; real time model; soft computing controller techniques; spherical tank system; Data acquisition; Fuzzy logic; Mathematical model; Neural networks; Process control; Real-time systems; Steady-state; Cohen Coon method; Fuzzy and Neural Networks; Lab; Non Linear process; PID; Spherical tank;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICGCCEE.2014.6922335

Filename

6922335