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Design of Adaptive Controller for a Non-Linear Process

Published on July 2014 by S. Palanivel, S. Santhoshkumar, G. Sakthivel, S. P. Natarajan
Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ETEIAC - Number 1
July 2014
Authors: S. Palanivel, S. Santhoshkumar, G. Sakthivel, S. P. Natarajan
1f5b5025-99d3-4d9c-b379-8a98e7433860

S. Palanivel, S. Santhoshkumar, G. Sakthivel, S. P. Natarajan . Design of Adaptive Controller for a Non-Linear Process. Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ETEIAC, 1 (July 2014), 16-21.

@article{
author = { S. Palanivel, S. Santhoshkumar, G. Sakthivel, S. P. Natarajan },
title = { Design of Adaptive Controller for a Non-Linear Process },
journal = { Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { July 2014 },
volume = { ETEIAC },
number = { 1 },
month = { July },
year = { 2014 },
issn = 0975-8887,
pages = { 16-21 },
numpages = 6,
url = { /proceedings/eteiac/number1/17329-1409/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A S. Palanivel
%A S. Santhoshkumar
%A G. Sakthivel
%A S. P. Natarajan
%T Design of Adaptive Controller for a Non-Linear Process
%J Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ETEIAC
%N 1
%P 16-21
%D 2014
%I International Journal of Computer Applications
Abstract

Measurement of level, temperature, pressure and flow parameters are very vital in all process industries. The model for such system is identified and validated. Real-time industrial processes are subjected to variation in parameters and parameter perturbations, which sometimes makes the system unstable. Determination of tuning of the PI (Proportional + Integral) parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. Most of the processes are complex and nonlinear in nature resulting into their poor performance when controlled by traditional tuned PI controllers. The need for improved performance of the process has led to the development of optimal controllers. So the control engineers are on look for automatic tuning procedures. In this work the considered non-linear process is spherical tank level process and adaptive controller is gain scheduling controller. This work proposes a Gain Scheduling Controller (GSC). For a spherical tank level process, in the case of Gain Scheduling PI controllers, the plant under consideration is assumed to be governed by a set of PI controllers with the objective to obtain good tracking behavior across the operating envelope of the plant. The PI gains are allowed to vary within a predetermined range. In the case of nonlinear plant, where the nonlinearity is the function of plant output, one strategy for achieving the desired objective is to choose the proportional ( ) and integral gains ( ) as function of the plant. The objective of the work is to design the adaptive controller for a spherical tank level process.

References
  1. G. Sakthivel, T. S. Anandhi, S. P. Natarajan "Design of Fuzzy Logic Controller for a Spherical tank system and its Real time implementation", International Journal of Engineering Research and Applications (IJERA) vol. 1, Issue 3, pp. 934-940, 2012.
  2. M. Vijayakarthick, P. K. Bhaba "Optimized Tuning of PI Controller for a Spherical Tank Level System Using New Modified Repetitive Control Strategy", International Journal of Engineering Research and Development, volume 3, no 6, pp. 74-82, 2012.
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Index Terms

Computer Science
Information Sciences

Keywords

Spherical Tank Pid Gain Scheduling Controller (gsc).