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Abstract
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Article Information:
Design and Implementation of Adaptive Model Based Gain Scheduled Controller for a Real Time Non Linear System in LabVIEW
M. Kalyan Chakravarthi and Nithya Venkatesan
Corresponding Author: M. Kalyan Chakravarthi
Submitted: October 22, 2014
Accepted: December 27, 2014
Published: May 20, 2015 |
Abstract:
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The aim of this study is to design and implement an Adaptive Model Based Gain Scheduled (AMBGS) Controller using classical controller tuning techniques for a Single Spherical Nonlinear Tank System (SSTLLS). A varying range of development in the control mechanisms have been evidently seen in the last two decades. The control of level has always been a topic of discussion in the process control scenario. In this study a real time SSTLLS has been chosen for investigation. System identification of these different regions of nonlinear process is done using black box model, which is identified to be nonlinear and approximated to be a First Order plus Dead Time (FOPDT) model. A proportional and integral controller is designed using LabVIEW and Skogestad’s and Ziegler Nichols (ZN) tuning methods are implemented. The paper will provide details about the data acquisition unit, shows the implementation of the controller and compare the results of PI tuning methods used for an AMBGS Controller.
Key words: Graphical User Interface (GUI), LabVIEW, PI controller, skogestad’s method, Single Spherical Tank Liquid Level System (SSTLLS), Z-N method,
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Cite this Reference:
M. Kalyan Chakravarthi and Nithya Venkatesan, . Design and Implementation of Adaptive Model Based Gain Scheduled Controller for a Real Time Non Linear System in LabVIEW. Research Journal of Applied Sciences, Engineering and Technology, (2): 188-196.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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