Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : cs1
First page : ( 142) Last page : ( 156)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00952.7

Improved Level Tuning of Feed Forward based Intelligent Super Fuzzy Controller (FFISFC) for Control for Three Tank System

Sudha G*, Dr. Anita R.**

*Assistant Professor, Electronic and Instrumentation Engineering, PMC Tech, Hosur, India

**Professor & Head, Electrical and Electronics Engineering, IRTT, Erode, India

Online published on 15 September, 2016.

Abstract

In industrial control systems the liquid level is carrying its significance as the control action for level control in tanks containing different chemicals or mixtures is essential for further control linking set levels. The three tank level control techniques are well thought-out in our work. In the proposed system, a new methodology for tuning the factors of stability and gain using feed forward based intelligent super fuzzy controller (FFISFC) for the closed-loop system. The performance is obtained by solving a nonlinear constrained optimization problem, considering a set of constraints on the scaling factors of the super fuzzy rule and on the plant's inputs and outputs. Two different approaches are presented, which are associated with the optimization being carried out offline or in real time. The offline tuning scheme assumes the system dynamics described by a nonlinear model, while for the real-time implementation, the plant's dynamics is locally approximated by a linear model, with the underlying parameters recursively updated. In order to cope with rather stringent sampling time requirements, the constrained online optimization problem is implemented based on the grid computing paradigm. The proposed tuning methodologies are assessed on a benchmark three tank system and compared against a conventional-based tuning approach. Results from experiments illustrate the feasibility of the proposed approaches and also all the relevance in optimal control systems based on feed forward based intelligent super fuzzy controller (FFISFC) controllers.

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