Research Article Open Access

A Unique Novel Approach for Design and Analysis of A Robust Decentralized Self-Tuning Fuzzy PI Controller for a Multi Input Multi Output Process

P. Sujatha Therese1 and N. Kesavan Nair2
  • 1 Department of EEE, Noorul Islam College of Engineering, Kumaracoil TamilNadu, India
  • 2 Department of EEE,CSI Institute of Technology, Thovalai, TamilNadu,

Abstract

Problem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.They have more than a single controlled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, it is a difficult task because of the non stationary behaviour, substantial coupling of multiple variables and severe disturbances. Self tuning fuzzy control is a technique applied to control a MIMO process when the plant parameters are subjected to perturbations and when the dynamics of the systems are too complex for a mathematical model to describe. In this study, a decentralized self tuning fuzzy PI controller is designed for a Multi Input Multi Output Process. Results: The performances of the proposed STFPIC for the MIMO process are compared with fuzzy PI controller under both normal and under -10% deviation in time constant in terms of the performance measure Integral Time Absolute Error (ITAE). Conclusion: The proposed STFPIC for the MIMO process shows remarkably improved performance than FPIC.

American Journal of Applied Sciences
Volume 9 No. 3, 2012, 331-336

DOI: https://doi.org/10.3844/ajassp.2012.331.336

Submitted On: 21 October 2011 Published On: 17 January 2012

How to Cite: Therese, P. S. & Nair, N. K. (2012). A Unique Novel Approach for Design and Analysis of A Robust Decentralized Self-Tuning Fuzzy PI Controller for a Multi Input Multi Output Process . American Journal of Applied Sciences, 9(3), 331-336. https://doi.org/10.3844/ajassp.2012.331.336

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Keywords

  • Fuzzy Logic Controllers (FLC's)
  • Proportional Integral (PI)
  • Membership Functions (MF's)
  • Relative Gain Array (RGA)