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Asian Journal of Applied Sciences
  Year: 2008 | Volume: 1 | Issue: 1 | Page No.: 33-45
DOI: 10.3923/ajaps.2008.33.45
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Design of Intelligent Controller for Non-Linear Processes

S. Nithya, Abhay Singh Gour, N. Sivakumaran, T.K. Radhakrishnan, T. Balasubramanian and N. Anantharaman

The aim of this research is to discuss the control issues associated with the non-linear systems in real time using cost effective data acquisition system. The non-linear systems taken up for study are conical and spherical tank. System identification of these nonlinear processes are done using black box model, which is identified to be non-linear and approximated to be a First Order Plus Dead Time (FOPDT) model. In this study, for designing the controllers, we have taken Proportional Integral (PI) controller using Skogestad tuning rule, Fuzzy Logic Controller (FLC) using both Mamdani (M-FL) and Takagi-Sugeno (TS-FL) models are developed for controlling the non-linear processes using MATLAB with ADAM’s data acquisition module. The performance comparison of the controllers are compared based on performance indices like Integral Squared Error (ISE) and Integral Absolute Error (IAE). The real time implementation of the results, shows that the TS based FL produces improved control performance the Mamdani fuzzy and conventional controller.
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How to cite this article:

S. Nithya, Abhay Singh Gour, N. Sivakumaran, T.K. Radhakrishnan, T. Balasubramanian and N. Anantharaman, 2008. Design of Intelligent Controller for Non-Linear Processes. Asian Journal of Applied Sciences, 1: 33-45.

DOI: 10.3923/ajaps.2008.33.45






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