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Artificial intelligence in nonlinear process control based on fuzzy logic

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5 Author(s)
Shteimberg, E. ; Nucl. Res. Center-Negev (N.R.C.N), Beer-Sheva, Israel ; Kravits, M. ; Ellenbogen, A. ; Arad, M.
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Artificial Intelligence (AI) techniques are becoming useful as alternative approaches to conventional techniques or as components of integrated systems, coping with highly nonlinear processes. Fuzzy Logic (FL) is a major branch of AI based on human-like reasoning. In this paper a nonlinear system control design using a Hybrid of Fuzzy Logic and PI controller is presented. The proposed control scheme enables the controller to yield better control performance for highly nonlinear processes, compared to a regular PI controller.

Published in:

Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of

Date of Conference:

14-17 Nov. 2012

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