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Artificial intelligence in nonlinear process control based on fuzzy logic

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5 Author(s)
E. Shteimberg ; Nuclear Research Center-Negev (N.R.C.N), P.O. BOX 9001, Beer-Sheva, 84190, Israel ; M. Kravits ; A. Ellenbogen ; M. Arad
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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