Neuro-Fuzzy Controller Design for Industrial Process Controls

Vittaya Tipsuwanporn; Sathit Intajag; Kritchai Witheephanich; Natham Koetsam-ang; S Samiamak

doi:10.11499/sicep.2004.0_24_3

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_24_3

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Neuro-Fuzzy Controller Design for Industrial Process Controls

*Vittaya Tipsuwanporn, Sathit Intajag, Kritchai Witheephanich, Natham Koetsam-ang, S Samiamak

Author information

Keywords: Neuro-Fuzzy controller, Industrial process controls, Controller design

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 24

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Abstract

An industrial controller is designed with the neuro-fuzzy model based on Sugeno-type fuzzy inference, which can be tuned itself by the neural network mechanism based on a gradient descent technique. The proposed method is experimentally tested by varying of process parameters, set points and load disturbance. The level and temperature controls are used to evaluate the efficiency of our controller.

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