NDLI: Applied intelligent control - control of automotive paint process

Content Provider	IEEE Xplore Digital Library
Author	Filev, D.
Copyright Year	2002
Description	Author affiliation: Ford Motor Co., Detroit, MI, USA (Filev, D.)
Abstract	We present an intelligent control algorithm that is targeted to process control of the steady state of a class of industrial MIMO nonlinear systems. The algorithm, called the RBIC intelligent control algorithm, combines the conventional indirect adaptive control approach with a rule base of initial conditions (RBIC) - an intelligent tool improving the conventional indirect adaptive algorithm in the presence of large disturbances and multiple operating modes. The RBIC operates as an associative memory that periodically reinitializes the indirect adaptive control algorithm by using a fuzzy reasoning inference mechanism. We discuss the main features and application aspects of the RBIC intelligent control algorithm. We also demonstrate one large scale process control application of the RBIC intelligent control algorithm as the main component of Ford Motor Company's integrated paint quality control system.
Sponsorship	IEEE IEEE Neural Networks Soc
Starting Page	1
Ending Page	6
File Size	462327
Page Count	6
File Format	PDF
ISBN	0780372808
DOI	10.1109/FUZZ.2002.1004949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent control Automotive engineering Paints Inference algorithms Process control Adaptive control Steady-state Electrical equipment industry Industrial control MIMO
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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