NDLI: Swarm Intelligence Based Fuzzy Controller -- A Design for Nonlinear Water Level Tank

Content Provider	IEEE Xplore Digital Library
Author	Joshani, M. Khalid, M. Yusof, R. Cahyadi, A.I.
Copyright Year	2012
Abstract	Fuzzy direct controllers are being used widely in industry these days. One of the benefits of fuzzy controllers is their ability to control unidentified processes which lets a model free controlling scheme; but on the other hand, an efficient fuzzy direct controller design, strictly depends on human expert and knowledge of a certain process. This will limit the ability of noncontrol specialists to apply fuzzy controllers on various ranges of plants. In this paper, a fuzzy direct controller is optimized in rule base using Particle Swarm Optimization algorithm. The optimization is performed subjected to minimize the output error surface of a nonlinear water level tank process. An offline Sugeno-Fuzzy system identifier is employed to prepare the evaluation function for particle swarm algorithm. Results show that the proposed controller performance is much better than simple human knowledge tuned controller.
Starting Page	451
Ending Page	456
File Size	412761
Page Count	6
File Format	PDF
ISBN	9781467308861
DOI	10.1109/ISMS.2012.143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Fuzzy logic Fuzzy sets Sugeno Fuzzy Identifier Process control Humans Rule Based fuzzy system Particle Swarm optimization (PSO) Optimization Fuzzy systems Fuzzy logic Controller
Content Type	Text
Resource Type	Article

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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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