NDLI: Crane control via parallel distributed fuzzy LQR controller using genetic fuzzy rule selection

Content Provider	IEEE Xplore Digital Library
Author	Adeli, M. Zarabadipour, H. Shoorehdeli, M.A.
Copyright Year	2011
Abstract	Overhead crane is an industrial structure that is widely used in many harbors and factories. It is usually operated manually or by some conventional control methods. In this paper, we propose a hybrid controller includes both position regulation and anti-swing control. According to Takagi-Sugeno fuzzy model of an overhead crane and genetic algorithm, a fuzzy controller is designed with parallel distributed compensation and Linear Quadratic Regulation. Using genetic algorithm, important fuzzy rules are selected and so the number of rules decreased and design procedure need less computation and its computation needs less time. Further, the stability of the overhead crane with the parallel distributed fuzzy LQR controller is discussed. The stability analysis and control design problems is reduced to linear matrix inequality (LMI) problems. Simulation results illustrated the validity of the proposed parallel distributed fuzzy LQR control method and it was compared with a similar method parallel distributed fuzzy controller with same fuzzy rule set.
Sponsorship	IEEE
Starting Page	390
Ending Page	395
File Size	243450
Page Count	6
File Format	PDF
ISBN	9781467316897
e-ISBN	9781467316903
DOI	10.1109/ICCIAutom.2011.6356689
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-27
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear Quadratic Regulation Cranes Control design Parallel distributed compensation Overhead crane Stability analysis Linear matrix inequalities Genetic algorithms Genetic algorithm Takagi_Sugeno fuzzy modeling Linear matrix inequality Mathematical model Nonlinear systems
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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