DocumentCode
1633784
Title
Gain-scheduled Takagi-Sugeno fuzzy PI control methodology for LPV systems
Author
Silva, Joabe ; Serra, Ginalber
Author_Institution
Fed. Inst. of Educ., Sci. & Technol., So Lus-MA, Brazil
fYear
2009
Firstpage
222
Lastpage
227
Abstract
This work proposes a theoretical approach of gain-scheduled fuzzy PI control design based on gain and phase margins specifications for LPV (linear and parameters varying) systems, in the continuous time domain. A mathematical formulation from the Takagi-Sugeno fuzzy model structure as well as the PDC (parallel distributed compensation) strategy is developed. Analytical formulas are deduced for the PI subcontrollers parameters, in the robust fuzzy controller rules base, according to the fuzzy model parameters of the LPV plant to be controlled. Results of the necessary and sufficient conditions for the fuzzy controller design, from the proposed robust methodology, with one Axiom and two Theorems are also presented.
Keywords
PI control; compensation; continuous time systems; control system synthesis; fuzzy control; linear systems; robust control; continuous time domain; gain margins specifications; gain-scheduled Takagi-Sugeno fuzzy PI control design; linear and parameters varying systems; parallel distributed compensation strategy; phase margins specifications; robust fuzzy controller; Control engineering education; Educational technology; Fuzzy control; Fuzzy systems; Mathematical model; Pi control; Process control; Robust control; Takagi-Sugeno model; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
Conference_Location
Daejeon
Print_ISBN
978-1-4244-4808-1
Electronic_ISBN
978-1-4244-4809-8
Type
conf
DOI
10.1109/CIRA.2009.5423202
Filename
5423202
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