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
Link To Document :
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