DocumentCode
3275004
Title
Optimal tuning of scaling factors and membership functions for mamdani type PID fuzzy controllers
Author
Sebastiao, Ana ; Lucena, C. ; Palma, L. ; Cardoso, A. ; Gil, Paulo
Author_Institution
Dept. Eng. Electrotec., Univ. Nova de Lisboa, Almada, Portugal
fYear
2015
fDate
20-22 May 2015
Firstpage
92
Lastpage
96
Abstract
This study addresses the problem of tuning Mamdani-type fuzzy Proportional-Integral-Derivative controllers by solving a constrained nonlinear optimisation problem. Two different schemes are discussed. One considers merely the scaling factors optimisation, while assuming the membership functions width unchanged. In second methodology both scaling factors and membership functions width adjusted. The cost function under minimisation is chosen as the closed loop performance index, with the system dynamics described by a nonlinear model. In addition, a set of constraints to the optimisation problem are taken into account, namely bounds on scaling factors, control actions and also on the system outputs. For the second approach, extra constraints on membership functions width are also included in problem formulation. Experimental results carried out on a Multi-Input Multi-Output benchmark system shows the out-performance of considering the optimising of both scaling factors and membership function widths.
Keywords
MIMO systems; closed loop systems; fuzzy control; nonlinear control systems; optimal control; optimisation; three-term control; Mamdani type PID fuzzy controllers; closed loop performance index; constrained nonlinear optimisation; membership functions; multi-input multi-output benchmark system; optimal tuning; proportional-integral-derivative controllers; scaling factors; Biological neural networks; Cost function; Fuzzy logic; Niobium; Tuning; Mamdani type PID fuzzy controllers; membership functions; scaling factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Robotics (ICCAR), 2015 International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4673-7522-1
Type
conf
DOI
10.1109/ICCAR.2015.7166009
Filename
7166009
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