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
Link To Document :
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