Title :
Fuzzy controller design using concretion based on boolean relations (CBR)
Author :
Espitia, Helbert E. ; Chamorro, Harold R. ; Soriano, Jose J.
Author_Institution :
Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
Abstract :
Fuzzy logic and its applications in control systems have shown a relevant importance in non-linear systems and industrial automation developments, however its main disadvantage is the computational cost involved, having effects on the system performance and its processing. In this document a new Concretion method based on Boolean relations (CBR) is presented, showing a methodology design, its fundamentals and the use of a related defuzzification method named Defuzzification based on Boolean Relations (DBR) which has been validated in previous works. The methodology is evaluated in a Buck-Boost converter and compared with a Mandani controller. Control and computational indices are considered demonstrating the quantitative performance and showing the advantages of the proposed method.
Keywords :
Boolean algebra; control system synthesis; factory automation; fuzzy logic; nonlinear control systems; power convertors; CBR; DBR; buck-boost converter; concretion based on boolean relation; control system design; defuzzification based on boolean relation; fuzzy controller design; fuzzy logic; industrial automation development; nonlinear control system; Design methodology; Distributed Bragg reflectors; Fuzzy logic; Fuzzy sets; PD control; Process control; Buck-Boost; Concretion based Boolean Relations; Defuzzification; Fuzzy Logic; Non-linear Dynamic Systems;
Conference_Titel :
Computational Intelligence (UKCI), 2012 12th UK Workshop on
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4673-4391-6
DOI :
10.1109/UKCI.2012.6335773