DocumentCode :
523247
Title :
Design optimization methods of an intelligent controller from a speed control system
Author :
Florescu, A. ; Radoi, C. ; Stanciu, D. ; Rosu, S.G. ; Stocklosa, O. ; Teodorescu, M.
Author_Institution :
Politeh. Univ. of Bucharest, Bucharest, Romania
Volume :
1
fYear :
2010
fDate :
28-30 May 2010
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents fuzzy logic simple and combined with evolution strategies and neuro-fuzzy designs of a duty-cycle compensation controller in order to linearize the nonlinear external characteristics family of a step-down or forward DC-DC converter that supplies DC motors. The controller is additionally introduced in high precision speed control systems. Comparisons between classical PI controllers and fuzzy controllers and are made. Advantages of combined methods of computational intelligence domain are revealed.
Keywords :
DC motors; DC-DC power convertors; PI control; angular velocity control; intelligent control; nonlinear control systems; DC motors; PI controllers; computational intelligence domain; design optimization methods; forward DC-DC converter; fuzzy controllers; intelligent controller; speed control system; Artificial intelligence; Computational intelligence; Control systems; DC motors; DC-DC power converters; Design optimization; Fuzzy logic; Neural networks; Switching converters; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-6724-2
Type :
conf
DOI :
10.1109/AQTR.2010.5520916
Filename :
5520916
Link To Document :
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