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