Sensitivity-based self-learning fuzzy logic control for a servo system

Author

Kovacic, Zdenko ; Balenovic, Mario ; Bogdan, Stjepan

Author_Institution

Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia

Volume

18

Issue

3

fYear

1998

fDate

6/1/1998 12:00:00 AM

Firstpage

41

Lastpage

51

Abstract

Describes an experimental verification of a self-learning fuzzy logic controller (SLFLC). The SLFLC contains a learning algorithm that utilizes a second-order reference model and a sensitivity model related to the fuzzy controller parameters. The effectiveness of the proposed controller has been tested by experiment in the position control loop of a chopper fed DC servo system in the presence of a gravity-dependent shaft load and fairly high static friction. The experimental results prove that the SLFLC provides closed-loop behavior as desired and eliminates a steady-state position error

Keywords

DC motors; closed loop systems; fuzzy control; learning systems; machine control; position control; self-adjusting systems; servomotors; chopper fed DC servo system; closed-loop behavior; gravity-dependent shaft load; learning algorithm; position control loop; second-order reference model; sensitivity model; sensitivity-based self-learning fuzzy logic control; static friction; Choppers; Control systems; Friction; Fuzzy control; Fuzzy logic; Position control; Servomechanisms; Shafts; Steady-state; System testing;

fLanguage

English

Journal_Title

Control Systems, IEEE

Publisher

ieee

ISSN

1066-033X

Type

jour

DOI

10.1109/37.687619

Filename

687619