Design of a genetic-fuzzy inverse controller for a slider crank mechanism

Author

Farzadpour, Farsam ; Faraji, Hossein

Author_Institution

Young Res. Club, Islamic Azad Univ., Isfahan, Iran

fYear

2013

fDate

8-8 April 2013

Firstpage

1

Lastpage

7

Abstract

Many research efforts have been made to develop the slider-crank mechanism. Design of a genetic-fuzzy inverse controller for a slider crank mechanism with the piston cylinder drive is studied. This mechanism converts the translating motion into rotating motion. In this approach, the computed torque is implemented to obtain high speed and precise position tracking also; compensation of unknown uncertainties and disturbances is achieved using Mamdani-type fuzzy controller. The fuzzy controller parameters are optimized using a genetic algorithm. Computer simulations are carried out, and the results are presented to illustrate high tracking capability and effectiveness of the proposed control approach.

Keywords

control system synthesis; drives; fuzzy control; genetic algorithms; motion control; position control; shafts; Mamdani-type fuzzy controller; control approach; genetic algorithm; genetic-fuzzy inverse controller design; piston cylinder drive; position tracking; rotating motion; slider crank mechanism; translating motion; Equations; Force; Fuzzy logic; Genetic algorithms; Mathematical model; Trajectory; Uncertainty; Computed Torque Control; Fuzzy Control; Genetic Algorithm; Slider-Crank Mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

AI & Robotics and 5th RoboCup Iran Open International Symposium (RIOS), 2013 3rd Joint Conference of

Conference_Location

Tehran

Type

conf

DOI

10.1109/RIOS.2013.6595330

Filename

6595330