Hybrid actuator: Motion control using genetic algorithms

Abstract A hybrid actuator refers to a configuration combining the motions of two different electric motors with a mechanism to obtain a programmable output. This article presents an application of the genetic algorithm (GA) to determine optimal proportional-plus-integral-plus-derivative (PID) contr...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Vol. 223; no. 7; pp. 1657 - 1665
Main Authors Al, S, Dülger, L C, Kirecci, A
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.07.2009
SAGE PUBLICATIONS, INC
Subjects
Computer simulation
Construction
Electric motors
Genetic algorithms
Hybrid systems
Mathematical models
Mechanical engineering
Motion control
Motors
Optimization
Servocontrol
Servomotors
brushless DC motor
proportional-plus-integral-plus-derivative (PID) tuning
genetic algorithms
permanent magnet DC motor
motion control
hybrid actuator
Online AccessGet full text

Cover

More Information
Summary:Abstract A hybrid actuator refers to a configuration combining the motions of two different electric motors with a mechanism to obtain a programmable output. This article presents an application of the genetic algorithm (GA) to determine optimal proportional-plus-integral-plus-derivative (PID) controller parameters to drive a seven link mechanism with an adjustable crank. A previously built model for a hybrid actuator system is used to explore the application. Simulation results are included to show how position control on both servomotors is achieved using GAs in off-line implementation.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0954-4062
2041-2983
DOI:10.1243/09544062JMES1358