Task Based Mechatronic System Design using Differential Evolution Strategies

Fuente: Redalyc
Salvato in:
Dettagli Bibliografici
Autore principale: Carlos Alberto Cruz Villar
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2009
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1876475645613047808
author Carlos Alberto Cruz Villar
author_facet Carlos Alberto Cruz Villar
contents Task Based Mechatronic System Design using Differential Evolution Strategies Carlos Alberto Cruz Villar Jaime Álvarez Gallegos Miguel Gabriel Villarreal Cervantes Computación Parallel robot Task based design Mechatronic design System optimization Evolutionary algorithms A dynamic design approach for a mechatronic system called task based mechatronic system design approach (TBMSDA) is stated as a nonlinear dynamic optimization problem (NLDOP) and it is solved by using a differential evolution technique. The design of a parallel robot is carried out by this approach which integrates in a simultaneous way both the structure design parameters of a parallel robot and the PID controller gains in order to improve the position errors and the robot dexterity for executing a specific task. The TBMSDA considers the dynamic system as an equality constraint into the optimization problem. Through the TBMSDA, an optimal combination of the structure and PID controller gains for a planar five-bar parallel robot is obtained. Simulation results show the effectiveness of this design approach. 2009 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61513249002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.12
format Artículo científico
id redalyc_61513249002
institution Redalyc
language en
publishDate 2009
publisher Instituto Politécnico Nacional
spellingShingle Task Based Mechatronic System Design using Differential Evolution Strategies
Carlos Alberto Cruz Villar
Computación
Parallel robot
Task based design
Mechatronic design
System optimization
Evolutionary algorithms
Task Based Mechatronic System Design using Differential Evolution Strategies Carlos Alberto Cruz Villar Jaime Álvarez Gallegos Miguel Gabriel Villarreal Cervantes Computación Parallel robot Task based design Mechatronic design System optimization Evolutionary algorithms A dynamic design approach for a mechatronic system called task based mechatronic system design approach (TBMSDA) is stated as a nonlinear dynamic optimization problem (NLDOP) and it is solved by using a differential evolution technique. The design of a parallel robot is carried out by this approach which integrates in a simultaneous way both the structure design parameters of a parallel robot and the PID controller gains in order to improve the position errors and the robot dexterity for executing a specific task. The TBMSDA considers the dynamic system as an equality constraint into the optimization problem. Through the TBMSDA, an optimal combination of the structure and PID controller gains for a planar five-bar parallel robot is obtained. Simulation results show the effectiveness of this design approach. 2009 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61513249002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.12
title Task Based Mechatronic System Design using Differential Evolution Strategies
topic Computación
Parallel robot
Task based design
Mechatronic design
System optimization
Evolutionary algorithms
url https://www.redalyc.org/articulo.oa?id=61513249002