SciELO - Scientific Electronic Library Online

 
vol.12 número5Multi-Objective Lead-Time Control Problem with Stochastic ConstraintsDistributed PSO Algorithm for Data Model Partitioning in Power Distribution Systems índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Journal of applied research and technology

versão On-line ISSN 2448-6736versão impressa ISSN 1665-6423

J. appl. res. technol vol.12 no.5 Ciudad de México Out. 2014

 

Simulation of Control of a Scara Robot Actuated by Pneumatic Artificial Muscles Using RNAPM

 

F. Escobar*, S. Díaz, C. Gutiérrez, Y. Ledeneva, C. Hernández, D. Rodríguez and R. Lemus

 

Group of Systems Engineering and Robotics Instituto Tecnológico de Toluca Metepec, Estado de México, México. *jf.escobar.a@gmail.com

 

Abstract

This paper describes the simulation of movement control of a one-degree-of-freedom articulated robot arm SCARA actuated by a pair of McKibben pneumatic artificial muscles. The pneumatic artificial muscle is the actuator and emulates the behavior of biological muscles; due to its nonlinear behavior, there is also a need to develop control systems for robot arms using this type of actuator. Research begins with the transfer function that represents, in mathematical language, the movement of the robot arm's joints; this allows using a PID controller on the transfer function and generating data to train the Multilayer Perceptron Artificial Neural Network (RNAPM). So far, the PID control system has been able to control the movement of robot arms but, based on experimental tests, the RNAPM has proved to outperform the PID control's response time by up to 2.95 seconds, minimizing the angular error by 1.3° and avoiding the oscillation problem due to its continuous, constant behavior.

Keywords: Control Systems, Artificial Neural Networks, Multilayer Perceptron, Pneumatic Artificial Muscle.

 

DESCARGAR ARTÍCULO EN FORMATO PDF

 

Acknowledgments

We would like to thank PROMEP [Program for the Improvement of the Faculty] for its support and sponsorship to carry out this research, which is part of the project "Study and Characterization of a Pneumatic Artificial Mini-Muscle Prototype under Static and Dynamic Conditions", code ITTOL-PTC-002, from the call for proposals "Support to Admit New Full-Time Professors, Call for Proposals 2009". We would also like to acknowledge DGEST's support for the approval of the project "Prototype of a virtual system of a McKibben antagonist pair of pneumatic artificial muscle mini-actuators", code TOL-DCIET-2010-102, which has been the basis to continue the research for this project.

 

References

[1] B. Tondu, V. Boitier, P. López., Naturally Compliant Robot-Arms Actuated By Mckibben Artificial Muscles, IEEE International Conference, October 1994, pp. 2635-2637.         [ Links ]

[2] B. Tondu, P. López., Modeling and Control of Mckkiben Artificial Muscle Robot Actuators, IEEE Control Systems Magazine, April 2000, pp. 22-29.         [ Links ]

[3] Adolfo Hilario Caballero, Pablo Carbonell Cortés., Prototipo Experimental para la Identificación y Control de Actuadores por Músculo Neumático, Elsevier -Revista Iberoamericana de Automática e Informática Industrial, Spain 2003, pp. 1-3, 7-8.         [ Links ]

[4] Oscar Vivas., Predictive Control of a Scara Robot, Ingeniare - Revista Chilena de Ingeniería, Chile 2006, pp. 135.         [ Links ]

[5] B. Tondu, S. Ippolito, J. Guiochet, A. Daidie., A Seven Degrees of Freedom Robot Arm Driven by Pneumatic Artificial Muscles for Humanoid Robots, The International Journal of Robotics Research, April 2005, pp. 268-272.         [ Links ]

[6] Zeliko Situm, Srecko Herceg., Design and Control of a Manipulator Arm Driven by Pneumatic Muscle Actuators, Mediterranean Conference on Control and Automation, Centre, Ajaccio, France, June 2008, pp. 927-929.         [ Links ]

[7] Tae-Yong Choi, Joon-Hong Seok, Ju-Jang Lee., Safe Robot with Artificial Pneumatic Muscle, IEEE International Symposium on Industrial Electronics, July 2009, pp. 1434-1437.         [ Links ]

[8] Javier Trujillano, Jaume March, Albert Sorribas., Aproximación Metodológica al uso de Redes Neuronales Artificiales para la Predicción de Resultados en Medicina, Elsevier - Departament de Ciències Mèdiques Bàsiques. Universitat de Lleida, Spain 2004, pp. 59 ,63.         [ Links ]

[9] Selim Eskiizmirliler, B. Tondu, C. Darlot., Motor Control of a Limb Segment Actuated by Artificial Muscles, Proceedings 23rd Annual Conference IEEE, Turkey 2001, pp. 1-2.         [ Links ]

[10] Ruth Lezama Morales., Modélisation et programmation d'un robot anthropomorphe à 7 degrés de liberté actionné par muscles artificiels pneumatiques, PhD thesis, Institut National des Sciences appliquées, Touluse, France 2008, pp. 10-12, 43, 63, 68-71.         [ Links ]

[11] Sergio Díaz Zagal., Conception et Développement d' un Mini-Actionneur à Muscle Artificial. Application à la Robotique Médicale, PhD thesis, Institut National des Sciences appliquées, Touluse, France 2007, pp. 44-57.         [ Links ]

[12] Katsuhiko Ogata., Ingeniería de Control Moderna, Prentice Hall 4ta Ed. 2008, pp. 60.         [ Links ]

[13] Subir Kumar Saha., Introducción a la Robótica, Mc Graw Hill 1era Ed. 2010, pp. 239.         [ Links ]

[14] Kyoung Kwan Ahn, Huynh Thai Chau Nguyen., Intelligent switching control of a pneumatic muscle robot arm using learning vector quantization neural network, Elsevier - Mechatronics 2007, pp. 257-259.         [ Links ]

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons