Research Article

DEVELOPING LINEAR AND NONLINEAR MODELS OF ABB IRB120 INDUSTRIAL ROBOT WITH MAPLESIM MULTIBODY MODELLING SOFTWARE

Number: 1 November 9, 2017
  • Onder Tutsoy
  • İsmail Calikusu
  • Sule Colak
  • Orang Vahid
  • Duygun Erol Barkana
  • Fatma Gongor
EN

DEVELOPING LINEAR AND NONLINEAR MODELS OF ABB IRB120 INDUSTRIAL ROBOT WITH MAPLESIM MULTIBODY MODELLING SOFTWARE

Abstract

Industrial robots have been extensively used in various industrial applications due to a number of advantages such as accuracy and speed in performing tasks. To achieve complex applications with industrial robots, sophisticated controllers should be developed; henceforth, precise model of the industrial robots must be obtained by using multibody modelling softwares. The purpose of this paper is to create an ABB IRB120 industrial robot representation for simulating and analyzing dynamics and kinematics of the industrial robots by using MapleSim. In addition, this paper presents how linear and nonlinear models of the robot can be obtained and makes available them to public. Therefore, it will be possible to design linear and nonlinear controllers for ABB IRB 120 industrial robot by using the developed models, without requiring any multibody modeling

Keywords

References

  1. Rigatos, G. G. (2009). Model-based and model-free control of flexible-link robots: A comparison between representative methods. Applied Mathematical Modelling, 33(10), 3906-3925. Piotrowski, N. O. R. B. E. R. T., & Barylski, A. D. A. M. (2014). Modelling a 6-DOF manipulator using Matlab software. Archives of Mechanical Technology and Automation, 34(3), 45-55. Asif, U., & Iqbal, J. (2013). Modeling, Simulation and Motion Cues Visualization of a Six-DOF Motion Platform for Micro-Manipulations. In Advanced Engineering and Computational Methodologies for Intelligent Mechatronics and Robotics (pp. 137-151). IGI Global. Tutsoy, O., Brown, M., & Wang, H. (2012, September). Reinforcement learning algorithm application and multi-body system design by using MapleSim and Modelica. In Advanced Mechatronic Systems (ICAMechS), 2012 International Conference on (pp. 650-655). IEEE. Docquier, N., Poncelet, A., & Fisette, P. (2013). ROBOTRAN: a powerful symbolic generator of multibody models. Mechanical Sciences, 4(1), 199-219. Geddes, K. O., & Fee, G. J. (1992, August). Hybrid symbolic-numeric integration in MAPLE. In Papers from the international symposium on Symbolic and algebraic computation (pp. 36-41). ACM. Ghozlane, W., & Knani, J. (2016, December). Modelling and simulation using mathematical and CAD model of a robot with six degrees of freedom. In Control Engineering & Information Technology (CEIT), 2016 4th International Conference on (pp. 1-5). IEEE. Shah, H., Tripathi, S., Lee, L. F., & Krovi, V. (2010). Role of Automated Symbolic Generation of Equations of Motion to Enhance Robotics Education. ASEE Computers in Education Journal. Švaňa, J. (2016). Modelování s využitím Maple a MapleSim (Doctoral dissertation, Masarykova univerzita, Fakulta informatiky). Tripathi, S. (2010). Role of symbolic computation in linear and model-based controller development (Doctoral dissertation, Faculty of the Graduate School of The University at Buffalo, State University of New York).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Onder Tutsoy This is me

Sule Colak This is me

Orang Vahid This is me

Duygun Erol Barkana This is me

Fatma Gongor This is me

Publication Date

November 9, 2017

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2017 Number: 1

APA
Tutsoy, O., Calikusu, İ., Colak, S., Vahid, O., Barkana, D. E., & Gongor, F. (2017). DEVELOPING LINEAR AND NONLINEAR MODELS OF ABB IRB120 INDUSTRIAL ROBOT WITH MAPLESIM MULTIBODY MODELLING SOFTWARE. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 1, 273-285. https://izlik.org/JA25ZG66UD