Genetic algorithm optimized integral sliding mode control of a direct drive robot arm

B. S K K Ibrahim, R. Ngadengon, M. N. Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

3 Citations (Scopus)

Abstract

Trajectory tracking with high accuracy is a very challenging topic in direct drive robot control. This is due to the nonlinearities and input couplings present in the dynamics of the arm. Modelling difficulties like these have forced to use simplified or linearised models. Currently, one widely adopted approach in control engineering to overcome these modelling difficulties involves robust control, such as the sliding mode control. However there is a serious lack of effective or tractable in these control design methods since the designs mostly based on trial-and-error simulations. This paper presents the development of an integral sliding mode controller for the tracking problem of a 2 DOF direct drive robot arm based on genetic algorithm automated approach. A robust integral sliding mode controller is derived so that the actual trajectory tracks the desired trajectory as closely as possible.

Original languageEnglish
Title of host publication2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012
PublisherIEEE
Pages328-333
Number of pages6
ISBN (Print)9781467308137
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 International Conference on Control, Automation and Information Sciences - Saigon, Viet Nam
Duration: 26 Nov 201229 Nov 2012

Publication series

Name2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012

Conference

Conference2012 International Conference on Control, Automation and Information Sciences
Abbreviated title ICCAIS 2012
CountryViet Nam
CitySaigon
Period26/11/1229/11/12

Fingerprint

Sliding mode control
Genetic algorithms
Trajectories
Robots
Controllers
Robust control

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering

Cite this

Ibrahim, B. S. K. K., Ngadengon, R., & Ahmad, M. N. (2012). Genetic algorithm optimized integral sliding mode control of a direct drive robot arm. In 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012 (pp. 328-333). [6466612] (2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012). IEEE. https://doi.org/10.1109/ICCAIS.2012.6466612

Genetic algorithm optimized integral sliding mode control of a direct drive robot arm. / Ibrahim, B. S K K; Ngadengon, R.; Ahmad, M. N.

2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012. IEEE, 2012. p. 328-333 6466612 (2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Ibrahim, BSKK, Ngadengon, R & Ahmad, MN 2012, Genetic algorithm optimized integral sliding mode control of a direct drive robot arm. in 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012., 6466612, 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012, IEEE, pp. 328-333, 2012 International Conference on Control, Automation and Information Sciences, Saigon, Viet Nam, 26/11/12. https://doi.org/10.1109/ICCAIS.2012.6466612
Ibrahim BSKK, Ngadengon R, Ahmad MN. Genetic algorithm optimized integral sliding mode control of a direct drive robot arm. In 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012. IEEE. 2012. p. 328-333. 6466612. (2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012). https://doi.org/10.1109/ICCAIS.2012.6466612
Ibrahim, B. S K K ; Ngadengon, R. ; Ahmad, M. N. / Genetic algorithm optimized integral sliding mode control of a direct drive robot arm. 2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012. IEEE, 2012. pp. 328-333 (2012 International Conference on Control, Automation and Information Sciences, ICCAIS 2012).
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