A distributed model predictive control (D-MPC) for modular robots in chain configuration

F. Cortes, D. Linares, D. Patino, K. Melo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper shows the design of a distributed predictive control, applied to a robotic chain of six modules. The dynamic model is obtained for a single module which is validated through the SimMechanics blockset of MATLAB. With the obtained model, a controller is designed using different predictive control strategies to choose the one that shows a better performance in terms of overshoot and settling time. Finally, the predictive control is distributed up to six modules, and its performance is evaluated by varying typical parameters of the predictive control such as the horizons of prediction, the control horizon, and the weights among others.

Original languageEnglish
Title of host publication2011 IEEE 9th Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, LARC 2011 - Conference Proceedings
DOIs
StatePublished - 2011
Event2011 IEEE 9th Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, LARC 2011 - Bogota, D.C., Colombia
Duration: 01 Oct 201104 Oct 2011

Publication series

Name2011 IEEE 9th Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, LARC 2011 - Conference Proceedings

Conference

Conference2011 IEEE 9th Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, LARC 2011
Country/TerritoryColombia
CityBogota, D.C.
Period01/10/1104/10/11

Keywords

  • Dynamic Model
  • GPC (Generalized Predictive Control)
  • MPC (Model Predictive Control)
  • UMPC (Unconstrained Model Predictive Control)

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