Emanuel Dogaru, Cristina Stoica, Emmanuel Godoy


This paper presents the application of several advanced control techniques to a nonlinear strongly coupled multivariable robot. The main difficulties come from the flexibility of the mechanical chain, but also from the lack of joints sensors. In a first stage, a state-feedback linear quadratic (LQG) technique and a model predictive control (MPC) are designed using optimal observers. Considering additional sensors that provide measurements of accelerations increases the robustness of the controlled system. The second stage consists into adding a supplementary robustness layer (i.e. explicitly considering the robust stability under unstructured uncertainties) on the stabilizing MPC developed at the previous stage. Comparative results are proposed highlighting the trade-off between robust stability and nominal performance for disturbances rejection.


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Paper Citation

in Harvard Style

Dogaru E., Stoica C. and Godoy E. (2011). ROBUSTIFIED CONTROL OF A MULTIVARIABLE ROBOT . In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-74-4, pages 290-299. DOI: 10.5220/0003534002900299

in Bibtex Style

author={Emanuel Dogaru and Cristina Stoica and Emmanuel Godoy},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

in EndNote Style

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
SN - 978-989-8425-74-4
AU - Dogaru E.
AU - Stoica C.
AU - Godoy E.
PY - 2011
SP - 290
EP - 299
DO - 10.5220/0003534002900299