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Adaptive robust attitude control for UAVs: Design and experimental validation

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Odelga,  M
Project group: Autonomous Robotics & Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons192849

Rajappa,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Chriette, A., Plestan, F., Castañeda, H., Pal, M., Guillo, M., Odelga, M., et al. (2016). Adaptive robust attitude control for UAVs: Design and experimental validation. International Journal of Adaptive Control and Signal Processing, 30(8-10), 1478-1493. doi:10.1002/acs.2630.


Cite as: http://hdl.handle.net/21.11116/0000-0000-7973-7
Abstract
The main contribution of the paper is to propose a scheme of attitude controller for a class of unmanned aerial vehicles based on an adaptive version of the super-twisting algorithm. This controller is based on a very recent second-order sliding mode controller, which is robust in spite of uncertainties and perturbations, ensures finite time convergence, reduces the chattering, increases the accuracy, and does not require time derivative of the sliding variable. A very important feature of the controller is its adaptive gain, which allows to design the controller without knowing bounds of the uncertainties and perturbations. This controller is validated by experimental results. Comparisons versus PID-based controller are made in order to evaluate the robustness of the closed-loop system when similar perturbations are acting.