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Constrained anti-disturbance control for a quadrotor based on differential flatness

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journal contribution
posted on 19.10.2016, 10:52 by Hao Lu, Cunjia Liu, Lei Guo, Wen-Hua Chen
The classical control design based on linearised model is widely used in practice even to those inherently nonlinear systems. Although linear design techniques are relatively mature and enjoy the simple structure in implementations, they can be prone to misbehaviour and failure when the system state is far away from the operating point. To avoid the drawbacks and exploit the advantages of linear design methods while tackling the system nonlinearity, a hybrid control structure is developed in this paper. First, the model predictive control is used to impose states and inputs constraints on the linearised model, which makes the linearisation satisfy the small-perturbation requirement and reduces the bound of linearisation error. On the other hand, a combination of disturbance observer based control and H1 control, called composite hierarchical anti-disturbance control, is constructed for the linear model to provide robustness against multiple disturbances. The constrained reference states and inputs generated by the outer-loop model predictive controller are asymptotically tracked by the inner-loop composite anti-disturbance controller. To demonstrate the performance of the proposed framework, a case study on quadrotor is conducted.



  • Aeronautical, Automotive, Chemical and Materials Engineering


  • Aeronautical and Automotive Engineering

Published in

International Journal of Systems Science


LU, H. ... et al, 2016. Constrained anti-disturbance control for a quadrotor based on differential flatness. International Journal of Systems Science, 48 (6), pp. 1182-1193.


© Taylor & Francis


AM (Accepted Manuscript)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This is an Accepted Manuscript of an International Journal of Systems Science on 20 Oct 2016, available online: http://dx.doi.org/10.1080/00207721.2016.1244307