<abstract xmlns="http://www.w3.org/1999/xhtml"><p> A solution for fault tolerant control (FTC) of a quadrotor unmanned aerial vehicle (UAV) is proposed. It relies on model reference-based control, where a reference model generates the desired trajectory. Depending on the type of reference model used for generating the reference trajectory, and on the assumptions about the availability and uncertainty of fault estimation, different error models are obtained. These error models are suitable for passive FTC, active FTC and hybrid FTC, the latter being able to merge the benefits of active and passive FTC while reducing their respective drawbacks. The controller is generated using results from the robust linear parameter varying (LPV) polytopic framework, where the vector of varying parameters is used to schedule between uncertain linear time invariant (LTI) systems. The design procedure relies on solving a set of linear matrix inequalities (LMIs) in order to achieve regional pole placement and H∞ norm bounding constraints. Simulation results are used to compare the different FTC strategies.</p></abstract>

A solution for fault tolerant control (FTC) of a quadrotor unmanned aerial vehicle (UAV) is proposed. It relies on model reference-based control, where a reference model generates the desired trajectory. Depending on the type of reference model used for generating the reference trajectory, and on the assumptions about the availability and uncertainty of fault estimation, different error models are obtained. These error models are suitable for passive FTC, active FTC and hybrid FTC, the latter being able to merge the benefits of active and passive FTC while reducing their respective drawbacks. The controller is generated using results from the robust linear parameter varying (LPV) polytopic framework, where the vector of varying parameters is used to schedule between uncertain linear time invariant (LTI) systems. The design procedure relies on solving a set of linear matrix inequalities (LMIs) in order to achieve regional pole placement and H∞ norm bounding constraints. Simulation results are used to compare the different FTC strategies.

Robust Quasi–LPV Model Reference FTC of a Quadrotor Uav Subject to Actuator Faults

Automatic Control Department Polytechnic University of Catalonia (UPC), Rambla de Sant Nebridi, 11, 08222 Terrassa, Spain

Institute of Robotics and Industrial Informatics UPC-CSIC, Carrer de Llorens i Artigas, 4-6, 08028 Barcelona, Spain

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A solution for fault tolerant control (FTC) of a quadrotor unmanned aerial vehicle (UAV) is proposed. It relies on model reference-based control, where a...

Robust Quasi–LPV Model Reference FTC of a Quadrotor Uav Subject to Actuator Faults

Publié en ligne: 25 mars 2015

Pages: 7 - 22

Reçu: 18 janv. 2014

DOI: https://doi.org/10.1515/amcs-2015-0001

© by Damiano Rotondo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.