<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Abstract In this paper, sliding mode control is used to develop two passive fault tolerant controllers for an AscTec Pelican UAV quadrotor. In the first approach, a regular sliding mode controller (SMC) augmented with an integrator uses the robustness property of variable structure control to tolerate partial actuator faults. The second approach is a cascaded sliding mode controller with an inner and outer SMC loops. In this configuration, faults are tolerated in the fast inner loop controlling the velocity system. Tuning the controllers to find the optimal values of the sliding mode controller gains is made using the ecological systems algorithm (ESA), a biologically inspired stochastic search algorithm based on the natural equilibrium of animal species. The controllers are tested using SIMULINK in the presence of two different types of actuator faults, partial loss of motor power affecting all the motors at once, and partial loss of motor speed. Results of the quadrotor following a continuous path demonstrated the effectiveness of the controllers, which are able to tolerate a significant number of actuator faults despite the lack of hardware redundancy in the quadrotor system. Tuning the controller using a faulty system improves further its ability to afford more severe faults. Simulation results show that passive schemes reserve their important role in fault tolerant control and are complementary to active techniques</p></abstract>

In this paper, sliding mode control is used to develop two passive fault tolerant controllers for an AscTec Pelican UAV quadrotor. In the first approach, a regular sliding mode controller (SMC) augmented with an integrator uses the robustness property of variable structure control to tolerate partial actuator faults. The second approach is a cascaded sliding mode controller with an inner and outer SMC loops. In this configuration, faults are tolerated in the fast inner loop controlling the velocity system. Tuning the controllers to find the optimal values of the sliding mode controller gains is made using the ecological systems algorithm (ESA), a biologically inspired stochastic search algorithm based on the natural equilibrium of animal species. The controllers are tested using SIMULINK in the presence of two different types of actuator faults, partial loss of motor power affecting all the motors at once, and partial loss of motor speed. Results of the quadrotor following a continuous path demonstrated the effectiveness of the controllers, which are able to tolerate a significant number of actuator faults despite the lack of hardware redundancy in the quadrotor system. Tuning the controller using a faulty system improves further its ability to afford more severe faults. Simulation results show that passive schemes reserve their important role in fault tolerant control and are complementary to active techniques

Design of passive fault-tolerant controllers of a quadrotor based on sliding mode theory

LSIS Lab Aix-Marseille University, Domaine Universitaire de Saint-Jérôme, Batiment Polytech Avenue Escadrille Normandie-Niemen, 13397 Marseille, France

Electrical & Electronics Engineering (EEE) Department

Electrical Engineering Department United Arab Emirates University, P. O. Box 15551, Al Muwaiji, Al Ain, United Arab Emirates

French Air Force Academy, Base aérienne 701, Chemin de Saint Jean, 13661, Salon-de-Provence, France

International Journal of Applied Mathematics and Computer Science

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

In this paper, sliding mode control is used to develop two passive fault tolerant controllers for an AscTec Pelican UAV quadrotor. In the first approach, a...

Design of passive fault-tolerant controllers of a quadrotor based on sliding mode theory

Online veröffentlicht: 30. Sept. 2015

Seitenbereich: 561 - 576

Eingereicht: 21. Apr. 2014

DOI: https://doi.org/10.1515/amcs-2015-0042

© by Hassan Noura

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