Direct Self-Repairing Control for Quadrotor Helicopter Attitude Systems | Zendy

Huiliao Yang | Zendy; Bin Jiang | Zendy; Ke Zhang | Zendy

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Direct Self-Repairing Control for Quadrotor Helicopter Attitude Systems

Author(s) -

Huiliao Yang,

Bin Jiang,

Ke Zhang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/187345

Subject(s) - control theory (sociology) , actuator , convergence (economics) , lyapunov stability , controller (irrigation) , nonlinear system , lyapunov function , engineering , stability (learning theory) , attitude control , control engineering , computer science , control (management) , artificial intelligence , physics , machine learning , agronomy , economics , biology , economic growth , quantum mechanics

A quadrotor helicopter with uncertain actuator faults, such as loss of effectiveness and lock-in-place, is studied in this paper. An adaptive fuzzy sliding mode controller based on direct self-repairing control is designed for such nonlinear system to track the desired output signal, when any actuator of this quadrotor helicopter is loss of effectiveness or stuck at some place. Moreover, using the Lyapunov stability theory, the stability of the whole system and the convergence of the tracking error can be guaranteed. Finally, the availability of the proposed method is verified by simulation on 3-DOF hover to ensure that the system performance under faulty conditions can be quickly recovered to its normal level. And this proposed method is also proved to be better than that of LQR through simulation

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