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Backstepping Controller with Intelligent Parameters Selection for Stabilization of Quadrotor Helicopter
Author(s) -
Mohd Ariffanan Mohd Basri,
Abdul Rashid Husain,
Kumeresan A. Danapalasingam
Publication year - 2014
Publication title -
journal of engineering science and technology review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 28
eISSN - 1791-9320
pISSN - 1791-2377
DOI - 10.25103/jestr.072.10
Subject(s) - backstepping , control theory (sociology) , control engineering , controller (irrigation) , noise (video) , lyapunov function , fuzzy logic , engineering , computer science , stability (learning theory) , attitude control , lyapunov stability , nonlinear system , control (management) , artificial intelligence , adaptive control , image (mathematics) , agronomy , physics , quantum mechanics , machine learning , biology
backstepping controller (IBC) is designed for the quadrotor altitude and attitude stabilization in the existence of external disturbances and measurement noise. The designed controller consists of a backstepping controller which can automatically select its parameters on-line by a fuzzy supervisory mechanism. The stability criterion for the stabilization of the quadrotor is proven by the Lyapunov theorem. Several numerical simulations using the dynamic model of a four degree of freedom (DOF) quadrotor helicopter show the effectiveness of the approach. Besides, the simulation results indicate that the proposed design techniques can stabilize the quadrotor helicopter with better performance than established linear design techniques.

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