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Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances
Author(s) -
Li Ding,
Yangmin Li
Publication year - 2020
Publication title -
international journal of micro air vehicles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 21
eISSN - 1756-8307
pISSN - 1756-8293
DOI - 10.1177/1756829320923563
Subject(s) - control theory (sociology) , terminal sliding mode , parametric statistics , controller (irrigation) , convergence (economics) , state observer , tracking (education) , control engineering , observer (physics) , computer science , sliding mode control , attitude control , engineering , control (management) , nonlinear system , mathematics , artificial intelligence , psychology , pedagogy , statistics , physics , quantum mechanics , agronomy , economics , biology , economic growth
The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.

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