Litcius/Paper detail

<i>Neural-FxSMC</i>: A Robust Adaptive Neural Fixed-Time Sliding Mode Control for Quadrotors With Unknown Uncertainties

Subhash Chand Yogi, Laxmidhar Behera, Twinkle Tripathy

2024IEEE Robotics and Automation Letters20 citationsDOI

Abstract

This paper presents <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neural-FxSMC</i> , a robust and precise control scheme for quadrotors to counter unknown dynamics, uncertainties, and external disturbances. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neural-FxSMC</i> , ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</i> ) addresses fixed-time convergence of the tracking error, control singularity, and chattering issues simultaneously, which is not possible with the existing Fixed time Sliding Mode Control (FxSMC), and ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ii</i> ) relaxes the a priori bound assumption over the uncertainties that are often considered as a constant or a state-dependent upper bound. The fixed-time convergence of tracking error is guaranteed by establishing fixed-time convergence of the Non-singular Fast Terminal Sliding Surface (NFTSS), contrary to the existing works where the NFTSS convergence depends on initial conditions. The Chattering is suppressed via Radial Basis Function Network (RBFN) based uncertainties estimation. Finally, using the Lyapunov theory, we prove the fixed-time convergence and boundedness of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neural-FxSMC</i> weights. We comprehensively evaluate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neural-FxSMC</i> in challenging scenarios such as unknown payload and turbulent wind. Our <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neural-FxSMC</i> , apart from handling unknown dynamics and uncertainties, also offers direct gravity compensation without using quadrotor mass and gravity.

Topics & Concepts

Convergence (economics)Artificial neural networkComputer scienceAdaptive controlA priori and a posterioriMathematicsAlgorithmControl theory (sociology)Artificial intelligenceControl (management)PhilosophyEpistemologyEconomicsEconomic growthAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming ControlDistributed Control Multi-Agent Systems