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Adaptive Attitude Control for Foldable Quadrotors

Karishma Patnaik, Wenlong Zhang

2023IEEE Control Systems Letters20 citationsDOI

Abstract

Recent quadrotors have transcended conventional designs, emphasizing more on foldable and reconfigurable bodies. The state of the art still focuses on the mechanical feasibility of such designs with limited discussions on the tracking performance of the vehicle during configuration switching. In this letter, we first present a common framework to analyse the attitude errors of a folding quadrotor via the theory of switched systems. We then employ this framework to investigate the attitude tracking performance for two case scenarios - one with a conventional geometric controller for precisely known system dynamics; and second, with our proposed morphology-aware adaptive controller that accounts for any modeling uncertainties and disturbances. Finally, we cater to the desired switching requirements from our stability analysis by exploiting the trajectory planner to obtain superior tracking performance while switching. Simulation results are presented that validate the proposed control and planning framework for a foldable quadrotor’s flight through a passageway.

Topics & Concepts

Control theory (sociology)Controller (irrigation)Computer scienceTrajectoryTracking (education)Control engineeringStability (learning theory)PlannerFolding (DSP implementation)State (computer science)Control (management)EngineeringArtificial intelligenceAlgorithmAstronomyPedagogyPsychologyAgronomyBiologyElectrical engineeringPhysicsMachine learningAdaptive Control of Nonlinear SystemsControl and Dynamics of Mobile RobotsRobotic Path Planning Algorithms
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