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Model Reference Adaptive Control of Switched Dynamical Systems with Applications to Aerial Robotics

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Abstract

This paper presents an adaptive control law for unknown nonlinear switched plants that must follow the trajectory of user-defined linear switched reference models. The effectiveness of the proposed control architecture is proven in two alternative frameworks, that is, analyzing Carathéodory and Filippov solutions of discontinuous differential equations. Numerical and experimental data verify the applicability of the theoretical results to problems of practical interest. The proposed numerical simulation involves the design of a model reference adaptive control law to regulate the roll dynamics of a reconfigurable delta-wing aircraft. The proposed flight tests involve an aerial robot tasked with autonomously mounting a camera of unknown inertial properties to a vertical surface.

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Authors and Affiliations

  1. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA

    Robert B. Anderson, Julius A. Marshall & Andrea L’Afflitto

  2. CCDC Army Research Laboratory, Aberdeen Proving Ground, Adelphi, MD, 21005, USA

    James M. Dotterweich

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  1. Robert B. Anderson
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  2. Julius A. Marshall
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  3. Andrea L’Afflitto
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  4. James M. Dotterweich
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Correspondence to Andrea L’Afflitto.

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This work was supported in part by the US Army Research Lab (ARL), DARPA, and ONR under Grants no. 40304747, D18AP00069, and N000141912422, respectively.

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Anderson, R.B., Marshall, J.A., L’Afflitto, A. et al. Model Reference Adaptive Control of Switched Dynamical Systems with Applications to Aerial Robotics. J Intell Robot Syst 100, 1265–1281 (2020). https://doi.org/10.1007/s10846-020-01260-7

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