4.7 Article

Modeling and control of a class of urban air mobility tiltrotor aircraft

期刊

AEROSPACE SCIENCE AND TECHNOLOGY
卷 124, 期 -, 页码 -

出版社

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ast.2022.107561

关键词

Urban air mobility; Tiltrotor; Flight mechanics; Control

资金

  1. DENSO International America, Inc.

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This paper aims to develop a control-centric analytical formulation for the aeromechanics and flight dynamics of urban air mobility (UAM) vehicles. A comprehensive nonlinear rigid-body dynamic model is developed, and a linear parameter-varying model is utilized to design flight controllers for stable transition flight.
This paper aims at developing a control-centric analytical formulation for aeromechanics and flight dynamics of urban air mobility (UAM) vehicles. Such vehicles feature a hybrid configuration with tiltrotors and fixed wings, enabling vertical takeoff/landing capability while attaining level flight range and endurance. A comprehensive nonlinear rigid-body dynamic model is developed by incorporating multiple tiltrotor dynamics and their gyroscopic and inertial coupling effects. A quasi-steady aerodynamic formulation is used to derive the aerodynamic loads on all lifting surfaces. In addition to the conventional control surfaces of the fixed-wing aircraft, the tiltrotor angular positions and rotational speeds are also considered additional control inputs in the derivation of nonlinear flight dynamic equations. These nonlinear equations are then linearized with respect to a set of trimmed conditions to generate the corresponding linear time-invariant state-space models, which are best suited for flight control design. In particular, to capture the critical dynamical behaviors during the transition from vertical to forward flight, the linear models are attained at various angular positions of the tiltrotors. These linear models are then utilized to develop a linear parameter-varying (LPV) model in which the tiltrotor angular position is considered the scheduling parameter. Subsequently, the adaptive model predictive control (MPC) methodology is used to design the flight controllers to achieve a stable and smooth transition flight. The numerical simulations demonstrate the efficacy of the proposed modeling and control approach. (c) 2022 Elsevier Masson SAS. All rights reserved.

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