A control-oriented dynamic model of tiltrotor aircraft for urban air mobility

Weihua Su, Shen Qu, Guoming Zhu, Sean Shan Min Swei, Mariko Hashimoto, Tao Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper aims at developing an analytical flight dynamic formulation for urban air mobility (UAM) vehicles. Such vehicles feature tiltrotors for vertical takeoff/landing and fixed-wings for level flight. In this analytical formulation, a nonlinear rigid-body dynamic model is enhanced by incorporating multiple tiltrotor dynamics and their gyroscopic and inertial coupling effects. A quasi-steady aerodynamic formulation is implemented to calculate the aerodynamic loads on all lifting surfaces. In addition to the conventional control surfaces of the fixed-wing aircraft, such as elevator, aileron, and rudder, both tilt angle and rotational speed of each rotor are considered the control inputs in the formulation of nonlinear flight dynamics. These nonlinear dynamics are then linearized with respect to a set of trimmed flight conditions of interest to render the corresponding linear time-invariant state-space models used to create a linear parameter-varying (LPV) model as a function of flight condition (tilting). Adaptive MPC (model predictive control) methodology is then used to design controllers to achieve smooth tilting transition with simulation validation.

Original languageBritish English
Title of host publicationAIAA Scitech 2021 Forum
Pages1-20
Number of pages20
StatePublished - 2021
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: 11 Jan 202115 Jan 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period11/01/2115/01/21

Fingerprint

Dive into the research topics of 'A control-oriented dynamic model of tiltrotor aircraft for urban air mobility'. Together they form a unique fingerprint.

Cite this