LPV Model-based Adaptive MPC of an eVTOL Aircraft During Tilt Transition Subject to Motor Failure
This paper applies novel LPV (linear parameter-varying) model and MPC (model predictive control) methods to a tilt-transition process with rotor failure for electric vertical take-off and landing aircraft of six distributed electric rotors with a fixed-wing for level flight, where two rotors are til...
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Published in | International journal of control, automation, and systems Vol. 21; no. 2; pp. 339 - 349 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Bucheon / Seoul
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
01.02.2023
Springer Nature B.V 제어·로봇·시스템학회 |
Subjects | |
Online Access | Get full text |
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Summary: | This paper applies novel LPV (linear parameter-varying) model and MPC (model predictive control) methods to a tilt-transition process with rotor failure for electric vertical take-off and landing aircraft of six distributed electric rotors with a fixed-wing for level flight, where two rotors are tiltable to generate variable thrust vector during the tilt-transition from hovering to steady-state level flight and the rest of four cannot be tilted. During the level flight, the aerodynamic lift induced by fixed wing maintains flight altitude. Based on a predefined nominal tilting trajectory scheduled by tilt-rotor angular position and the failed rotor speed, a discrete-time LPV model is constructed based on significantly reduced number of linear time invariant models obtained by linearizing the nonlinear eVTOL aircraft model along the tilting trajectory, where tilt-rotor angle and failed rotor speed can be measured in real-time. An LPV modeling error evaluation method is proposed based on the
σ
shifted
ℌ
2
norm, and adaptive model predictive controller is designed with the dynamic reference compensation. Simulation study indicated the success of the adaptive MPC strategy based on tilt-transition LPV model with rotor failure. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 http://link.springer.com/article/10.1007/s12555-021-0915-1 |
ISSN: | 1598-6446 2005-4092 |
DOI: | 10.1007/s12555-021-0915-1 |