TU Darmstadt / ULB / TUbiblio

Incremental nonlinear dynamic inversion based path‐following control for a hybrid quad‐plane unmanned aerial vehicle

Zhou, Li ; Yang, Jingtao ; Strampe, Tilman ; Klingauf, Uwe (2023)
Incremental nonlinear dynamic inversion based path‐following control for a hybrid quad‐plane unmanned aerial vehicle.
In: International Journal of Robust and Nonlinear Control, 33 (17)
doi: 10.1002/rnc.6503
Artikel, Bibliographie

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (Abstract)

Hybrid quad‐plane unmanned aerial vehicles (UAVs), which combine the advantages of multicopters and fixed‐wing UAVs, are gaining increasing attention. However, quad‐planes are characterized by complex structures, high nonlinearity, strong coupling, and three flight regimes (hover, transition, and fixed‐wing flight), which bring great challenges to the research of their control laws. This article aims to design control laws for a quad‐plane in fixed‐wing and hover flight regimes based on a robust nonlinear control method, incremental nonlinear dynamic inversion (INDI), so that the quad‐plane can follow a given path autonomously. Firstly, a mathematical model of the quad‐plane is established on the basis of kinematics and dynamics. Subsequently, cascade control structures are proposed and divided into inner and outer loops. A control law is designed for each control loop based on INDI. To improve the performance of the designed control law, reference models are added to the inner loops to shape the input commands and provide feedforward inputs. Finally, simulation results corroborate the performance and robustness of the proposed control law. Compared with the control law designed by active disturbance rejection control and proportional‐integral‐derivative control methods, the INDI‐based control law is more robust.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Zhou, Li ; Yang, Jingtao ; Strampe, Tilman ; Klingauf, Uwe
Art des Eintrags: Bibliographie
Titel: Incremental nonlinear dynamic inversion based path‐following control for a hybrid quad‐plane unmanned aerial vehicle
Sprache: Englisch
Publikationsjahr: 25 November 2023
Ort: New York
Verlag: John Wiley & Sons
Titel der Zeitschrift, Zeitung oder Schriftenreihe: International Journal of Robust and Nonlinear Control
Jahrgang/Volume einer Zeitschrift: 33
(Heft-)Nummer: 17
DOI: 10.1002/rnc.6503
Zugehörige Links:
Kurzbeschreibung (Abstract):

Hybrid quad‐plane unmanned aerial vehicles (UAVs), which combine the advantages of multicopters and fixed‐wing UAVs, are gaining increasing attention. However, quad‐planes are characterized by complex structures, high nonlinearity, strong coupling, and three flight regimes (hover, transition, and fixed‐wing flight), which bring great challenges to the research of their control laws. This article aims to design control laws for a quad‐plane in fixed‐wing and hover flight regimes based on a robust nonlinear control method, incremental nonlinear dynamic inversion (INDI), so that the quad‐plane can follow a given path autonomously. Firstly, a mathematical model of the quad‐plane is established on the basis of kinematics and dynamics. Subsequently, cascade control structures are proposed and divided into inner and outer loops. A control law is designed for each control loop based on INDI. To improve the performance of the designed control law, reference models are added to the inner loops to shape the input commands and provide feedforward inputs. Finally, simulation results corroborate the performance and robustness of the proposed control law. Compared with the control law designed by active disturbance rejection control and proportional‐integral‐derivative control methods, the INDI‐based control law is more robust.

Freie Schlagworte: hybrid quad‐plane unmanned aerial vehicle, incremental nonlinear dynamic inversion, nonlinear control, path following
Zusätzliche Informationen:

Special Issue: Advanced Control and Estimation applied to Aerial Robotic Vehicles

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet für Flugsysteme und Regelungstechnik (FSR)
Hinterlegungsdatum: 05 Jun 2024 08:56
Letzte Änderung: 05 Jun 2024 11:49
PPN: 51884076X
Export:
Suche nach Titel in: TUfind oder in Google

Verfügbare Versionen dieses Eintrags

Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen