2018
DOI: 10.1016/j.ifacol.2018.05.030
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic Inversion Control of Quadrotor with a Suspended Load

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
2
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 19 publications
(3 citation statements)
references
References 8 publications
0
2
0
1
Order By: Relevance
“…Recent developments in incremental nonlinear dynamic inversion (INDI) control have led to its widespread use for aerospace control applications [11], [12]. INDI combines the advantages of an incremental form with that of a modelbased nonlinear dynamic inversion (NDI) [13] to result in a robust controller that relies less on the system model and depends more on the accuracy of sensor feedback [12]. Currently, there is no available research work that exploited INDI control for pneumatic actuation, which is the main focus of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Recent developments in incremental nonlinear dynamic inversion (INDI) control have led to its widespread use for aerospace control applications [11], [12]. INDI combines the advantages of an incremental form with that of a modelbased nonlinear dynamic inversion (NDI) [13] to result in a robust controller that relies less on the system model and depends more on the accuracy of sensor feedback [12]. Currently, there is no available research work that exploited INDI control for pneumatic actuation, which is the main focus of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…1,2 Hence, several groups of researchers have developed a variety of linear and nonlinear control laws to hold the flight performance of the quadrotor UAV in application of different fields. [3][4][5] In Zheng et al, 6 a second order sliding mode controller was suggested for a quadrotor UAV to perform asymptotic tracking control. In Sarabakha et al, 7 a fuzzy state-feedback controller based on the Takagi-Sugeno fuzzy model was designed to guarantee the stability of a quadrotor UAV.…”
Section: Introductionmentioning
confidence: 99%
“…Los autores de (Raffo et al, 2016), (Raffo et al, 2018) diseñan un sistema de control anti-balanceo para el seguimiento de trayectoria a través de una linealización entrada-salida del modelo no-lineal del vehículo seguida de un control lineal basado en control robusto H 2 / H ∞ . En (Das, 2018) se presenta un control de trayectoria basado en inversión dinámica del modelo del sistema para obtener un vuelo estable con un balanceo limitado de la carga. Por otro lado, en (Cruz et al, 2017) se discute una estrategia de control específicamente para la fase de elevado de un quadrotor con una carga suspendida que también emplea el método de la inversión dinámica.…”
Section: Introductionunclassified