Adaptive sliding mode and RBF neural network based fault tolerant attitude control for spacecraft with unknown uncertainties and disturbances

Hou, Zhiwei; Lan, Xuejing

doi:10.1016/j.asr.2024.05.021

Advances in Space Research

2024

DOI: 10.1016/j.asr.2024.05.021

|View full text |Cite

Adaptive sliding mode and RBF neural network based fault tolerant attitude control for spacecraft with unknown uncertainties and disturbances

Zhiwei Hou,

Xuejing Lan

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A novel smooth quaternion-based attitude tracking control

Septanto,

Suprijanto

2024

Advances in Space Research

View full text Add to dashboard Cite

A novel smooth quaternion-based attitude tracking control

Septanto,

Suprijanto

2024

Advances in Space Research

View full text Add to dashboard Cite

Adaptive neural network based fixed-time attitude tracking control of spacecraft considering input saturation

Li,

Wang,

Liu

et al. 2024

Aerospace Science and Technology

View full text Add to dashboard Cite

Adaptive Dynamic Programming-Based Spacecraft Attitude Control Under a Tube-Based Framework

Li,

Liu,

Liu

2024

Electronics

View full text Add to dashboard Cite

This paper investigates the control problem of a spacecraft attitude manoeuvrer with external disturbances. Firstly, the spacecraft attitude dynamical model is introduced; then, the tube-based framework is constructed, which includes a nominal system and an error system. Based on that, the control law design would be a two-step process. To start with, the nominal control law is developed via an adaptive dynamic programming technique and a neural network approximation in order to provide a nominal trajectory to the desired attitude. Moreover, based on the nonsingular terminal sliding mode control scheme, the error controller is derived to lead the actual system to track the nominal trajectory and suppress disturbances. The stability of the closed-loop system is analyzed via the Lyapunov approach and the simulation results could verify the effectiveness of the proposed control scheme.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Adaptive sliding mode and RBF neural network based fault tolerant attitude control for spacecraft with unknown uncertainties and disturbances

Cited by 3 publications

References 42 publications

A novel smooth quaternion-based attitude tracking control

A novel smooth quaternion-based attitude tracking control

Adaptive neural network based fixed-time attitude tracking control of spacecraft considering input saturation

Adaptive Dynamic Programming-Based Spacecraft Attitude Control Under a Tube-Based Framework

Contact Info

Product

Resources

About