Nonsingular Fast Terminal Adaptive Neuro-sliding Mode Control for Spacecraft Formation Flying Systems

Joint Authors

Nguang, Sing Kiong
Zhang, Liruo
Lin, Xiaohan
Shi, Xiaoping
Li, Shilun

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-30

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Philosophy

Abstract EN

In this paper, a nonsingular fast terminal adaptive neurosliding mode control for spacecraft formation flying systems is investigated.

First, a supertwisting disturbance observer is employed to estimate external disturbances in the system.

Second, a fast nonsingular terminal sliding mode control law is proposed to guarantee the tracking errors of the spacecraft formation converge to zero in finite time.

Third, for the unknown parts in the spacecraft formation flying dynamics, we proposed an adaptive neurosliding mode control law to compensate them.

The proposed sliding mode control laws not only achieve the formation but also alleviate the effect of the chattering.

Finally, simulations are used to demonstrate the effectiveness of the proposed control laws.

American Psychological Association (APA)

Lin, Xiaohan& Shi, Xiaoping& Li, Shilun& Nguang, Sing Kiong& Zhang, Liruo. 2020. Nonsingular Fast Terminal Adaptive Neuro-sliding Mode Control for Spacecraft Formation Flying Systems. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1142595

Modern Language Association (MLA)

Lin, Xiaohan…[et al.]. Nonsingular Fast Terminal Adaptive Neuro-sliding Mode Control for Spacecraft Formation Flying Systems. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1142595

American Medical Association (AMA)

Lin, Xiaohan& Shi, Xiaoping& Li, Shilun& Nguang, Sing Kiong& Zhang, Liruo. Nonsingular Fast Terminal Adaptive Neuro-sliding Mode Control for Spacecraft Formation Flying Systems. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1142595

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142595