Model-Free Predictive Fault-Tolerant Control for Spacecraft Roto-Translational Relative Motion

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Chiniforoushan Mohammad; Mortazavi Mahdi; Raissi Kamran

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Space Science and Technology Year:2021 | Volume:14 | Issue:1 (پیاپی 46) Page(s): 77-92

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Model-Free Predictive Fault-Tolerant Control for Spacecraft Roto-Translational Relative Motion

Author(s)

Chiniforoushan Mohammad | Mortazavi Mahdi | Raissi Kamran | Issue Writer Certificate

Keywords

Spacecraft 6-DOF relative motionQ4

Model-free controlQ4

Subspace predictive controlQ4

Nonlinear ControlQ4

Fault-tolerant controlQ4

Control AllocationQ4

Data-driven fault diagnosisQ4

Abstract

The problem of jointly controlling relative attitude and position of spacecraft in the presence of actuator fault is investigated in this paper. Following a description about drawbacks and limitations of the existing models and the control approaches based on them, a new formulation of the spacecraft relative motion is provided. Subsequently, the Subspace predictive control framework, which is a powerful model-free approach, is extended in several dimensions, that is, adaptive Nonlinear Control, tolerance against abrupt faults and Control Allocation. Based on this generalized framework, three distinct data-driven Fault-tolerant controllers for coupled, nonlinear and time-variant plants are developed. From the viewpoint of fault diagnosis, the only requirement of the control structure is to detect the occurrence time of faults. Furthermore, an internal Data-driven fault diagnosis capability is introduced, which makes the control structure completely self-sufficient. The three controllers are then designed to solve the aforementioned problem, and their efficiency are verified via a multidimensional simulation scenario.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops