Fault Diagnosis, Detection and Reliability Enhancement in Satellite Attitude Control
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 5
Special Issue Editors
Interests: reliability; artificial Intelligence; fault diagnosis; mechatronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The pursuit of reliability and fault resilience in satellite attitude determination and control systems (ADCSs) has become a cornerstone of modern spacecraft engineering. As satellites evolve toward higher autonomy and extended mission lifetimes, the need for intelligent, verifiable, and industry-ready solutions for fault detection, diagnosis, and reliability enhancement has never been more critical. This Special Issue invites contributions that advance the theoretical foundations, algorithmic development, and practical implementation of reliability analysis and fault management in satellite ADCSs.
Particular emphasis will be placed on the integration of artificial intelligence, machine learning, and deep learning techniques for real-world fault diagnosis and predictive maintenance. Novel methodologies defining quantitative indices for reliability evaluation, covering attitude determination and control subsystems, hardware components, software architectures, and sensor networks, are especially encouraged.
Topics of interest include, but are not limited to, the following:
- Reliability assessment and modeling of satellite attitude control systems;
- AI- and ML-based fault detection and diagnosis techniques;
- Industry-ready and real-time fault-tolerant control algorithms;
- Reliability indices and health monitoring frameworks for ADCS hardware, software, and sensors;
- Data-driven and hybrid approaches to fault prediction and mitigation;
- Experimental validation, digital twin applications, and benchmarking of fault management systems.
Dr. Sajad Saraygord Afshari
Dr. Enayatollahi Mina
Guest Editors
Manuscript Submission Information
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Keywords
- satellite attitude control systems
- fault detection and diagnosis
- reliability analysis
- fault-tolerant control
- artificial intelligence and machine learning
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