Semi-active fault-tolerant control of whole-spacecraft vibration isolation platform based on human-simulated intelligent controller

Abstract Satellites are suffered from a series of external loads transmitted from the satellites-rocket interface during the launch phase. The satellite can be caused to experience broadband vibration by those loads. Such vibration may lead to the failure of the sensitive precision instruments inside the satellite. The magnetorheological (MR) damper may suffer from failure due to its internal factors or external environmental conditions during its operation. Under such conditions, addressing the broadband vibration requirement of vibration isolation systems and the performance degradation of MR dampers, the fault-tolerant control of the whole satellite vibration isolation with the MR damper as the actuator is studied. A fault-tolerant control method combining adaptive sliding mode control and human-simulated intelligent control (HSIC) is proposed. A semi-active whole-spacecraft vibration isolation dynamic model based on MR damper faults is derived by incorporating fault factor. A sliding mode observer is designed for fault reconstruction, and an adaptive human-simulated sliding mode fault-tolerant control algorithm is proposed in combination with HSIC for reconfiguration. The effectiveness of the adaptive human-simulated sliding mode fault-tolerant control is verified through simulations and experiments. The results show that the addition of fault-tolerant control can compensate for the loss of control force caused by the failure of the MR damper to a certain extent. This study provides a reference for practical application of the whole-spacecraft controllers.

Authors

Institutions

Publication Details

Journal
Smart Materials and Structures
Published
2025-03-01
DOI
https://doi.org/10.1088/1361-665x/adbe1b
Citations
5
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
6.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semi-active fault-tolerant control of whole-spacecraft vibration isolation platform based on human-simulated intelligent controller

Xuan Li, Jiayi Ouyang, Xiaomin Dong, Zhenyang Wang et al.
5 citations
Smart Materials and Structures
Elevator Systems and Control
6.07
article

Semi-active fault-tolerant control of whole-spacecraft vibration isolation platform based on human-simulated intelligent controller

Xuan Li, Jiayi Ouyang, Xiaomin Dong, Zhenyang Wang, Lifan Wu, Yong Li
article en
5 citations

Abstract

Abstract Satellites are suffered from a series of external loads transmitted from the satellites-rocket interface during the launch phase. The satellite can be caused to experience broadband vibration by those loads. Such vibration may lead to the failure of the sensitive precision instruments inside the satellite. The magnetorheological (MR) damper may suffer from failure due to its internal factors or external environmental conditions during its operation. Under such conditions, addressing the broadband vibration requirement of vibration isolation systems and the performance degradation of MR dampers, the fault-tolerant control of the whole satellite vibration isolation with the MR damper as the actuator is studied. A fault-tolerant control method combining adaptive sliding mode control and human-simulated intelligent control (HSIC) is proposed. A semi-active whole-spacecraft vibration isolation dynamic model based on MR damper faults is derived by incorporating fault factor. A sliding mode observer is designed for fault reconstruction, and an adaptive human-simulated sliding mode fault-tolerant control algorithm is proposed in combination with HSIC for reconfiguration. The effectiveness of the adaptive human-simulated sliding mode fault-tolerant control is verified through simulations and experiments. The results show that the addition of fault-tolerant control can compensate for the loss of control force caused by the failure of the MR damper to a certain extent. This study provides a reference for practical application of the whole-spacecraft controllers.

Smart Materials and StructuresVol. 34(3)
Chongqing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Elevator Systems and Control
6.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.