Redundant sensor networks of inertial measurement units (IMUs) provide inherent robustness and redundancy to a navigation solution obtained by dead reckoning the fused accelerations and angular velocities sensed by the IMU. However, IMUs have been known to experience faults risking catastrophic mission failure creating large financial setbacks and an increased risk of human safety. Robust on-board fault detection schemes are developed and analyzed for a multi-sensor distributed network specifically for IMUs. Simulations of a spacecraft are used to baseline several cases of sensor failure in a distributed network undergoing fusion to produce an accurate navigation solution. The presented results exhibit a robust fault identification scheme t...
Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-ar...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83640/1/AIAA-2010-7855-622.pd
The standard observer for inertial navigation system (INS) have for many years been the extended Kal...
Redundant sensor networks of inertial measurement units (IMUs) provide inherent robustness and redun...
This paper presents a scheme for fault detection and isolation (FDI) of on-board gyroscope sensors ...
Spacecraft require high availability, autonomous operation, and a high degree of mission success. Sp...
This paper presents a scheme for fault detection and isolation (FDI) of on-board gyroscope sensors a...
This paper analyzes fault tolerance of spacecraft relative navigation in automated rendezvous and do...
This project will be focused on developing and testing algorithms for implementing a strap down (rig...
This research presents methods for detecting and isolating faults in multiple micro-electro-mechanic...
The thesis covers data fusion for aircraft navigation systems in distributed sensor systems. Data f...
The presence of failures in navigation sensors can cause the determination of an erroneous aircraft ...
Spacecraft systems need increased on board autonomy to detect the occurred faults (e.g., faults in ...
New approaches to the development of data fusion algorithms for inertial network systems are descri...
The advantages of a navigation system that can monitor its own integrity are obvious. Integrity moni...
Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-ar...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83640/1/AIAA-2010-7855-622.pd
The standard observer for inertial navigation system (INS) have for many years been the extended Kal...
Redundant sensor networks of inertial measurement units (IMUs) provide inherent robustness and redun...
This paper presents a scheme for fault detection and isolation (FDI) of on-board gyroscope sensors ...
Spacecraft require high availability, autonomous operation, and a high degree of mission success. Sp...
This paper presents a scheme for fault detection and isolation (FDI) of on-board gyroscope sensors a...
This paper analyzes fault tolerance of spacecraft relative navigation in automated rendezvous and do...
This project will be focused on developing and testing algorithms for implementing a strap down (rig...
This research presents methods for detecting and isolating faults in multiple micro-electro-mechanic...
The thesis covers data fusion for aircraft navigation systems in distributed sensor systems. Data f...
The presence of failures in navigation sensors can cause the determination of an erroneous aircraft ...
Spacecraft systems need increased on board autonomy to detect the occurred faults (e.g., faults in ...
New approaches to the development of data fusion algorithms for inertial network systems are descri...
The advantages of a navigation system that can monitor its own integrity are obvious. Integrity moni...
Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-ar...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/83640/1/AIAA-2010-7855-622.pd
The standard observer for inertial navigation system (INS) have for many years been the extended Kal...