SySense, Inc. proposes to adapt fault detection methodologies developed for the Data Acquisition and Error Budget Analysis Tools (DAEBAT) SBIR effort to the integrity management of Unmanned Air Vehicle Systems (UAVS). In Phase I, a set of integrity monitors will be developed to detect measurement faults in individual sensors and when redundant data is available, parity checks will be performed to detect faults between sources. A trade study will be conducted to develop the architecture of a model-based fault detection and isolation filter for a specific UAVS application such as Sense and Avoid. In a Phase II effort, the sensor monitors developed in Phase I will be implemented as Simulink real-time nodes capable of running on flight hardware. In addition, the model-based fault detection filter studied in Phase I will be developed, integrated, and validated through simulation
Benefit: This software has applications to many safety critical processes such as those in the automotive, aerospace, and automation industries. Integrity monitors could be installed in automobile stability control systems to monitor for defective sensors. Future applications of an automated highway would require such safety features to ensure passenger safety. The applications within the aerospace industry are large and include engine monitoring, navigation systems assurance, and health monitoring for formation flight clusters.
Keywords: Sensor Fusion, Analytical Redundancy, Error Analysis, Daebat
