IEEE Transactions on Aerospace and Electronic Systems · 1995 · 126 citations · 5 references
EngineeringUnmanned Flight VehicleAutonomous SystemsControl SystemsState EstimationSystems EngineeringEstimation TheoryStatisticsFlight ValidationAdaptive FilterPerformance EnhancementControl SurfaceAdaptive AlgorithmSensor FailuresFault EstimationRobust ModelingAerospace EngineeringStatistical InferenceUnmanned Aerial SystemsFlight Control Systems
We describe performance improvement techniques for a multiple model adaptive estimator (MMAE) used to detect and identify control surface and sensor failures on an unmanned flight vehicle. Initially failure identification was accomplished within 4 s of onset, but by removing the "/spl beta/ dominance" effects, bounding the hypothesis conditional probabilities, retuning the Kalman filters, increasing the penalty for measurement residuals, decreasing the probability smoothing, and increasing residual propagation, the identification time was reduced to 2 s.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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