This paper presents an extension of the wellknown Beard-Jones detection filter that permits isolation of sensor faults in a dynamic system to a fixed direction in output space. The method is based on augmenting the system equations by an auxiliary state to represent the dynamic behavior of the sensor fault, and in effect converts the sensor fault into the same form as an actuator 'fault. The only condition required is observability of the original system.

This paper presents an extension of the wellknown Beard-Jones detection filter that permits isolation of sensor faults in a dynamic system to a fixed direction in output space. The method is based on augmenting the system equations by an auxiliary state to represent the dynamic behavior of the sensor fault, and in effect converts the sensor fault into the same form as an actuator 'fault. The only condition required is observability of the original system.

Icing affects the aerodynamic performance of aircraft leading sometimes resulting in catastrophic crashes. The effects of icing have been studied in the past but from more of an aerodynamicist's viewpoint than a flight controls viewpoint. This paper develops models for aircraft dynamics in the presence of icing that can ultimately lead to a model based method of detecting icing. Flight test data from the NASA Lewis Twin Otter Icing Research Aircraft is analyzed in both case of a nominal un-iced configuration and a horizontal stabilizer experiencing icing due to a failed de-icing boot. Robust global nonlinear models were developed for each flap setting. The global nonlinear and localized linear models were analyzed for the differences between nominal and iced conditions with excellent agreement between model predictions and flight test data.

The University of Michigan has developed a fixed-wing model aircraft (Solus) with an embedded control system to develop and demonstrate UAV technology. The analytical objective of this project is the development of intelligent flight control and trajectory planning techniques, focusing on automated fault detection and recovery. Our experimental objective is to implement and evaluate these techniques on Solus for a variety of mission and fault scenarios. Figure 1: Solus -University of Michigan UAV.

No abstract