The Boeing Company

Adam Michael Honse

Aaron M Niemiec

Gregory James Garmire

Mike Andrew Hritzo

Richard A Fowell

Methods, apparatus, and articles of manufacture to control and monitor a folding wingtip actuation system are disclosed. An example apparatus includes a sequence and control module to determine whether to control a movement of a folding wingtip assembly coupled to a wing of an aircraft, the sequence and control module is to determine actions during a first stage and a second stage to complete in sequence to move the folding wingtip assembly, determine a status of a first component of the folding wingtip assembly based on a sensor measurement, in response to the status being a non-responsive status, replace a first input from the first component with a second input from a second component, and control the movement of the folding wingtip assembly based on the actions and the second input.

Methods and apparatus to control and monitor a folding wingtip actuation system

Methods, apparatus, and articles of manufacture to control and monitor a folding wingtip actuation system are disclosed. An example apparatus includes a collection module to obtain flight stage information of an aircraft. The example apparatus further includes a sequence and control module to calculate a first position of a folding wingtip assembly operatively coupled to a wing of the aircraft, determine actions during a first stage and a second stage to complete in sequence to move the folding wingtip assembly, determine a status of a component of the folding wingtip assembly based on a measurement of a sensor, and control a movement of the folding wingtip assembly in accordance with the actions and based on the status.

Embodiments described herein provide for passive timing of asynchronous Inertial Measurement Unit (IMU) attitude data using information derived from a pattern of skipped and duplicate samples of attitude data generated by the IMU. One embodiment is an attitude controller for a vehicle that generates samples of attitude data at a first frequency (f) from an IMU of the vehicle. The IMU updates the attitude data at a second frequency (f). Each update of the attitude data includes a time stamp. The attitude controller is processes time stamps in the samples to identify a pattern of at least one of a skipped sample of an update to the attitude data and a duplicate sample of an update to the attitude data. The attitude controller estimates lag times between updates of the attitude data and samples of the attitude data based on the pattern and a relationship between fand f

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Mountlake Terrace, WA, United States of America

Adam Michael Honse