Abstract: An active wing and lift surface control system for an aircraft is described. The wing and lift surface control system includes an aeroelasticity measurement system configured to provide at least one of real time wing twist measurements and real time measurements of aircraft body bending, at least one actuator mechanically coupled to a control surface of the aircraft, and a control system communicatively coupled to the aeroelasticity measurement system and to the at least one actuator. The control system is operable to receive the measurements from the aeroelasticity measurement system and generate control signals, based on the real time measurements, to operate the at least one actuator to adjust a drag associated with one or more of the wing and the aircraft body.

Abstract: Systems and methods for aeroelasticity measurement and vehicle structural health analysis and monitoring are disclosed. In one embodiment, a computer based system to monitor structural integrity of an aircraft comprises a processor and a memory module coupled to the processor and comprising logic instructions stored on a computer readable medium which, when executed by the processor, configures the processor to receive a plurality of aeroelasticity measurements and associated flight parameters collected in real time during a flight operation, store the plurality of aeroelasticity measurements and associated flight parameters in a persistent storage medium, and generate an alert when one or more aeroelasticity parameters exceeds a threshold. In some embodiments, the system may be implemented in a computing system or as logic instructions recorded on a computer readable medium.

Abstract: Techniques for removing time tag jitter and crossover distortion from a measurement system are described. A period or clock drift estimate is generated for each sensor, and the estimates are used to remove time tag jitter and detect and remove crossover distortion. This crossover distortion condition is common to measurement systems required to acquire and accurately time tag data from multiple sensors where the sensors produce data at an asynchronous periodic rate which may result in a distortion in time tag accuracy. These techniques are germane to aircraft and other systems that require precisely time correlated measurements from multiple sensors hosted by a data control system, and can obviate the use of real time operating systems and specialized hardware for this purpose.

Abstract: Techniques for removing time tag jitter and crossover distortion from a measurement system are described. A period or clock drift estimate is generated for each sensor, and the estimates are used to remove time tag jitter and detect and remove crossover distortion. This crossover distortion condition is common to measurement systems required to acquire and accurately time tag data from multiple sensors where the sensors produce data at an asynchronous periodic rate which may result in a distortion in time tag accuracy. These techniques are germane to aircraft and other systems that require precisely time correlated measurements from multiple sensors hosted by a data control system, and can obviate the use of real time operating systems and specialized hardware for this purpose.