Abstract: A system, computer-readable medium, and a method including determining a reference baseline model that accurately represents a behavior of a nominal or average asset of a particular type; determining a parametric model that accurately represents a deviation between a performance of a specific asset and the reference baseline model, the specific asset being of the particular type; tuning the parametric model based on operational data from the specific asset; combining the reference baseline model and the parametric model to obtain a parametric performance model for the specific asset; and storing a record of the parametric performance model for the specific asset.

Abstract: A system, computer-readable medium, and a method including obtaining flight data for a prescribed flight from at least one of an airborne system of a particular aircraft to execute the prescribed flight and a system other than the airborne system of the particular aircraft having a source of data related to the prescribed flight, the flight data including specific details relating to at least one of the particular aircraft and parameters of the prescribed flight; performing, by a processor of an external computational asset and based on the obtained flight data, a control optimization to generate optimized path specific controls for the prescribed flight; transmitting the optimized path specific controls via a communication uplink from the external computational asset to the particular aircraft; and guiding, in response to receiving the optimized path specific controls by the particular aircraft, the particular aircraft in accordance with the optimized path specific controls to execute the prescribed flight.

Abstract: A system, computer-readable medium, and a method to operate a vehicle in a manner that minimizes a cost to travel from an origin to a destination that includes finding the input to a flight control system that minimizes direct operating cost. The approach described herein employs an energy state approximation (ESA).

Abstract: A method, medium, and system to receive a mathematical model representation of performance characteristics for an aircraft and an engine combination; perform a projection based model order reduction on the mathematical model representation; eliminate, based on the projected model, fast dynamics components of the mathematical model representation; determine a reduced order model, as a differential algebraic equation, wherein algebraic equations replace the fast dynamics; set a flight path angle and a throttle level angle as a control to minimize fuel consumption for the modeled aircraft and engine combination; discretize equations of motion for the modeled aircraft and engine combination and formulate optimization equations as a nonlinear programming problem; and determine an optimal open loop control that minimizes fuel consumption for the modeled aircraft and engine combination to climb to a prescribed cruise altitude and airspeed.

Abstract: A control system for an adaptive-power thermal management system of an aircraft having at least one adaptive cycle gas turbine engine includes a real time optimization solver that utilizes a plurality of models of systems to be controlled, the plurality of models each being defined by algorithms configured to predict changes to each system caused by current changes in input to each system. The real time optimization solver is configured to solve an open-loop optimal control problem on-line at each of a plurality of sampling times, to provide a series of optimal control actions as a solution to the open-loop optimal control problem. The real time optimization solver implements a first control action in a sequence of control actions and at a next sampling time the open-loop optimal control problem is re-posed and re-solved.

Abstract: A control system for an adaptive-power thermal management system of an aircraft having at least one adaptive cycle gas turbine engine includes a real time optimization solver that utilizes a plurality of models of systems to be controlled, the plurality of models each being defined by algorithms configured to predict changes to each system caused by current changes in input to each system. The real time optimization solver is configured to solve an open-loop optimal control problem on-line at each of a plurality of sampling times, to provide a series of optimal control actions as a solution to the open-loop optimal control problem. The real time optimization solver implements a first control action in a sequence of control actions and at a next sampling time the open-loop optimal control problem is re-posed and re-solved.

Abstract: The present application provides a shaft speed monitoring system for a pulse detonation combustor with a number of combustion tubes and positioned about a shaft of a pulse detonation turbine engine. The shaft speed monitoring system may include one or more shaft sensors positioned about the shaft and a control in communication with the shaft sensors to determine a number of shaft speed fluctuations related to each of the combustion tubes.

Abstract: In one embodiment, a pulse detonation engine (PDE) includes a controller configured to receive signals indicative of at least one of a desired operating parameter of the PDE and a measured internal parameter of the PDE, and to adjust at least one of a first fluid flow through the PDE and a second fluid flow through at least one of multiple pulse detonation tubes disposed within the PDE based on the signals. The PDE does not include a turbine or a mechanical compressor.

Abstract: A pulse detonation turbine engine (PDTE) includes at least one controllable multi-tube pulse detonation combustor (PDC) configured to initiate firing of one or more pulse detonation tubes in response to operation of a plurality of controllable peripheral PDC components to regulate PDTE output characteristics. A control system including a programmable controller directed by algorithmic software operates to generate control inputs for the plurality of controllable peripheral PDC components in response to PDTE input conditions, such that one or more PD tube controllable inputs can be different for at least one PD tube relative to another PD tube within the multi-tube PDC, and further such that detonation timing can be different for at least one PD tube relative to another PD tube within the multi-tube PDC.