公开(公告)号：US20240209798A1

公开(公告)日：2024-06-27

申请号：US18085680

申请日：2022-12-21

Applicant: Raytheon Technologies Corporation

Inventor： Milos Ilak ,  Edmund Emmett Rochford ,  Martin Amari ,  Abhijit Chakraborty ,  Jerry Ding ,  Daniel T. Pollock ,  Konda Reddy Chevva ,  Jeffrey Ernst ,  William S. Heglund

IPC: F02C9/28 ,  F02C9/26

CPC classification number: F02C9/28 ,  F02C9/263

Abstract: A system including a supervisory controller configured to receive one or more mission objectives for an aircraft mission, and condition data; a memory for storing program instructions; at least one local supervisory controller, operatively coupled to the memory, and in communication with the supervisory controller and operative to execute program instructions to: simulate execution of the aircraft mission to address at least one of the one or more mission objectives; receive data output from at least one subsystem, the data output including a measurement of an aircraft physical system; generate a mission plan executable to address at least one of the one or more mission objectives via manipulation of the at least one subsystem; receive the generated mission plan at a subsystem controller directly from the at least one local supervisory controller; and automatically execute the generated mission plan to operate an aircraft.

公开(公告)号：US20240391599A1

公开(公告)日：2024-11-28

申请号：US18202688

申请日：2023-05-26

Applicant: RAYTHEON TECHNOLOGIES CORPORATION

Inventor： Pratyush Kumar ,  Yasir Al-Nadawi ,  Milos Ilak

IPC: B64D31/00 ,  G06N3/08

Abstract: A method for a HEP system includes obtaining, for each of a plurality of mission profiles, a respective first power splitting profile to be used throughout one or more flights described by the mission profile to achieve a fuel consumption objective for the one or more flights. Each power splitting profile indicates a series of power splits between a gas turbine and an electric motor of the HEP system. A neural network is trained to mimic the first power splitting profiles for the plurality of mission profiles. During one or more actual flights corresponding to a particular mission profile of an aircraft that includes a particular HEP system, the neural network is utilized to obtain a second power splitting profile for the particular HEP system for the one or more actual flights, and an output action for the particular HEP system is performed based on the second power splitting profile.