公开(公告)号：US12180892B2

公开(公告)日：2024-12-31

申请号：US16265319

申请日：2019-02-01

Applicant: RTX Corporation

Inventor： Timothy J. Crowley ,  Ramesh Rajagopalan ,  Sorin Bengea

IPC: F02C7/057 ,  G05B13/02 ,  G06N3/08

Abstract: A system for neural network compensated aero-thermodynamic gas turbine engine parameter/inlet condition synthesis. The system includes an aero-thermodynamic engine model configured to produce a real-time model-based estimate of engine parameters, a machine learning model configured to generate model correction errors indicating the difference between the real-time model-based estimate of engine parameters and sensed values of the engine parameters, and a comparator configured to produce residuals indicating a difference between the real-time model-based estimate of engine parameters and the sensed values of the engine parameters. The system also includes an inlet condition estimator configured to iteratively adjust an estimate of inlet conditions based on the residuals and adaptive control laws configured to produce engine control parameters for control of gas turbine engine actuators based on the inlet conditions.

公开(公告)号：US12140083B2

公开(公告)日：2024-11-12

申请号：US18153487

申请日：2023-01-12

Applicant: RTX Corporation

Inventor： Timothy J. Crowley ,  Sorin Bengea ,  Manuj Dhingra ,  David Gelwan ,  Kevin Hendricks ,  Joshua Adams ,  Martin Richard Amari ,  Richard P. Meisner ,  David Lei Ma

IPC: F02C9/00 ,  B64D27/02

Abstract: A hybrid electric propulsion system includes a gas turbine engine having at least one compressor section and at least one turbine section operably coupled to a shaft. The hybrid electric propulsion system includes an electric motor configured to augment rotational power of the shaft of the gas turbine engine. A controller is operable to determine hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a prediction based on the hybrid electric propulsion system parameters and the composite system model, determine a model predictive control optimization for a plurality of hybrid electric system control effectors based on the prediction using a plurality of reduced-order partitions of the composite system model, and actuate the hybrid electric system control effectors based on the model predictive control optimization.

公开(公告)号：US11999498B2

公开(公告)日：2024-06-04

申请号：US17517936

申请日：2021-11-03

Applicant: RTX Corporation

Inventor： Neil Terwilliger ,  Sorin Bengea

IPC: B64D31/00 ,  B64D41/00 ,  F01D15/10 ,  F01D17/16

CPC classification number: B64D31/00 ,  B64D41/00 ,  F01D15/10 ,  F01D17/162 ,  F05D2220/323 ,  F05D2220/76 ,  F05D2260/57 ,  F05D2260/70 ,  F05D2260/81 ,  F05D2270/20

Abstract: An aspect includes a method of variable cycle compensation in a gas turbine engine. An electric component can be adjusted to compensate for a power change induced by an actuation system by operating the electric component as an electric motor to compensate for an increase in power absorption or a decrease in power production of a turbomachinery of the gas turbine engine. The actuation system is configured to adjust a variable cycle of the turbomachinery by adjusting power absorption or power production, and the electric component can be configured to add or subtract torque to a shaft of the gas turbine engine. The electric component can be operated as an electric generator to compensate for an increase in power production or a decrease in power absorption of the turbomachinery.