公开(公告)号：US11555455B2

公开(公告)日：2023-01-17

申请号：US16783512

申请日：2020-02-06

申请人： United Technologies Corporation

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

IPC分类号： F02C9/00 ,  B64D27/02

摘要： 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 an estimate of hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a model predictive control state and 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 model predictive control state and 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：US20200347787A1

公开(公告)日：2020-11-05

申请号：US16783512

申请日：2020-02-06

申请人： United Technologies Corporation

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

IPC分类号： F02C9/00 ,  B64D27/02

摘要： 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 an estimate of hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a model predictive control state and 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 model predictive control state and 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.