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公开(公告)号:US11555455B2
公开(公告)日:2023-01-17
申请号:US16783512
申请日:2020-02-06
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
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.
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公开(公告)号:US20200347787A1
公开(公告)日:2020-11-05
申请号:US16783512
申请日:2020-02-06
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
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.
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