US 12,140,083 B2
Adaptive model predictive control for hybrid electric propulsion
Timothy J. Crowley, Tolland, CT (US); Sorin Bengea, Glastonbury, CT (US); Manuj Dhingra, Glastonbury, CT (US); David Gelwan, West Hartford, CT (US); Kevin Hendricks, Vernon, CT (US); Joshua Adams, New Hartford, CT (US); Martin Richard Amari, Glastonbury, CT (US); Richard P. Meisner, Glastonbury, CT (US); and David Lei Ma, Avon, CT (US)
Assigned to RTX CORPORATION, Farmington, CT (US)
Filed by RTX Corporation, Farmington, CT (US)
Filed on Jan. 12, 2023, as Appl. No. 18/153,487.
Application 18/153,487 is a continuation of application No. 16/783,512, filed on Feb. 6, 2020, granted, now 11,555,455.
Claims priority of provisional application 62/802,263, filed on Feb. 7, 2019.
Prior Publication US 2023/0160347 A1, May 25, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. F02C 9/00 (2006.01); B64D 27/02 (2006.01)
CPC F02C 9/00 (2013.01) [B64D 27/02 (2013.01); B64D 27/026 (2024.01); F05D 2220/323 (2013.01); F05D 2220/76 (2013.01); F05D 2240/60 (2013.01); F05D 2260/80 (2013.01); F05D 2270/09 (2013.01); F05D 2270/20 (2013.01); F05D 2270/44 (2013.01); F05D 2270/80 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A hybrid electric propulsion system comprising:
a gas turbine engine comprising at least one compressor section and at least one turbine section operably coupled to a shaft;
an electric motor configured to augment rotational power of the shaft of the gas turbine engine; and
a controller operable to:
determine a plurality of hybrid electric propulsion system parameters based on a composite system model and sensor data from one or more sensors;
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, wherein the reduced-order partitions comprise partitions of a propulsion system model comprising a gas turbine engine model, a mechanical power transmission model, and an electrical power system model;
update a plurality of composite system model states of the composite system model based on detection of one or more faults, wherein the reduced-order partitions of the composite system model comprise a plurality of reduced-order partitions of the composite system model states; and
actuate the hybrid electric system control effectors based on the model predictive control optimization.