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Adaptive Control and Scaling Approach for the Emulation of Dynamic Subscale Torque LoadsPrevious research by the authors proposed a control and scaling approach for emulating dynamic sub-scale torque loads. This approach produced an emulation controller that successfully regulated the dynamic behavior of a sub-scale electro-mechanical system intended to be a dynamical representation of the sub-scale turboelectric powertrain of a single-aisle commercial aircraft. The sub-scale system provides an environment without turbomachinery or rotors for the initial testing of electrified aircraft propulsion (EAP) control algorithms
as they would be applied to a full-scale EAP system. The sub-scale turbomachinery/rotor torque loads were produced by electric machines (EMs) driven by the control and scaling approach, a full-scale turboelectric powertrain model, and an advanced EAP control algorithm. Although successfully tested, this approach produces an emulation controller that does not guarantee asymptotic stability. Modifying the original control law and integrating adaptive control techniques into the emulation controller allows the designer to guarantee asymptotic stability. This paper introduces the idea behind the emulation controller modifications, derives the controller, proves asymptotic stability, describes the implementation of the controller on a sub-scale electro-mechanical system intended to represent a parallel hybrid-electric turbofan engine, and describes the testing of a full-scale advanced EAP control algorithm. The turbofan engine and emulation controller performance are compared to results obtained using the previous, non-adaptive control and scaling approach.
Document ID
20230017591
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Santino J Bianco
(Glenn Research Center Cleveland, Ohio, United States)
Donald L Simon
(Glenn Research Center Cleveland, Ohio, United States)
Elyse D Hill
(Oak Ridge Associated Universities Oak Ridge, Tennessee, United States)
Date Acquired
December 4, 2023
Subject Category
Aircraft Propulsion and Power
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Orlando, FL
Country: US
Start Date: January 8, 2024
End Date: January 12, 2024
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 698154.04.03.02.02.02
CONTRACT_GRANT: 80HQTR21CA005
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
adaptive
control
scaling
emulation
dynamic
torque
loads
turbomachinery
electric
machine
aircraft
propulsion
power
system
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