Michael W. Corbett, Peter T. Lamm, U.S. Air Force Research Laboratory; Kyle L. Miller, PC Krause and Associates, Inc; J. Mitch Wolff, Wright State University; E. A. Walters, PC Krause and Associates, Inc. Aircraft power demands continue to increase with the increase in electrical subsystems. These subsystems directly affect the behavior of the power and propulsion systems and can no longer be neglected in system analyses. The performance of the whole aircraft must also be considered with the combined interactions between the power and propulsion systems. The larger loading demands placed on the power and propulsion subsystems result in thrust, speed, and altitude transients that affect the whole aircraft. This results in different operating parameters for the engine. The complex models designed to integrate new capabilities have a high computational cost. This paper investigates the possibility of using a hardware-in-the-loop (HIL) analysis with real time integration of the aircraft/propulsion system. Using this method, a significant reduction in computational runtime is observed, and the airframe/turbine engine model is usable in a HIL environment. This also allows for a more complete analysis of the interactions between engine loading and aircraft performance by including some real hardware components. The dynamic interactions between aircraft subsystems highlight the need for system-level modeling using a combination of high-fidelity computer models and hardware in a real-time environment. 43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, July...
Read MoreMulti-Fidelity Modeling of Wound-Rotor Synchronous Machines
B. P. Loop, M. Hasan, M. Gualtieri, E. A. Walters, PC Krause and Associates, Inc. In this paper, methods for transitioning between different types of wound-rotor synchronous machines models are examined. The specific transitions investigated are (1) finite element to circuit-based machine models and (2) circuit-based to average value models of machine/rectifier systems. Good agreement between simulation results obtained using the different model types is achieved. This work sets the stage for a software environment that enables both component and system level analysis of electrical power systems. 2008 Electric Machines Technology Symposium, August 12-13, 2008, Philadelphia,...
Read MoreIntegrated Electrical System Model of a More Electric Aircraft Architecture
M. Amrhein, J. R. Wells, E. A. Walters, PC Krause and Associates Inc; Anthony F. Matasso, Tim R. Erdman, Lockheed Martin Corp; Steven M. Iden, Peter T. Lamm, Austin M. Page, U.S. Air Force Research Laboratory; Ivan H. Wong, Northrop Grumman Corp. A primary challenge in performing integrated system simulations is balancing system simulation speeds against the model fidelity of the individual components composing the system model. Traditionally, such integrated system models of the electrical systems on more electric aircraft (MEA) have required drastic simplifications, linearizations, and/or averaging of individual component models. Such reductions in fidelity can take significant effort from component engineers and often cause the integrated system simulation to neglect critical dynamic behaviors, making it difficult for system integrators to identify problems early in the design process. This paper utilizes recent advancements in co-simulation technology (DHS Links) to demonstrate how integrated system models can be created wherein individual component models do not require significant simplification to achieve reasonable integrated model simulation speeds. Such techniques enable the system integrator to observe system dynamics and interactions at fidelities which were previously impractical. This paper utilizes the electrical power system of an MEA to illustrate the capabilities and performance of the proposed approach. Specifically, the paper identifies the system modeling approach, addresses key challenges which were overcome to enable system level modeling at this fidelity, discusses the component models, and presents results from the integrated system model. 2008 SAE Power Systems Conference, November 11-13, 2008, Bellevue, WA. Paper...
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