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Hybrid power systems can find wide applications in hybrid electric vehicles, more-electric aircraft, electric ships, and microgrids, where power converters are important in controlling the instantaneous power flow. Model predictive control (MPC) provides promising benefits over traditional controllers such as PIDs to dramatically improve dynamic control performances of those nonlinear multi-input,...
With increasing complexities and dynamics, modern aerospace systems are facing important challenges in automating and optimizing the operation of a variety of systems, which, for example, may include energy management in propulsion / power systems and flight control systems. Classical PID (proportional-integral-derivative) controls were traditionally used to manage many processes; however, they are...
This paper presents a distributed, real-time platform for aerospace power system design, testing and evaluation, which was developed by the University of Dayton, in partnership with GE Aviation's Electrical Power Integrated Systems Center (EPIS Center). This platform is based upon heterogeneous distributed, real-time computing hardware. Also, high-fidelity, physics-based or behavioral models can capture...
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