
@conference {CheSun10A,
	title = {Dynamic Simulation of DFIG Wind Turbines on FPGA Boards},
	booktitle = {Proceedings of the Power and Energy Conference at Illinois (PECI)},
	year = {2010},
	month = {February},
	pages = {39-44},
	abstract = {This paper presents the implementation of a dynamic simulation of a doubly fed induction generator (DFIG)- based wind turbine on a field-programmable gate array (FPGA) board. The explicit fourth-order Runge-Kutta numerical integration algorithm is used to obtain the system dynamic response. The FPGA simulation results and speed improvement are validated versus a Matlab/Simulink simulation. Using FPGAs as computational engines can lead to significant simulation speed gains when compared to a typical PC computer, especially when operations can be efficiently parallelized on the board.},
	author = {Hao Chen and Song Sun and Dionysios Aliprantis and Joseph Zambreno}
}
@conference {CheSun09A,
	title = {Dynamic Simulation of Electric Machines on FPGA Boards},
	booktitle = {Proceedings of the International Electric Machines and Drives Conference (IEMDC)},
	year = {2009},
	month = {May},
	abstract = {This paper presents the implementation of an induction machine dynamic simulation on a field-programmable gate array (FPGA) board. Using FPGAs as computational engines can lead to significant simulation speed gains when compared to a typical PC computer, especially when operations can be efficiently parallelized on the board. The textbook example of a free acceleration followed by a step load change is used to outline the basic steps of designing an explicit Runge{\textendash}Kutta numerical ordinary differential equation (ODE) solver on the FPGA platform. The FPGA simulation results and speed improvement are validated versus a Matlab/Simulink simulation.},
	author = {Hao Chen and Song Sun and Dionysios Aliprantis and Joseph Zambreno}
}
