2012
DOI: 10.1109/tii.2012.2192281
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A Comparison of Simulation and Hardware-in-the- Loop Alternatives for Digital Control of Power Converters

Abstract: El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription A comparison of simulation and hardware-in-the-loop alternatives for digital control of power converters Alberto Sanchez, Angel de Castro, Member, IEEE, and Javier Garrido, Member, IEEE Abstract-Debugging digital controllers for power converters can be a problem because there are both digital and analog components. This paper focuses on debugging digital controllers to be impleme… Show more

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Cited by 67 publications
(49 citation statements)
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“…Finally, a comparison of several simulation techniques, such as mixed-signal simulators, VHDL synthesizable and nonsynthesizable models, fixed and floating-point models, and automatically translated VHDL models, is shown in [5]. This comparison proves that fixed point arithmetic obtains the best synthesis results (area and speed), but increases design time.…”
Section: Introductionmentioning
confidence: 80%
See 1 more Smart Citation
“…Finally, a comparison of several simulation techniques, such as mixed-signal simulators, VHDL synthesizable and nonsynthesizable models, fixed and floating-point models, and automatically translated VHDL models, is shown in [5]. This comparison proves that fixed point arithmetic obtains the best synthesis results (area and speed), but increases design time.…”
Section: Introductionmentioning
confidence: 80%
“…This is known as HIL (Hardware in the Loop),and it can use any hardware devices, including computers and FPGAs, for emulating the power converter. As shown in [5], the emulation of HIL systems can increase the speed of the second testing stage up to 29,000 times approximately in comparison with mixed-simulation tools, so the usefulness of the HIL approach is beyond doubt.…”
Section: Introductionmentioning
confidence: 99%
“…The development and application of Model-based Predictive Control was initially slowed down due to its high computational cost. However, in the last two decades, powerful digital control platforms have been developed, e.g., FieldProgrammable Gate Arrays (FPGAs) and Digital-SignalProcessors (DSPs) have become the conventional solution for control of electrical and electronics engineering systems [24][25]. MPC is characterized by its capability to be used in a variety of processes and application and by its simplicity for advanced engineering systems with high number of dynamics, where hardconstraints, soft-constraints and non-linearities can be included easily into the control law.…”
Section: Finite Control Set Model Predictive Control For Gridtied Quamentioning
confidence: 99%
“…This modification increases the working frequency, thus reducing the time required for the emulation. This optimization is explained in more detail in [13].…”
Section: Model Of the Plantmentioning
confidence: 99%
“…If we were to increase the value of ∆t to ∆t = 100 ns, the resolution of the duty cycle would be reduced to 1 %, which is far from optimal for simulating power converters. The discussion about the problems due to the resolution of the different data types is extended in [13]. This evaluation has been also applied to the models including losses.…”
Section: Steady State Accuracymentioning
confidence: 99%