Dual-Step Real-Time Simulation of Power Electronic Converters Using an FPGA

Le-Huy, P.; Guerette, S.; Dessaint, L.-A.; Le‐Huy, Hoang

doi:10.1109/isie.2006.295702

Cited by 14 publications

(9 citation statements)

References 4 publications

(4 reference statements)

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“…It has been utilized by engineers in various industries such as aviation [1], power systems [2], networking [3], automotive [4], traffic management [5], and medicine [6]. The physical systems encountered in these areas are mathematically modeled by deriving the ordinary differential equations (ODEs)…”

Section: Introductionmentioning

confidence: 99%

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Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

Monga

Roggow

Karkee

et al. 2015

Microprocessors and Microsystems

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A purely software-based approach for Real-Time Simulation (RTS) may have difficulties in meeting real-time constraints for complex physical model simulations. In this paper, we present a methodology for the design and im-plementationof RTS algorithms,basedontheuseof Field-ProgrammableGateArray(FPGA) technologytoimprove the response time of these models. Our methodology utilizes traditional hardware/ software co-design approaches to generate a heterogeneous architecture for an FPGA-based simulator. The hardware design was optimized such that it efficiently utilizes the parallel nature of FPGAs and pipelines the independent operations. Further enhancement is obtained through the use of custom accelerators for common non-linear functions. Since the systems we examined had relatively low response time requirements, our approach greatly simplifies the software components by porting the computationally complexregionsto hardware.We illustratethe partitioningofa hardware-based simulator design across dual FPGAs, initiateRTS usinga system input froma Hardware-in-the-Loop (HIL) framework, and use these simulation results from our FPGA-based platform to perform response analysis. The total simulation time, which includes the time required to receive the system input over a socket (without HIL), software initialization, hardware computation, and transferof simulation results backovera socket, showsa speedup of 2× as compared to a similar setup with no hardware acceleration. The correctness of the simulation output from the hardware has also been validated with the simulated results from the software-only design. AbstractA purely software-based approach for Real-Time Simulation (RTS) may have difficulties in meeting real-time constraints for complex physical model simulations. In this paper, we present a methodology for the design and implementation of RTS algorithms, based on the use of Field-Programmable Gate Array (FPGA) technology to improve the response time of these models. Our methodology utilizes traditional hardware/software co-design approaches to generate a heterogeneous architecture for an FPGA-based simulator. The hardware design was optimized such that it efficiently utilizes the parallel nature of FPGAs and pipelines the independent operations. Further enhancement is obtained through the use of custom accelerators for common non-linear functions. Since the systems we examined had relatively low response time requirements, our approach greatly simplifies the software components by porting the computationally complex regions to hardware. We illustrate the partitioning of a hardware-based simulator design across dual FPGAs, initiate RTS using a system input from a Hardware-in-the-Loop (HIL) framework, and use these simulation results from our FPGA-based platform to perform response analysis. The total simulation time, which includes the time required to receive the system input over a socket (without HIL), software initialization, hardware computation, and transfer of simulation results back over a sock...

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Section: Introductionmentioning

confidence: 99%

“…2 Corresponding author (a) Effect of time step using a 16th order linear system. (b) Effect of number of states using a time step of 1 ms. Figure 1: Effect of step size and number of states on the CPU computation time for a linear system integrator that represent the underlying physics which dictates system behavior.…”

Section: Introductionmentioning

confidence: 99%

Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

Monga

Roggow

Karkee

et al. 2015

Microprocessors and Microsystems

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“…This increases the realism of the simulation and provides access to the hardware features currently not available in software-only simulation models [13], [14]. The issue of the choice of the sampling period is underlined and the design chain for the RTS of an entire electrical system.…”

Section: Introductionmentioning

confidence: 99%

FPGA-based real-time simulation of fault tolerant current controllers for power electronics

Bahri¹,

Slama‐Belkhodja²

2009

2009 IEEE International Symposium on Industrial Electronics

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“…The effects of the sampling period selection have been already analyzed for AC machine drives [5], [6], [7] and for power electronic converters [8], [9]. Few papers deal with the modeling inaccuracies reduction for control algorithm [10], but up to now, no customized approach for the system modeling inaccuracies has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Design of an FPGA-based Real-Time Simulator for electrical system

Bahri

Naouar

Slama‐Belkhodja

et al. 2008

2008 13th International Power Electronics and Motion Control Conference

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This paper deals with a Real-Time Simulation (RTS) able to accurately reproduce an electrical system in real-time. The RTS proposed architecture is written in VHDL and implemented in a Field Programmable Gate Array (FPGA) device. Multi-sampling approach is adopted allowing a real-time functioning with different time-steps and different operating conditions with minimized lost of accuracy. The proposed concept is illustrated by the RTS of each of a three-phase RLE load performed with a very short time step of 2.5μs, an inverter, the measurement system and the hysteresis current controllers. Comparison with experimental results shows the high performances of this RTS.

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Dual-Step Real-Time Simulation of Power Electronic Converters Using an FPGA

Cited by 14 publications

References 4 publications

Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

FPGA-based real-time simulation of fault tolerant current controllers for power electronics

Design of an FPGA-based Real-Time Simulator for electrical system

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