Abstract

This work describes an efficient implementation in terms of computation time and resource usage in a Field-Programmable System-On-Chip (FPSoC) of a Finite Control Set Model Predictive Control (FCS-MPC) algorithm. As an example, the FCS-MPC implementation is used for the current reference tracking of a two-level three-phase power converter. The proposed solution is an enabler for using both complex control algorithms and digital controllers for high switching frequency semiconductor technologies. An original HW/SW (hardware and software) system architecture for an FPSoC is designed to take advantage of a modern operating system, while removing time uncertainty in real-time software tasks, and exploiting dedicated FPGA fabric for the most complex computations. In addition, two different architectures for the FPGA-implemented functionality are proposed and compared in order to study the area-speed trade-off. Experimental results show the feasibility of the proposed implementation, which achieves a speed hundreds of times faster than the conventional Digital Signal Processor (DSP)-based control platform.

Highlights

  • Using the discrete state space representation of the continuous model presented in Section 2.1 as basis, the Finite Control Set Model Predictive Control (FCS-MPC) algorithm is applied in each sampling interval

  • An FCS-MPC strategy implementation for an Field-Programmable System-On-Chip (FPSoC) platform has been developed and validated as proof of all the possibilities that these platforms offer for new power electronics applications

  • Each of them could be better suited depending on the application and system restrictions and requirements

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Summary

Introduction

Voltage source inverters (VSI) are an industry standard for power conversion, and are extensively applied in different fields such as renewable energy integration, motor drives, or energy storage [1,2,3,4]. The arrival of FPSoC platforms that combine the calculation power of FPGA fabric with the high-level solutions of hard processing systems are greatly helping the introduction of these digital platforms in power electronics applications [28,32] These platforms offer a wide range of powerful resources combined with the advantages of System-on-Chip platforms such as reduced size and consumption and better reliability and performance. These features make FPSoCs promising platforms for the control implementation of applications in the field of power electronics, especially with the arrival of the aforementioned high switching frequency semiconductor technologies based on Wide Band-gap materials. The FPSoC implementation is compared with a conventional DSP solution to highlight the advantages of the proposal in terms of speed

System Equations
Control Algorithm
Configuring FPSoC Resources
FPGA Implementation
Parallel Prediction
Sequential Prediction
Experimental Results
Conclusions
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