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Practical Implementation of the Indirect Control to the Direct 3 × 5 Matrix Converter Using DSP and Low-Cost FPGA.

Michal Praženica¹, Patrik Resutík¹, Slavomír Kaščák¹

¹Department of Mechatronics and Electronics, Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 01 Zilina, Slovakia.

Sensors (Basel, Switzerland)

|April 13, 2023

Summary

This study implements indirect control for multiphase matrix converters using low-cost FPGA and DSP. The combined approach ensures precise commutation and enables efficient AC/AC power conversion with bidirectional flow.

Keywords:

DSP FPGA Simulink indirect control matrix converter

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Area of Science:

Electrical Engineering
Power Electronics
Control Systems

Background:

Growing interest in multiphase drives necessitates advanced power conversion topologies.
Multiphase matrix converters offer single-stage AC/AC conversion with bidirectional power flow.
Direct matrix converters present implementation challenges requiring sophisticated control.

Purpose of the Study:

To implement indirect control for a direct matrix converter using cost-effective hardware.
To address control limitations of using DSP alone for multiphase drives.
To verify the performance of a practical matrix converter system.

Main Methods:

Utilized a combination of Field-Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) for control.
Implemented an indirect control algorithm treating the converter as separate rectifier and inverter stages.
Developed a compact modular matrix converter design for practical verification.

Main Results:

The FPGA-DSP hybrid control successfully managed time-critical operations and precise commutation.
The practical matrix converter demonstrated capability for wide output frequency ranges.
Input power factor control was achieved, validated through practical verification.

Conclusions:

The implemented indirect control strategy is effective for multiphase matrix converters.
Combining FPGA and DSP offers a cost-effective and reliable control solution.
Practical verification confirms the simulation model's accuracy regarding efficiency and performance parameters.