Introduction

Convergence of Focus Areas in Power Electronics
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Research Goals

Primary: Develop a novel adaptive digital control system using SoC technology (FPGA/MCU) for a DC/DC power system.

  • Compare and contrast the performance of several leading control algorithms in both simulation and hardware experimentation
  • Propose a novel adaptation for use with advanced industrial power electronics.

Secondary: Investigate the application of digital control for a High-Frequency Resonant Converter using Soft-Switching methods.

Background

Why do we need adaptive control?

Input Variation: For portable off-grid electronics, the voltage range of the input power source is widely varying. It can include different battery chemistry technologies, photo-voltaic cells, AC/DC generators, etc.

Dynamic Outputs: Systems that have wide modulation range of the output voltage, and experience dynamic load current.

Environmental: Ambient and junction temperature conditions, thermal loading effects, aging effects, manufacturing tolerance, etc.

Overview of DC/DC PWM Conversion

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Past Research in DC/DC Adaptive Control

Primary Author Algorithm Date

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Simulation and Theoretical Analysis:

MATLAB / VITIS Design Process

Cycle Chart for Developing Hardware/Software
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Matlab Simulink Model for Step-Down Buck
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3P3Z Feedback Controller Design

Matlab Simulink Model for 3P3Z
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Adaptive LMS Design for 3P3Z Controller in
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LMS Simulation Results

Adaptive LMS Simulation for Transient Response
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High-Level Synthesis and Implementation

Zybo System Design for 3P3Z Control

Vivado Block Design for Zybo
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Vivado Simulation Results

Vivado Simulation for 3P3Z Controler vs
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Experimental Validation and Discussion:

Experimental Development Platform

FPGA Based DC/DC PWM Control
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Conclusion

Why do we need adaptive control?

Digital DC/DC Converter FPGA and MCU based controllers for applications in power conversion have been widely studied in recent years.

Hardware/Software Co-design Digital controllers offer close integration with MATLAB and the ability to reprogram and study various control laws without having to physically alter circuit components.

Adaptive Control Adaptive control offers online stability estimation, adaptive tuning for optimal control, and early fault prediction.

Thank You

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