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<p>This paper presents the design and implementation of a flexible, educationally oriented experimental test bench for a multi-purpose DSP-based converter, intended to support hands-on learning and real-time digital control development. The system is designed with simplicity and user accessibility in mind to reinforce theoretical concepts through direct experimentation. Digital Signal Processor (DSP) programming is performed using MATLAB Real-Time Workshop (RTW), enabling automated C-code generation and eliminating the complexity of manual programming. The resulting workflow centered on the F28027 DSP, Simulink, and Code Composer Studio (CCS) bridges simulation and hardware implementation, offering practical exposure to real-time control. The platform supports six reconfigurable converter topologies and is structured to accommodate both instructional and future research use. Two open-loop case studies PWM signal generation for single-phase and three-phase inverter configurations are presented to demonstrate the system’s versatility and pedagogical effectiveness. These examples showcase how the bench enables learners to engage directly with modulation techniques, waveform behavior, and dynamic system response in real time. Beyond its immediate educational function, the platform has been intentionally designed to support experimental research in real-time control of power electronic systems. It provides a scalable and modular foundation for implementing a variety of advanced strategies, including closed-loop regulation, direct torque control (DTC) with controlled switching frequency, and vector control using both PI and RST regulators. The system architecture also accommodates intelligent control techniques, such as fuzzy logic and machine learning-based diagnostics, as well as real-time fault detection and fault-tolerant operation. These enhancements are planned as part of the next development phase and will be pursued in ongoing doctoral research projects. By bridging theoretical modeling with hardware-level validation, the platform prepares students and researchers to address emerging challenges in modern power electronics, including those related to smart grids, electric drives, and adaptive control systems.</p>

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Design and Implementation of a Flexible Educational Test Bench for DSP-Based PWM Multi-purpose Power Converters: Open-Loop Validation

  • 期刊论文

  • 发表日期：

    2025年9月22日

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  • Hamid Khelfi,
  • Salim Hamouda,
  • Samir Hamdani

摘要

This paper presents the design and implementation of a flexible, educationally oriented experimental test bench for a multi-purpose DSP-based converter, intended to support hands-on learning and real-time digital control development. The system is designed with simplicity and user accessibility in mind to reinforce theoretical concepts through direct experimentation. Digital Signal Processor (DSP) programming is performed using MATLAB Real-Time Workshop (RTW), enabling automated C-code generation and eliminating the complexity of manual programming. The resulting workflow centered on the F28027 DSP, Simulink, and Code Composer Studio (CCS) bridges simulation and hardware implementation, offering practical exposure to real-time control. The platform supports six reconfigurable converter topologies and is structured to accommodate both instructional and future research use. Two open-loop case studies PWM signal generation for single-phase and three-phase inverter configurations are presented to demonstrate the system’s versatility and pedagogical effectiveness. These examples showcase how the bench enables learners to engage directly with modulation techniques, waveform behavior, and dynamic system response in real time. Beyond its immediate educational function, the platform has been intentionally designed to support experimental research in real-time control of power electronic systems. It provides a scalable and modular foundation for implementing a variety of advanced strategies, including closed-loop regulation, direct torque control (DTC) with controlled switching frequency, and vector control using both PI and RST regulators. The system architecture also accommodates intelligent control techniques, such as fuzzy logic and machine learning-based diagnostics, as well as real-time fault detection and fault-tolerant operation. These enhancements are planned as part of the next development phase and will be pursued in ongoing doctoral research projects. By bridging theoretical modeling with hardware-level validation, the platform prepares students and researchers to address emerging challenges in modern power electronics, including those related to smart grids, electric drives, and adaptive control systems.