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<p>This paper presents the development and validation of a sampled-data control framework for precise speed regulation of a brushed DC (BDC) motor coupled with a generator load. A detailed mathematical model of the coupled motor-generator system is established, incorporating PWM switching noise and parameter uncertainties to reflect real-world physical dynamics and provide a practical foundation for controller design. To achieve accurate control performance on a digital control platform, a sampled-data controller is designed based on a lightweight looped functional that nonetheless retains a new cross term. The effectiveness of the proposed controller is validated through simulation results using Simscape, a physical modeling tool, which demonstrates its feasibility in sampled-data control environments for coupled electromechanical systems.</p>

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Towards Robust Sampled-data Speed Control of DC Drive Systems: Coping With Parameter Uncertainties and PWM Switching Noise

  • 期刊论文

  • 发表日期：

    2025年11月4日

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  • Yu Jin Choi,
  • Sung Hyun Kim

摘要

This paper presents the development and validation of a sampled-data control framework for precise speed regulation of a brushed DC (BDC) motor coupled with a generator load. A detailed mathematical model of the coupled motor-generator system is established, incorporating PWM switching noise and parameter uncertainties to reflect real-world physical dynamics and provide a practical foundation for controller design. To achieve accurate control performance on a digital control platform, a sampled-data controller is designed based on a lightweight looped functional that nonetheless retains a new cross term. The effectiveness of the proposed controller is validated through simulation results using Simscape, a physical modeling tool, which demonstrates its feasibility in sampled-data control environments for coupled electromechanical systems.