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<p>Conventional predictive current control exhibits a strong dependence on accurate parameter estimation. As motor operating conditions vary, parameter mismatches may arise due to external influences, resulting in current deviation and oscillations. To address this issue, a novel sequential parameter identification method is proposed. The key parameters of the motor, including inductance, resistance, and flux linkage are identified sequentially. For parameter errors during motor operation, a gradient-step iterative method is utilized so that the parameter errors gradually converge to their accurate values. Consequently, the deadbeat current tracking performance is ensured, while system stability and dynamic response are significantly enhanced. The proposed Gradient-Feature-Based Three-Parameter Identification Deadbeat Predictive Current Control (GT-DPCC) is experimentally validated on a 64 W Permanent magnet synchronous motor (PMSM) drive platform, demonstrating its effectiveness and superiority. These findings provide a new perspective for the design of high-performance motor control systems.</p>

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Improved Deadbeat Predictive Current Control of Permanent Magnet Synchronous Motors Based on Gradient-Feature Three-Parameter Identification

  • 期刊论文

  • 发表日期：

    2026年7月7日

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  • Bocheng Shi,
  • Junlei Chen,
  • Yiming Fang,
  • Gangzheng Zhang,
  • Jingying Wu

摘要

Conventional predictive current control exhibits a strong dependence on accurate parameter estimation. As motor operating conditions vary, parameter mismatches may arise due to external influences, resulting in current deviation and oscillations. To address this issue, a novel sequential parameter identification method is proposed. The key parameters of the motor, including inductance, resistance, and flux linkage are identified sequentially. For parameter errors during motor operation, a gradient-step iterative method is utilized so that the parameter errors gradually converge to their accurate values. Consequently, the deadbeat current tracking performance is ensured, while system stability and dynamic response are significantly enhanced. The proposed Gradient-Feature-Based Three-Parameter Identification Deadbeat Predictive Current Control (GT-DPCC) is experimentally validated on a 64 W Permanent magnet synchronous motor (PMSM) drive platform, demonstrating its effectiveness and superiority. These findings provide a new perspective for the design of high-performance motor control systems.