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To achieve parameter-independent control in both healthy and inter-turn short-circuit (ITSC) fault conditions, this paper proposes a dynamic mode decomposition with control (DMDc)-based model predictive current control scheme for five-phase permanent magnet synchronous motors (PMSMs). The method constructs discrete-domain drive models by identifying state and input matrices through DMDc identification under open-loop speed operation, enabling parameter-free prediction. For the reduction of the torque ripple induced by ITSC faults, an improved fault-tolerant strategy injects compensation currents derived from the integrated product of short-circuit ratio and current estimated via AC components of the q-axis current variations. Experimental results validate the framework’s effectiveness in the control of five-phase PMSMs across healthy and faulty situations.

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Dynamic Mode Decomposition-Based Model Predictive Control of Five-Phase PMSM with Inter-Turn Short-Circuit Fault

  • 会议论文

  • 发表日期：

    2026年

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  • Yijia Huang,
  • Keyang Ru,
  • Wentao Huang

摘要

To achieve parameter-independent control in both healthy and inter-turn short-circuit (ITSC) fault conditions, this paper proposes a dynamic mode decomposition with control (DMDc)-based model predictive current control scheme for five-phase permanent magnet synchronous motors (PMSMs). The method constructs discrete-domain drive models by identifying state and input matrices through DMDc identification under open-loop speed operation, enabling parameter-free prediction. For the reduction of the torque ripple induced by ITSC faults, an improved fault-tolerant strategy injects compensation currents derived from the integrated product of short-circuit ratio and current estimated via AC components of the q-axis current variations. Experimental results validate the framework’s effectiveness in the control of five-phase PMSMs across healthy and faulty situations.