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<p>In order to overcome the issues associated with excessive torque pulsation and prolonged dynamic time in switched reluctance motors (SRM) when utilizing traditional sliding mode control, a direct instantaneous torque control(DITC) method for switched reluctance motors(SRMs), based on an enhanced sliding mode speed controller (SMSC) and disturbance observer, is proposed. Initially, state variables are introduced to construct a novel sliding mode surface and sliding mode convergence rate, which serves to diminish the fluctuations in torque and the requisite time for dynamic process adjustments of the motor under diverse operational conditions. The stability of the enhanced sliding mode controller is demonstrated through the use of a Lyapunov function. Furthermore, in order to circumvent the impact of load disturbances on the system’s stability, a nonlinear disturbance observer has been devised. This observer aims to estimate and compensate for disturbances in real time, utilizing the super twisted algorithm (STA) as the underlying methodology. The impact of the motor’s intrinsic parameter uncertainty on the control system is mitigated. The efficacy of the proposed scheme is demonstrated through simulations and experiments, which reveal that it can significantly enhance the dynamic performance of the control system across a range of operating conditions.</p>

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Direct instantaneous torque control of switched reluctance motor based on improved sliding mode controller and disturbance observer

  • 期刊论文

  • 发表日期：

    2025年4月9日

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  • Hongyan Li,
  • Zhengchao Li,
  • Lingyin Xing,
  • Weitao Liang,
  • Xiaodie Chen

摘要

In order to overcome the issues associated with excessive torque pulsation and prolonged dynamic time in switched reluctance motors (SRM) when utilizing traditional sliding mode control, a direct instantaneous torque control(DITC) method for switched reluctance motors(SRMs), based on an enhanced sliding mode speed controller (SMSC) and disturbance observer, is proposed. Initially, state variables are introduced to construct a novel sliding mode surface and sliding mode convergence rate, which serves to diminish the fluctuations in torque and the requisite time for dynamic process adjustments of the motor under diverse operational conditions. The stability of the enhanced sliding mode controller is demonstrated through the use of a Lyapunov function. Furthermore, in order to circumvent the impact of load disturbances on the system’s stability, a nonlinear disturbance observer has been devised. This observer aims to estimate and compensate for disturbances in real time, utilizing the super twisted algorithm (STA) as the underlying methodology. The impact of the motor’s intrinsic parameter uncertainty on the control system is mitigated. The efficacy of the proposed scheme is demonstrated through simulations and experiments, which reveal that it can significantly enhance the dynamic performance of the control system across a range of operating conditions.