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An improved model-free predictive current control for four-switch three-phase inverter-fed synchronous reluctance motor drives

机译:用于四开关三相逆变器供电的同步磁阻电机驱动器的改进的无模型预测电流控制

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This paper proposes an improved model-free predictive current control (MFPCC) scheme for four-switch three-phase (FSTP) inverter-fed synchronous reluctance motor (SynRM) drive systems. Unlike the existing model-based predictive current control (MBPCC), the improved MFPCC does not need any motor parameters due to the current sensor based approach, where only once current measurement is required in each sampling interval. According to the measured stator current and pre-saved current differences, the future stator current can be predicted without estimating the back-EMF of motor. Next, a cost function is defined to compute all possible future current errors under four switching states generated by the FSTP inverter. The next switching state can be decided to control the FSTP in the next sampling interval to obtain the cost function. Additionally, a passivity-based adaptive backstepping complementary sliding-mode (PBABCSM) controller is adopted in this study to improve the position tracking performance of the FSTP inverter-fed SynRM drives. The stability of the closed-loop system has been verified through passivity theory and Barbalat's lemma. Furthermore, simulation results are provided to validate the effectiveness of the proposed method.
机译:本文提出了一种改进的无模型预测电流控制(MFPCC)方案,该方案适用于四开关三相(FSTP)逆变器供电的同步磁阻电动机(SynRM)驱动系统。与现有的基于模型的预测电流控制(MBPCC)不同,由于基于电流传感器的方法,改进的MFPCC不需要任何电动机参数,在每个采样间隔中仅需进行一次电流测量。根据测得的定子电流和预先保存的电流差,可以预测未来的定子电流而无需估计电动机的反电动势。接下来,定义一个成本函数,以计算由FSTP逆变器生成的四个开关状态下所有可能的未来电流误差。可以决定下一个切换状态来控制下一个采样间隔中的FSTP,以获得成本函数。另外,本研究采用基于无源的自适应反步互补滑模(PBABCSM)控制器来改善FSTP逆变器供电的SynRM驱动器的位置跟踪性能。闭环系统的稳定性已通过无源理论和Barbalat引理进行了验证。此外,提供了仿真结果以验证所提出方法的有效性。

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