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首页> 外文期刊>Current Journal of Applied Science and Technology >Torque Ripple Minimization in Switch Reluctance MotorUsing Model Predictive Control for Water PumpingApplication
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Torque Ripple Minimization in Switch Reluctance MotorUsing Model Predictive Control for Water PumpingApplication

机译:开关磁阻电机转矩脉动最小化模型预测控制在水泵中的应用

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This paper presents the torque ripple minimization in switched reluctance motor (SRM) for water pumping. The model predictive control (MPC), one of the rugged control, is used to minimize this torque ripple. According to the receding horizon, the MPC predicted the behavior of the system by generating the control signal to minimize the torque ripple. At each sampling time, an optimal control for torque ripples minimization is elaborated and only the first element is applied to the system according to the receding horizon control. The MPC minimized the real stator currents to reach the objective. The simulations on Matlab demonstrated that a very low rate of ripples could be obtained by setting the parameters of the MPC indicating the high potential of MPC in the control of SRM.
机译:本文介绍了用于抽水的开关磁阻电机(SRM)中的转矩脉动最小化。模型预测控制(MPC)是坚固性控制之一,用于最小化此转矩波动。根据后退范围,MPC通过生成控制信号以最小化转矩波动来预测系统的行为。在每个采样时间,详细说明了最佳的转矩脉动最小化控制,并且根据后退水平控制,仅将第一个元素应用于系统。 MPC将实际定子电流最小化以达到目标。在Matlab上进行的仿真表明,通过设置MPC的参数表明SPC控制中MPC的潜力很大,可以获得非常低的纹波率。

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