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Voltage utilization in Model Predictive Control for IPMSM

机译:IPMSM模型预测控制中的电压利用率

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Model Predictive Control (MPC) includes a mathematical model of the controlled system. Based on this model optimal actuating variables for future timesteps are determined in every sampling step. Thus the MPC exhibits a better response to a setpoint step compared to conventional control. In this paper a Model Predictive Control method for nonlinear systems with inherent output saturation is presented. This approach offers real-time capability for online MPC even with process time constants in the range of milliseconds, enabling the use of MPC for control of permanent magnet synchronous motors with interior magnets (IPMSM). Besides the good dynamics, the utilization of the DC link voltage is important for these motor types. Since the MPC is able to utilize the available DC link voltage optimally, the MPC is superior to conventional controls not only in terms of dynamics. This is demonstrated by simulation results, as well as by measurements on a testbench.
机译:模型预测控制(MPC)包括受控系统的数学模型。基于该模型,在每个采样步骤中确定未来时间步骤的最佳激活变量。因此,与传统控制相比,MPC对设定的步骤表现出更好的响应。本文提出了一种具有固有输出饱和度的非线性系统模型预测控制方法。此方法即使使用毫秒范围内的过程时间常数,这种方法也为在线MPC提供实时能力,从而使用MPC使用MPC进行内部磁体(IPMSM)的永磁同步电机。除了良好的动态之外,DC链路电压的利用对于这些电机类型非常重要。由于MPC能够最佳地利用可用的直流链路电压,因此MPC不仅在动态方面优于传统的控制。这通过模拟结果和测试禁止的测量来证明这一点。

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