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Sensorless Control of Single Switch-Based Switched Reluctance Motor Drive Using Neural Network

机译：基于神经网络的基于单开关的开关磁阻电机驱动器的无传感器控制

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Neural networks (NNs) have proven to be useful in approximating nonlinear systems and in many applications, including motion control. Hitherto, NNs advocated in switched reluctance motor (SRM) control have a large number of neurons in the hidden layer. This has impeded their real-time implementation with DSPs, particularly at high rotational speeds, because of the large number of operations required by the NN controller within a sampling interval. One of the ideal applications of NNs in SRM control is in rotor position estimation using only current and/or voltage signals. Elimination of rotor position sensors is practically mandatory for high-volume, high-speed, and low-cost applications of SRMs, for example, in home appliances such as in vacuum cleaners. In this paper, through simulation and analysis, it is demonstrated that a minimal NN configuration is attainable to implement rotor position estimation in SRM drives. The NN is trained and implemented on an inexpensive DSP microcontroller. NN training data, current, and flux linkage are obtained directly from the system during its operation. Furthermore, the chosen method is implemented on a single-switch-converter-driven SRM with two phases. This configuration of the motor drive is chosen because it is believed that this is the lowest cost variable speed machine system available. Experimental verification of this motor drive system is provided to demonstrate the viability of the proposed approach for the development of low-cost motor drives.
机译：事实证明，神经网络（NN）可用于逼近非线性系统以及包括运动控制在内的许多应用。迄今为止，提倡在开关磁阻电机（SRM）控制中使用的NN在隐藏层中具有大量神经元。由于在采样间隔内NN控制器需要大量的运算，这阻碍了DSP的实时实现，尤其是在高转速下。神经网络在SRM控制中的理想应用之一是仅使用电流和/或电压信号进行转子位置估计。实际上，对于SRM的大批量，高速和低成本应用，例如在真空吸尘器等家用电器中，必须取消转子位置传感器。在本文中，通过仿真和分析，证明了在SRM驱动器中可以实现最小的NN配置来实现转子位置估计。在廉价的DSP微控制器上对NN进行培训和实现。 NN训练数据，电流和通量链接直接从系统运行期间获得。此外，选择的方法在具有两个阶段的单开关转换器驱动的SRM上实现。选择电动驱动器的这种配置是因为可以相信这是现有成本最低的变速机器系统。提供了对该电动机驱动系统的实验验证，以证明所提出的用于开发低成本电动机驱动器的方法的可行性。

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