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An ANN Based Capicitor Voltage Balancing Method For Neutral Point Clamped Multi-Level Inverter

机译:中点钳位多电平逆变器的基于神经网络的电容器电压平衡方法

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Multi-level inverters are became popular for usage in medium voltage, low voltage power applications due to flexibility in control and better performance characteristics in terms of harmonic regulation. Neutral point clamped are popular as they require less number of sources as their input when compared with their counter parts i.e. cascaded multi-level inverters and found to be reliable when compared with flying capacitor based multi-level inverters. But when neutral clamped technologies are used for generation of three-phase voltages, the capacitors that are connected at input side experiences imbalance in their voltages, this makes neutral point clamped multi-level inverters less reliable. In the proposed work an attempt is made to study circuits that balances the capacitor voltages and a scheme is investigated for balancing the capacitor voltages. Method proposed in [1] uses PID controller for balancing the capacitor voltages. In this project PI based control scheme and artificial neural network (ANN) based control scheme for the front end circuit shown in [1] are designed for achieving balance among the capacitor voltages. The proposed control scheme is simulated with the help of Simpowersystems block set and neural network toolbox of MATLAB software for different load conditions. Results obtained from ANN based controller and PI controller are presented.
机译:由于控制的灵活性和谐波调节方面更好的性能,多电平逆变器已广泛用于中压,低压电源应用。中性点钳位是很受欢迎的,因为与它们的对应部分(即级联多电平逆变器)相比,它们需要较少的源作为输入,并且与基于飞行电容器的多电平逆变器相比,它被认为是可靠的。但是,当使用中性钳位技术生成三相电压时,在输入侧连接的电容器会出现电压不平衡的情况,这会使中性点钳位多电平逆变器的可靠性降低。在提出的工作中,尝试研究平衡电容器电压的电路,并研究了一种用于平衡电容器电压的方案。 [1]中提出的方法使用PID控制器来平衡电容器电压。在该项目中,为实现电容器电压之间的平衡而设计了基于PI的控制方案和基于人工神经网络(ANN)的[1]中所示的前端电路控制方案。借助Simpowersystems模块集和MATLAB软件的神经网络工具箱,针对不同的负载条件,对提出的控制方案进行了仿真。给出了从基于ANN的控制器和PI控制器获得的结果。

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