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Extracting dynamic resistance from a pulsed power switch with a least squares approach

机译:用最小二乘法从脉冲功率开关中提取动态电阻

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Pulsed power gas switches operate under extreme conditions holding off voltages at millions of volts and greater, conducting currents at 100's of kiloamps, and can reliably trigger with less than 10ns of jitter at optimal operating conditions. However as Martin and Braginskii had noted the impedance of these switches is dynamic and a function of many parameters such as gas pressure, current, and the number of channels. In systems such as PROTOGEN or URSA MINOR many gas switches are utilized to enable optimal performance and pulse shaping. A challenge with either system is that, if the switches are tightly coupled and one switch triggers early, then the fields on the second switch change dramatically and can move the second switch into a new operating regime that will result in a different dynamic resistance. This paper presents a least squares approach to extracting the Martin and Braginskii dynamic resistance from measured data. Results from this approach are compared to previous approaches utilizing piecewise nonlinear least squares.
机译:脉冲式气体开关在极端条件下工作,可阻止数百万伏及更高的电压,在100千安培的电流下传导电流,并且在最佳工作条件下可以可靠地触发少于10ns的抖动。但是,正如Martin和Braginskii所指出的那样,这些开关的阻抗是动态的,并且是许多参数(例如气压,电流和通道数)的函数。在诸如PROTOGEN或URSA MINOR的系统中,许多气体开关用于实现最佳性能和脉冲整形。任一种系统的挑战在于,如果开关紧密耦合且一个开关提早触发,则第二个开关上的磁场会发生巨大变化,并使第二个开关进入新的工作状态,从而导致不同的动态电阻。本文提出了一种最小二乘法来从测量数据中提取马丁和布拉金斯基动阻力。将该方法的结果与使用分段非线性最小二乘法的先前方法进行比较。

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