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Implementation of Particle Swarm Optimization to Evaluate Single-Stage Impulse Generator Circuit Parameters

机译:粒子群优化的实现评估单级脉冲发生器电路参数

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In this paper, a new approach based on particle swarm optimization (PSO) algorithm is used to evaluate the single-stage impulse generator (SSIG) circuit parameters (R_1, R_2, C_1, and C_2) from the known values of rise and tail times. The results reported in this paper provide the standard lightning impulse (LI) signals which meticulously matches with those waveforms illustrated in the IEEE 4-2013, and IEC-62305-1,2010 standards. This is the first of its kind attempt to use PSO as a tool to evaluate the SSIG circuit parameters. This approach helps to overcome the practice of conventional trial and error methods for finding the impulse circuit parameters. These results are verified by the impulse circuit developed in MATLAB.
机译:在本文中,基于粒子群优化(PSO)算法的新方法用于评估从已知的上升和尾时间值的单级脉冲发生器(SSIG)电路参数(R_1,R_2,C_1和C_2) 。 本文报道的结果提供了标准闪电脉冲(LI)信号,其与IEEE 4-2013中所示的那些波形匹配,和IEC-62305-1,2010标准。 这是它首先尝试使用PSO作为评估SSIG电路参数的工具。 这种方法有助于克服传统试验和误差方法的做法,用于找到脉冲电路参数。 这些结果由Matlab中开发的脉冲电路验证。

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