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Performance parameters estimation of Pockels high-voltage sensors by means of numerical optimization
IEEE Transactions on Instrumentation and Measurement ( IF 5.6 ) Pub Date : 2020-04-01 , DOI: 10.1109/tim.2019.2912590
Victor H. Aristizabal-Tique 1 , Nicolás A. Gómez-Montoya 2 , Hernán de J. Salazar-Escobar 2 , Francisco J. Vélez-Hoyos 1 , Camilo A. Flórez-Velasquez 3
Affiliation  

In this paper, a method for performance parameters estimation of Pockels high-voltage sensors by means of numerical optimization is presented. The proposed method integrates a theoretical model for simulation of Pockels sensors, and the optimization algorithm Pattern Search to estimate the model parameters in order to minimize the difference between the experimental and theoretical peak-peak output voltage. Two Pockels cells were built and tested for validation of the method, where model parameters estimated by means of numerical optimization were substituted in the theoretical model and compared with the experimental data for the peak-peak output voltage and output voltage in function of time, presenting a high degree of agreement between them, showing that the optimization resulted in a good solution.

中文翻译:

基于数值优化的Pockels高压传感器性能参数估计

本文提出了一种基于数值优化的Pockels高压传感器性能参数估计方法。所提出的方法集成了模拟普克尔斯传感器的理论模型和优化算法模式搜索来估计模型参数,以最小化实验和理论峰峰值输出电压之间的差异。建立并测试了两个普克尔斯盒以验证该方法,其中将通过数值优化估计的模型参数代入理论模型中,并与峰峰值输出电压和输出电压随时间变化的实验数据进行比较,呈现他们之间的高度一致,表明优化产生了一个很好的解决方案。
更新日期:2020-04-01
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