Performance Parameters Estimation of Pockels High-Voltage Sensors by Means of Numerical Optimization

• Published in: IEEE transactions on instrumentation and measurement Vol. 69; no. 4; pp. 1540 - 1546
• Main Authors: Aristizabal-Tique, Victor H., Gomez-Montoya, Nicolas A., de J. Salazar-Escobar, Hernan, Velez-Hoyos, Francisco J., Florez-Velasquez, Camilo A.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Crystals; High voltages; High-voltage sensor; high-voltage techniques; Numerical models; numerical optimization; Optical polarization; optical sensor; Optical sensors; Optimization; optimization methods; Order parameters; Parameter estimation; Pattern search; Pockels cells; Pockels effect; power system measurements; Sensors; Voltage measurement
• ISSN: 0018-9456; 1557-9662
• DOI: 10.1109/TIM.2019.2912590

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.