Performance parameters estimation of Pockels high-voltage sensors by means of numerical optimization

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. © 1963-2012 IEEE.

• Autores: Velez Hoyos, Francisco Javier; Aristizabal Tique, Victor Hugo; Gómez Montoya, Nicolas Alberto; Salazar Escobar, Hernán De Jesús; Flórez Velasquez, Camilo Andrés
• Tipo de recurso: Article of journal
• Fecha de publicación: 2019
• Institución: Universidad Cooperativa de Colombia
• Repositorio: Repositorio UCC
• OAI Identifier: oai:repository.ucc.edu.co:20.500.12494/41750
• Acceso en línea: https://doi.org/10.15517/aie.v17i2.28679; https://hdl.handle.net/20.500.12494/41750
• Palabra clave: Electric power system measurement; Numerical methods; Optical sensors; Parameter estimation; High voltage; High voltage techniques; Numerical optimizations; Optimization method; Pockels effect; Optimization
• Rights: closedAccess
• License: http://purl.org/coar/access_right/c_14cb