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 par...
| Authors: | , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2019 |
| Country: | Colombia |
| Institution: | Universidad Cooperativa de Colombia |
| Repository: | Repositorio UCC |
| OAI Identifier: | oai:repository.ucc.edu.co:20.500.12494/15487 |
| Online Access: | https://hdl.handle.net/20.500.12494/15487 |
| Access Level: | Open access |
| Keyword: | Efecto Pockels Sensor de alto voltaje Técnicas de alto voltaje Sensor óptico Mediciones del sistema de potencia Optimización numérica Métodos de optimización |
| Summary: | 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. |
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