A Comparative Analysis Between Genetic Algorithms and Complex Nonlinear Least Squares on Electrical Impedance Characterization

This paper compares the performance of the complex nonlinear least squares algorithm implemented in the LEVM/LEVMW software with the performance of a genetic algorithm in the characterization of an electrical impedance of known topology. The effect of the number of measured frequency points and of m...

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Bibliographic Details
Main Author: Janeiro, Fernando M. (author)
Other Authors: Ramos, Pedro M. (author)
Format: lecture
Language:eng
Published: 2017
Subjects:
genetic algorithms
complex nonlinear least squares
impedance characterization
electrical impedance spectroscopy
Online Access:http://hdl.handle.net/10174/20067
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/20067
Description
Summary:This paper compares the performance of the complex nonlinear least squares algorithm implemented in the LEVM/LEVMW software with the performance of a genetic algorithm in the characterization of an electrical impedance of known topology. The effect of the number of measured frequency points and of measurement uncertainty on the estimation of circuit parameters is presented. The analysis is performed on the equivalent circuit impedance of a humidity sensor.

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