Title : ( Calibration Optimization of DC Motor Parameters Using Nonlinear Optimization Techniques under Uncertainty )
Authors: Hamed Keshmiri neghab , Naser Pariz ,
Full TextAbstract
In this paper we demonstrate how to estimate the parameters of a Nonlinear DC Motor using different Nonlinear Optimization techniques of fitting parameters to model, that called model calibration. Then we identification unknown parameters of the mathematical model with the nonlinear optimization techniques for the fitting routines and model calibration process.
Keywords
, Calibration; Levenberg, Marquardt; Constrained Nonlinear Optimization; Gauss, Newton Optimization; Uncertainty.
@inproceedings{paperid:1075695,
author = {Keshmiri Neghab, Hamed and Pariz, Naser},
title = {Calibration Optimization of DC Motor Parameters Using Nonlinear Optimization Techniques under Uncertainty},
booktitle = {2019 IEEE 4th Conference on Technology In Electrical and Computer Engineering (ETECH 2019) Information and Communication Technology},
year = {2019},
location = {تهران, IRAN},
keywords = {Calibration; Levenberg-Marquardt; Constrained
Nonlinear Optimization; Gauss-Newton Optimization; Uncertainty.},
}
%0 Conference Proceedings
%T Calibration Optimization of DC Motor Parameters Using Nonlinear Optimization Techniques under Uncertainty
%A Keshmiri Neghab, Hamed
%A Pariz, Naser
%J 2019 IEEE 4th Conference on Technology In Electrical and Computer Engineering (ETECH 2019) Information and Communication Technology
%D 2019
