Parameter Estimation of a DC Motor-Gear-Alternator (MGA) System via Step Response Methodology
American Journal of Applied Mathematics
Volume 4, Issue 5, October 2016, Pages: 252-257
Received: Sep. 16, 2016;
Accepted: Oct. 2, 2016;
Published: Oct. 27, 2016
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Wesley Koech, Department of Mathematics and Physics, School of Biological and Physical Sciences, Moi University, Eldoret, Kenya
Titus Rotich, Department of Centre for Teacher Education, School of Education, Moi University, Eldoret, Kenya
Fredrick Nyamwala, Department of Mathematics and Physics, School of Biological and Physical Sciences, Moi University, Eldoret, Kenya
Samwel Rotich, Department of Mathematics and Physics, School of Biological and Physical Sciences, Moi University, Eldoret, Kenya
Mathematical models and their parameters are essential when designing controllers because they allow the designer to predict the closed loop behavior of the system. An accurate method for estimating the DC Motor-Gear-Alternator (MGA) system parameters is needed before constructing the reliable model. This paper proposed a new method of parameter estimation using Matlab/Simulink parameter estimation tool via Step Response Methodology. Optimization algorithms including the nonlinear least square, Gradient Descent, Simplex Search and Pattern Search are discussed. Simulink Design Optimization automatically estimated parameters of the MGA model from measured input-output data.
Parameter Estimation of a DC Motor-Gear-Alternator (MGA) System via Step Response Methodology, American Journal of Applied Mathematics.
Vol. 4, No. 5,
2016, pp. 252-257.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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