Parameter Estimation of a dc Motor-Gear-ac Generator Mathematical Model

Paul Kiplimo Tarus *

Department of Pure and Applied Science, Kisii University P.O. BOX 408-40200 Kisii, Kenya.

Wesley Cheruiyot Koech

Department of Mathematics, Physic and Computing, Moi University P.O. BOX 3900-30100 Eldoret, Kenya.

*Author to whom correspondence should be addressed.


Abstract

Mathematical  models and there parameters are essential for designers to predict the close loop behaviors of the plant so that systems are stable. A block model is develop in the MATLAB/simulink for the DC Motor-Gear-AC-Generator mathematical model in this paper, the block built is used to estimate the parameters in the estimation node using the gradient descent, simplex search and nonlinear least square algorithm. Gradient descent curve match that of the experimental data and its values are used in the DC Motor-Gear-AC Generator mathematical model.

Objective:

  1. To built block simulink
  2. Estimate the parameters of the DC Motor-Gear-Generator mathematical model.

Keywords: Simulink, motor, generator, parameters.


How to Cite

Tarus, Paul Kiplimo, and Wesley Cheruiyot Koech. 2021. “Parameter Estimation of a Dc Motor-Gear-Ac Generator Mathematical Model”. Journal of Advances in Mathematics and Computer Science 36 (10):10-18. https://doi.org/10.9734/jamcs/2021/v36i1030408.

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