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

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