Parameter estimation of a DC motor using ordinary least squares and recursive least squares algorithms

Abstract

This paper gives an insight into the working and efficiency of the two basic algorithms used for parameter estimation: Ordinary Least Squares (OLS) and Recursive Least Squares (RLS). A simple DC motor is taken here as an example of a SISO system. The input voltage and the output in the form of rotations of the motor are given to the parameter estimator. The parameters of the motor are determined using both the algorithms and, hence, a comparison is given on the basis of those results.