Abstract
Plant identification has long been of prime interest in industrial applications. This paper presents experimental online identification of a DC motor in digital input/output model. Studies are carried out by formulating the mathematical model of the plant using differential equations, and discrete-time identification using online plant input-output data. A recursive least squares method is used to estimate the unknown parameters of the motor. Discrete-time data are obtained experimentally carrying out on a DC motor setup. A direct identification method is used in closed loop identification. The root-mean-square (RMS) error criterion is used for model validation. Results obtained in open loop and closed loop identifications are presented which show variations in machine parameters.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
