Experimental online identification of a three-mass mechanical system

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.

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