Combining Algebraic Identification and a Least Squares method for DC servomechanism identification

This contribution presents a parameter identification method for estimating a four-parameter model of a DC servomechanism. The proposed approach uses a parametrization derived using the Operational Calculus and employed in some Algebraic Identification Methods recently proposed in the literature. The procedure for obtaining this parametrization eliminates the constant disturbances affecting the servomechanism and filters out the high frequency measurement noise. A standard continuous-time Least Squares algorithm uses this parametrization for identifying the servomechanism parameters thus circumventing the problem of singularities found on the Algebraic Identification Methods. Experimental results on a laboratory prototype allow comparing the results obtained using both, the Algebraic Identification and the proposed methods.