Identifation of slide valve dynamics with errors in variables

This paper proposes an algorithm for identifying the dynamics of a slide valve with errors in variables. Estimation of nonlinear parameters of exponential functions in the presence of noise is associated with known difficulties. The paper proposes a transition from a nonlinear in the estimated parameters of the static model to a linear in the parameters of the dynamic model. The estimation of the parameters of the dynamic model is carried out on the basis of the solution of the bias normal system of algebraic equations. The biased normal system of algebraic equations is often ill-conditioned. The paper proposes estimating parameters with a method based on equivalent extended systems. In testing algorithms, it was found that when there were errors in measurements related to the rod, the proposed algorithm yielded more accurate parameter estimates as compared with the least-squares technique. The proposed algorithm for estimating the parameters of slide valve will increase the accuracy of the control systems, as well as can be used to control the serviceability of slide valve.