Process identification for second-order plus dead time model using pulse input

Abstract

A new method of process identification for a second-order plus dead time model is proposed and tested with two example systems. In the activation of the example processes for the identification, a rectangular pulse input is applied to open loop systems. The estimation of model parameters is conducted by minimizing sum of modeling errors with the least squares method. The estimation performance is examined by comparing the pulse responses from the example system and the estimated model. The performance comparison of the proposed method and two existing techniques indicates that satisfactory parameter estimation is available from the proposed procedure. In addition, the role of sampling time and the aspect ratio of input pulse is examined and the noise robustness of the estimation in noisy process is investigated.