Laskawski, M.S. and Kazala, R. (2018) Identification of Parameters of Inertial Models Using the Levenberg-Marquardt Method. Proceedings of the 2018th Conference on Electrotechnology: Processes, Models, Control and Computer Science (EPMCCS), Kielce, 12-14 November 2018, 1-5.
https://doi.org/10.1109/EPMCCS.2018.8596396

has been cited by the following article:

• TITLE: Closed-Loop System Identification Approach of the Inertial Models

  AUTHORS: Irina Cojuhari

  KEYWORDS: Closed-Loop Identification, Mathematical Modelling, Inertial Models, Time Delay, Astatism

  JOURNAL NAME: Applied Mathematics, Vol.14 No.2, February 7, 2023

  ABSTRACT: The mathematical model that approximates the dynamics of the industrial process is essential for the efficient synthesis of control algorithms in industrial applications. The model of the process can be obtained according to the identification procedures in the open-loop, or in the closed-loop. In the open-loop, the identification methods are well known and offer good process approximation, which is not valid for the closed-loop identification, when the system provides the feedback output and doesn’t permit it to be identified in the open-loop. This paper offers an approach for experimental identification in the closed-loop, which supposes the approximation of the process with inertial models, with or without time delay and astatism. The coefficients are calculated based on the values of the critical transfer coefficient and period of the underdamped response of the closed-loop system with P controller, when system achieves the limit of stability. Finally, the closed-loop identification was verified by the computer simulation and the obtained results demonstrated, that the identification procedure in the closed-loop offers good results in process of estimation of the model of the process.