Simplified Adaptation for the Dynamic Models Objectsof the One Class
- 10.2991/itids-19.2019.11How to use a DOI?
- advanced control, modeling, situational modeling, dynamic characteristics, adaptation, difference equation, real time.
Its need for the construction of Advanced Process Control (APC) system as part of the automated process control system this article considers the task of modeling and adapting the dynamic characteristics of the complex control objects elements represented by cognitive maps. The models in the form of second-order difference equations are taken as the basic structure of cognitive map relations models. Models of this type allow you to simulate the dynamics of objects in controllers in real time and solve the problem of functional diagnostics of measuring instruments, data verification in the process control system. This type of model allows you to simply adapt the parameters of the difference equation to varying characteristics of the technological object and, thus, display the non-linearity, non-stationary and multi-dimensionality of the control object. It is shown that for many refining processes, the adjustment of models in the form of second-order difference equations can be carried out by periodically changing one coefficient without significant loss of accuracy. The criterion for the start of the adaptation procedure is the appearance of a stable difference between the dynamic characteristics of the object and the model. The adaptation procedure is reduced to recalculating the value of one of the difference equation coefficients based on the value of the simulation error. The proposed description of the dynamic characteristics of the technological object in the form of difference equations and the procedure of adapting the model to the changing characteristics of the object allow their algorithmic implementation within the framework of the typing controllers resources, which reduces the cost and simplifies the development of APC systems.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexander Verevkin AU - Timur Murtazin AU - Zukhra Pavlova PY - 2019/05 DA - 2019/05 TI - Simplified Adaptation for the Dynamic Models Objectsof the One Class BT - Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019) PB - Atlantis Press SP - 57 EP - 60 SN - 1951-6851 UR - https://doi.org/10.2991/itids-19.2019.11 DO - 10.2991/itids-19.2019.11 ID - Verevkin2019/05 ER -