A Novel Approach to Develop the Lower Order Model of Multi-Input Multi-Output System

1st International Conference on Recent Advances in Aerospace Engineering

航空航天工程

Rajalakshmy, P.^1 ; Dharmalingam, S.^2 ; Jayakumar, J.^3

Department of EIE, Karunya University, Tamil Nadu, Coimbatore, India^1

Department of ICE, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India^2

Karunya University, TamilNadu, Coimbatore, India^3

关键词: Circulation systems;    High performance processors;    Lower order models;    Multi input multi output systems;    Multi-input multi-output system;    Natural sciences and engineerings;    Synergistic combinations;    Utility boiler;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/247/1/012005/pdf
DOI  :  10.1088/1757-899X/247/1/012005

学科分类：航空航天科学

来源: IOP

【 摘 要 】

A mathematical model is a virtual entity that uses mathematical language to describe the behavior of a system. Mathematical models are used particularly in the natural sciences and engineering disciplines like physics, biology, and electrical engineering as well as in the social sciences like economics, sociology and political science. Physicists, Engineers, Computer scientists, and Economists use mathematical models most extensively. With the advent of high performance processors and advanced mathematical computations, it is possible to develop high performing simulators for complicated Multi Input Multi Ouptut (MIMO) systems like Quadruple tank systems, Aircrafts, Boilers etc. This paper presents the development of the mathematical model of a 500 MW utility boiler which is a highly complex system. A synergistic combination of operational experience, system identification and lower order modeling philosophy has been effectively used to develop a simplified but accurate model of a circulation system of a utility boiler which is a MIMO system. The results obtained are found to be in good agreement with the physics of the process and with the results obtained through design procedure. The model obtained can be directly used for control system studies and to realize hardware simulators for boiler testing and operator training.