State-space Modeling and Estimation of Coupled PDE System: A Case Study in Sintering Process

被引：0

作者：

Chandra, Souvik ^{[1
]}

Nundy, Sangeeta ^{[1
]}

Mukhopadhyay, Siddhartha ^{[1
]}

机构：

[1] IIT Kharagpur, Dept Elect Engn, Kharagpur, W Bengal, India

来源：

2011 ANNUAL IEEE INDIA CONFERENCE (INDICON-2011): ENGINEERING SUSTAINABLE SOLUTIONS | 2011年

关键词：

Sintering process; Finite Difference method; State space representation; Extended Kalman Filter; Partial Differential Equation; POINT;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a generic technique of state space modeling of systems described by coupled Partial Differential Equations. The Finite Difference Method has been used to obtain a discretized form of the equations which are then cast into a state space model. An Extended Kalman Filter based algorithm can be used with the obtained state space model to estimate the spatially distributed profile of the dependent variables. This technique has been framed into an algorithm which is discussed in details in this work. Fire line estimation in Sintering process has been carried out using the algorithm, as an example of an industrial process.

引用

页数：6

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