An Engineering Technique of Process Modeling And Control For Distributed Parameter Systems - A Case Study

1984 ◽  
Vol 17 (2) ◽  
pp. 1979-1984
Author(s):  
Yong-zai Lu ◽  
T.J. Williams
Keyword(s):  
Process Modeling ◽  
Distributed Parameter Systems ◽  
Distributed Parameter ◽  
Modeling And Control ◽  
Engineering Technique ◽  
And Control

Process modeling and control applied to real-time monitoring of distillation processes by near-infrared spectroscopy

2017 ◽  
Vol 985 ◽  
pp. 41-53 ◽  
Author(s):  
Rodrigo R. de Oliveira ◽  
Ricardo H.P. Pedroza ◽  
A.O. Sousa ◽  
Kássio M.G. Lima ◽  
Anna de Juan
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared Spectroscopy ◽  
Process Modeling ◽  
Near Infrared ◽  
Real Time Monitoring ◽  
Modeling And Control ◽  
And Control

Modeling and Control of a Complex Interacting Process

2011 ◽  
Vol 403-408 ◽  
pp. 3758-3762
Author(s):  
Subhajit Patra ◽  
Prabirkumar Saha
Keyword(s):  
Storage System ◽  
Linear Quadratic Regulator ◽  
Model Parameters ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Dynamic Matrix ◽  
Liquid Storage ◽  
Efficient Control ◽  
And Control

In this paper, two efficient control algorithms are discussed viz., Linear Quadratic Regulator (LQR) and Dynamic Matrix Controller (DMC) and their applicability has been demonstrated through case study with a complex interacting process viz., a laboratory based four tank liquid storage system. The process has Two Input Two Output (TITO) structure and is available for experimental study. A mathematical model of the process has been developed using first principles. Model parameters have been estimated through the experimentation results. The performance of the controllers (LQR and DMC) has been compared to that of industrially more accepted PID controller.

Sign in / Sign up

Export Citation Format

Share Document