Operating point, dynamic behavior, and control structure design for an industrial butadiene plant

2001 ◽  
Vol 34 (25) ◽  
pp. 131-136
Author(s):  
S.M. Marcon ◽  
J.O. Trierweile ◽  
A.R. Secchi ◽  
L.P. Lusa ◽  
M. Farenzena
Keyword(s):  
Dynamic Behavior ◽  
Control Structure ◽  
Structure Design ◽  
Operating Point ◽  
And Control

Self-Optimizing and Control Structure Design for a CO2 Capturing Plant

2010 ◽  
pp. 331-338 ◽  
Author(s):  
Mehdi Panahi ◽  
Mehdi Karimi ◽  
Sigurd Skogestad ◽  
Magne Hillestad ◽  
Hallvard F. Svendsen
Keyword(s):  
Control Structure ◽  
Structure Design ◽  
Co2 Capturing ◽  
And Control

Dynamics and control of the Czochralski process II. Objectives and control structure design

1988 ◽  
Vol 91 (1-2) ◽  
pp. 199-217 ◽  
Author(s):  
Michael A. Gevelber ◽  
George Stephanopoulos ◽  
Michael J. Wargo
Keyword(s):  
Control Structure ◽  
Structure Design ◽  
Dynamics And Control ◽  
And Control ◽  
Czochralski Process

Identification and Control Structure Design in Active (Acoustic) Noise Control

2007 ◽  
pp. 203-244
Author(s):  
Miquel A. Cugueró ◽  
Bernardo Morcego ◽  
Ricardo S. Sánchez Peña
Keyword(s):  
Noise Control ◽  
Control Structure ◽  
Acoustic Noise ◽  
Structure Design ◽  
And Control

Dynamic Modeling of a Cogenerating Nuclear Gas Turbine Plant—Part II: Dynamic Behavior and Control

2002 ◽  
Vol 124 (3) ◽  
pp. 734-743 ◽  
Author(s):  
J. F. Kikstra ◽  
A. H. M. Verkooijen
Keyword(s):  
Control System ◽  
Gas Turbine ◽  
Dynamic Behavior ◽  
Control Structure ◽  
Control Valve ◽  
Turbine Plant ◽  
Control Loops ◽  
Wide Range ◽  
Gas Turbine Plant ◽  
And Control

Using the dynamic model of the cogenerating nuclear gas turbine plant developed in Part I of this article, the dynamic behavior of this plant is analyzed and a control structure is designed. First it is determined how several design choices affect the system dynamics. Then the requirements and options for a control system design are investigated. A number of possible control valve positions in the flowsheet are tested with transients in order to make an argued choice. The model is subsequently used to determine the optimal working conditions for different heat and power demands, these are used as set-points for the control system. Then the interaction between manipulated and controlled variables is mapped and based on this information a choice for coupling them in decentralized feedback control loops is made. This control structure is then tuned and tested. It can be concluded that both heat and power demand can be followed with acceptable performance over a wide range.

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