SELECTION OF THE BEST CONTROL CONFIGURATION FOR AN INDUSTRIAL DISTILLATION COLUMN

Author(s):  
D. Ariburnu ◽  
C. Ozgen ◽  
T. Gurkan
2000 ◽  
Vol 55 (21) ◽  
pp. 4925-4937 ◽  
Author(s):  
Rosendo Monroy-Loperena ◽  
Eduardo Perez-Cisneros ◽  
Jose Alvarez-Ramirez

Author(s):  
Ilan Rusnak

The issue of the organization of control and feedback can be subdivided into several subjects: i) Selection of performance objectives; ii) The control algorithms; iii) Selection of measured and manipulated variables; and iv) Feedback organization. In previous publication [1] partial survey of the issues above and a terminology for feedback and control organization has been presented, that is, not all issues and not all relevant disciplines have been covered. Namely, motion control and servo-regulator applications have been covered; however, aircraft control, missile autopilots and process control have been barely covered. The issues of: (i) Selection of measured variables (location of sensors) and manipulated variables (location of actuators) called as well as Input-Output Selection (IO); (ii) Control Structure Design (CSD); and (iii) Control Configuration selection (CC); had not been covered and are presented here. These issues are strictly proper sub-issues of the Control and Feedback organization problem. This paper extends the survey to additional disciplines and subjects. Thus this paper can be considered as part II and supplement of [1]. Using the definitions the problem of Control and Feedback Organization (CFO) is defined over the set theory within the well-established functional analysis and optimal control theories. The optimal control-feedback organization problem and the optimal simultaneous design of the system and feedback configuration problem are presented as open issues. This demonstrates the usefulness of the existence of a proper terminology and theory of the control-feedback organization problem and its extension and connection to design of sensors and actuators location. As an example the architecture generating property of the LQR metric is used to derive advanced high performance architecture for motion control applications.


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