DocumentCode
2858047
Title
A Robust-Gain-Scheduled methodology for process parameter design and control with application to a carbonated beverage filling process
Author
Saif, Abdul-Wahid A. ; Akram, Muneeb A.
Author_Institution
Syst. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
1670
Lastpage
1674
Abstract
Proper selection of control parameters is critically important since it has a large impact on the end product and enables keeping the operation run within the specified limits. It also helps to maximize profitability, to ensure quality and safety. In this paper, we will develop a Robust Gain-Scheduled (RGS) methodology that combines between the uses of: robust design to determine the optimal value of process parameters so that the controller maintains the process on target with low variability while keeping the performance robust against the external factors, and gain scheduling to modify the control parameters depending on the state of the system to maintain its stability. An example for carbonated beverage filling process is also presented.
Keywords
beverage industry; filling; optimal control; process control; process design; product quality; production control; robust control; safety; scheduling; RGS methodology; carbonated beverage filling process; control parameters; end product; gain scheduling; optimal value; process controller; process parameter control; process parameter design; process parameters; profitability; quality; robust design; robust-gain-scheduled methodology; safety; stability; Educational institutions; Filling; Process control; Robustness; Signal to noise ratio; Tuning; PID control; Robust design; controller tuning; gain scheduling; quality loss function; signal-to- noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6118200
Filename
6118200
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