Title :
A methodology for optimal sensor selection in chemical processes
Author :
Muske, Kenneth R. ; Georgakis, Christos
Author_Institution :
Dept. of Chem. Eng., Villanova Univ., PA, USA
Abstract :
A methodology for the optimal selection of measured variables for chemical processes is presented. This methodology determines the Pareto optimal trade-off between the process information that can be obtained and the sensor cost for the selected process measurements. The approach is demonstrated using a simulated CSTR process.
Keywords :
chemical technology; covariance matrices; linear systems; observability; process control; process monitoring; sensors; state-space methods; stochastic systems; Pareto optimal trade-off; chemical processes; model-based approach; optimal sensor selection; process information; process measurements; sensor cost; simulated CSTR process; Chemical engineering; Chemical processes; Chemical sensors; Costs; Covariance matrix; Linear systems; Riccati equations; Sensor systems; State estimation; Uncertainty;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024603
