DocumentCode :
646111
Title :
Optimal selection of sensor network and backed-off operating point based on economics
Author :
Jan, N.M. ; Skogestad, Sigurd ; Narasimhan, Sriram
Author_Institution :
Dept. of Chem. Eng., Indian Inst. of Technol. Madras, Chennai, India
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
4472
Lastpage :
4477
Abstract :
This paper discusses the simultaneous selection of measurements and economic backed off operating point when the nominal optimal operating point is constrained. However, operation at this point becomes infeasible due to uncertainties. In this regard, we recently proposed an optimization formulation that determines the backed-off point to ensure feasibility assuming accurate measurement of the states is available and disturbance as the only source of uncertainty. In the present work, we extend the formulation to partial state information case and also determine the optimal set of measurements for economical operation. The formulation also finds a suitable multivariable controller to achieve economic benefits. The final formulation is a mixed integer non-linear program. Here, we present a branch and bound type solution such that a two stage iterative problem is solved at each branching step. Finally, the proposed approach is demonstrated in an evaporator system.
Keywords :
chemical industry; chemical sensors; integer programming; multivariable control systems; nonlinear programming; process control; tree searching; backed-off operating point; branch and bound type solution; economic benefits; evaporator system; mixed integer nonlinear programming; multivariable controller; nominal optimal operating point; optimal measurement set; optimal sensor network selection; partial state information; state measurement; Economics; Loss measurement; Measurement errors; Measurement uncertainty; Optimization; Steady-state; Uncertainty; Process control; convex optimization; multivariable control; sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669516
Link To Document :
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