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Optimal selection of sensor network and backed-off operating point based on economics
Sridharakumar Narasimhan
Published in
2013
Pages: 4472 - 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. © 2013 EUCA.
About the journal
Journal2013 European Control Conference, ECC 2013
Open AccessNo
Concepts (16)
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    Accurate measurement
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    ECONOMICAL OPERATION
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    EVAPORATOR SYSTEMS
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    Multivariable control
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    Multivariable controller
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    Optimal operating point
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    OPTIMAL SET OF MEASUREMENTS
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    Optimization formulations
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    Convex optimization
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    Economics
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    Linear programming
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    Multivariable control systems
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    Optimization
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    Process control
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    Sensor networks
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    Uncertainty analysis