A two-layer architecture for economically optimal process control and operation |
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Authors: | Lynn Wü rth Ralf Hannemann,Wolfgang Marquardt |
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Affiliation: | AVT - Lehrstuhl für Prozesstechnik, RWTH Aachen University, D-52056 Aachen, Germany |
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Abstract: | A two-layer architecture for dynamic real-time optimization (or nonlinear modelpredictive control (NMPC) with an economic objective) is presented, where the solution of the dynamic optimization problem is computed on two time-scales. On the upper layer, a rigorous optimization problem is solved with an economic objective function at a slow time-scale, which captures slow trends in process uncertainties. On the lower layer, a fast neighboring-extremal controller is tracking the trajectory in order to deal with fast disturbances acting on the process. Compared to a single-layer architecture, the two-layer architecture is able to address control systems with complex models leading to high computational load, since the rigorous optimization problem can be solved at a slower rate than the process sampling time. Furthermore, solving a new rigorous optimization problem is not necessary at each sampling time if the process has rather slow dynamics compared to the disturbance dynamics. The two-layer control strategy is illustrated with a simulated case study of an industrial polymerization process. |
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Keywords: | Dynamic real-time optimization Economic optimization Nonlinear model-predictive control Multi-layer architecture Neighboring-extremal control |
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