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arXiv 2024年

作者： Bubel, Martin Schmid, Jochen Carmesin, Maximilian Kozachynskyi, Volodymyr Esche, Erik Bortz, Michael Department of Optimization Fraunhofer Institute for Industrial Mathematics Fraunhofer-Platz 1 KaiserslauternD-67663 Germany Process Dynamics and Operations Group Technische Universität Berlin Straße des 17. Juni 135 BerlinD-10623 Germany

Calibrating model parameters to measured data by minimizing loss functions is an important step in obtaining realistic predictions from model-based approaches, e.g., for process optimization. This is applicable to both knowledge-driven and data-driven model setups. Due to measurement errors, the calibrated model parameters also carry uncertainty. In this contribution, we use cubature formulas based on sparse grids to calculate the variance of the regression results. The number of cubature points is close to the theoretical minimum required for a given level of exactness. We present exact benchmark results, which we also compare to other cubatures. This scheme is then applied to estimate the prediction uncertainty of the NRTL model, calibrated to observations from different experimental designs. © 2024, CC BY.

关键词： Prediction models

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Maximum-likelihood extremum seeking control of microalgae cultures

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IFAC-PapersOnLine 2021年第3期54卷 336-341页

作者： Laurent Dewasme Alain Vande Wouwer Christian Gabin Feudjio Letchindjio Afaq Ahmad Sebastian Engell Systems Estimation Control and Optimization (SECO) University of Mons (UMONS) Belgium Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering TU Dortmund University Germany

This paper proposes a model-free extremum seeking control (ESC) approach to optimize the productivity of continuous cultures of microalgae, considering the dilution rate and the light intensity as manipulated variables, and the biomass concentration as single measurement. The resulting two-input single-output optimization problem is first solved using a recursive least-squares strategy based on the representation of the process by a Hammerstein block-oriented model. In order to face the presence of noise on the regressor variables (input and output signals), the problem is then reformulated as a maximum-likelihood estimation problem, which is solved on a moving horizon. Simulation results demonstrate the method performance.

关键词： real-time optimization optimal control parameter estimation least-squares biotechnology

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Efficient robust economic nonlinear model predictive control of an industrial batch reactor 19

Efficient robust economic nonlinear model predictive control...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Lucia, Sergio Andersson, Joel A.E. Brandt, Heiko Bouaswaig, Ala Diehl, Moritz Engell, Sebastian Process Dynamics and Operations Group TU Dortmund Dortmund44227 Germany OPTEC Optimization in Engineering Center Electrical Engineering Department ESAT-STADIUS KU Leuven Leuven3001 Belgium BASF SE Ludwigshafen67056 Germany

ISBN: (纸本)9783902823625

In this paper we present a systematic and efficient approach to deal with uncertainty in Nonlinear Model Predictive Control (NMPC). The main idea of the approach is to represent the NMPC setting as a real-time decision problem under uncertainty that is formulated as a multi-stage stochastic problem with recourse, based on a description of the uncertainty by a scenario tree. This formulation explicitly takes into account the fact that new information will be available in the future and thus reduces the conservativeness compared to open-loop worst-case approaches. We show that the proposed multistage NMPC formulation can deal with significant plant-model mismatch as it is usually encountered in the process industry and still satisfies tight constraints for the different values of the uncertain parameters, in contrast to standard NMPC. The use of an economic cost function leads to a superior performance compared to the standard tracking formulation. The potential of the approach is demonstrated for an industrial case study provided by BASF SE in the context of the European Project EMBOCON. The numerical solution of the resulting large optimization problems is implemented using the optimization framework CasADi. © IFAC.

关键词： Industrial economics

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Efficient Robust Economic Nonlinear Model Predictive Control of an Industrial Batch Reactor

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IFAC Proceedings Volumes 2014年第3期47卷 11093-11098页

作者： Sergio Lucia Joel A.E. Andersson Heiko Brandt Ala Bouaswaig Moritz Diehl Sebastian Engell Process Dynamics and Operations Group TU Dortmund 44227 Dortmund Germany OPTEC Optimization in Engineering Center Electrical Engineering Department ESAT-STADIUS KU Leuven 3001 Leuven Belgium BASF SE 67056 Ludwigshafen Germany

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An innovative scheduling coordination method for improved productivity and energy efficiency of a large-scale integrated steel plant

An innovative scheduling coordination method for improved pr...

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2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012

作者： Xu, Chaojun Sand, Guido Harjunkoski, Iiro Engell, Sebastian Process and Production Optimization ABB AG Corporate Research Center Germany Wallstadter Str. 59 68526 Ladenburg Germany Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Str. 70 44227 Dortmund Germany

ISBN: (纸本)9783902823120

Energy efficiency will play an important role in improving the heavy industry's environmental and economic performance. In this work, an innovative scheduling coordination method to coordinate two consecutive production sections in an integrated steel plant - melt shop and hot rolling mill - is discussed. Between the two sections a slab yard acts as a buffer for intermediate products - slabs. Planning and scheduling of the two sections are currently solved independently by two industrial optimization solutions, observing complex production rules and different objectives. The proposed coordination method reuses the existing optimization modules and minimizes the storage time in the slab yard. Furthermore, the coordinated schedule enables some slabs from the melt shop to be charged directly into the reheating furnace of the hot rolling mill without losing considerable thermal energy (hot charging). The challenges and the approaches to coordinate two industrial schedulers incorporating several optimization steps, for instance mixed integer linear programming (MILP) and heuristics are presented. The coordination approach is validated by testing it with real production data from a real life steel plant and the potential to save energy and reduce production time is demonstrated. © 2012 IFAC.

关键词： Hot rolling

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An innovative scheduling coordination method for improved productivity and energy efficiency of a large-scale integrated steel plant

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IFAC Proceedings Volumes 2012年第23期45卷 250-255页

作者： Chaojun Xu Guido Sand Iiro Harjunkoski Sebastian Engell Process and Production Optimization ABB AG Corporate Research Center Germany Wallstadter Str. 59 68526 Ladenburg Germany (Tel: +49(0)6203-716044 e-mail: chaojun.xu@*** guido.sand@*** iiro.harjunkoski@***) Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Str. 70 44227 Dortmund Germany (e-mail: s.engell@bci.tu-dortmund.de)

Energy efficiency will play an important role in improving the heavy industry's environmental and economic performance. In this work, an innovative scheduling coordination method to coordinate two consecutive production sections in an integrated steel plant - melt shop and hot rolling mill - is discussed. Between the two sections a slab yard acts as a buffer for intermediate products – slabs. Planning and scheduling of the two sections are currently solved independently by two industrial optimization solutions, observing complex production rules and different objectives. The proposed coordination method reuses the existing optimization modules and minimizes the storage time in the slab yard. Furthermore, the coordinated schedule enables some slabs from the melt shop to be charged directly into the reheating furnace of the hot rolling mill without losing considerable thermal energy (hot charging). The challenges and the approaches to coordinate two industrial schedulers incorporating several optimization steps, for instance mixed integer linear programming (MILP) and heuristics are presented. The coordination approach is validated by testing it with real production data from a real life steel plant and the potential to save energy and reduce production time is demonstrated.

关键词： Production and distribution planning industrial applications steel making and continuous casting hot rolling hot charging plant-wide planning and scheduling MILP scheduling coordination

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Coordination of distributed production planning and scheduling systems

Coordination of distributed production planning and scheduli...

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作者： Xu, Chaojun Sand, Guido Engell, Sebastian Process and Production Optimization ABB AG Corporate Research Center Germany Wallstadter Str. 59 68526 Ladenburg Germany Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Str. 70 44227 Dortmund Germany

ISBN: (纸本)9783902661814

In this paper, the requirements of industrial solutions to plant-wide planning and scheduling problems are discussed. The state-of-the-art algorithms for the coordination of local schedulers are reviewed and a new heuristic method is presented that utilizes the existing distributed scheduling algorithms by considering the coupled due dates and release dates in the distributed schedulers and by penalizing the slacks between the individual optimized schedules and the linking variables iteratively. The performance of the proposed coordination algorithm is evaluated for a prototypical distributed production scheduling problem which consists of two MILP scheduling models. The numerical results show that the proposed coordination scheme is superior compared to fully decentralized and to centralized scheduling algorithms and to other cooperative scheduling methods with respect to solution quality and computational effort. © 2010 IFAC.

关键词： Heuristic methods

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Coordination of Distributed Production Planning and Scheduling Systems

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IFAC Proceedings Volumes 2010年第17期43卷 126-131页

作者： Chaojun Xu Guido Sand Sebastian Engell Process and Production Optimization ABB AG Corporate Research Center Germany Wallstadter Str. 59 68526 Ladenburg Germany (Tel: +49(0)6203-716044) Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Str. 70 44227 Dortmund Germany

关键词： Optimisation Methods and Simulation Tools Industrial Applications Supply Chain Integration and Management Issues Plant-wide Planning and Scheduling MILP Coordination

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A Study of a Gun-Turret Assembly in an Armored Tank using Model Predictive Control

A Study of a Gun-Turret Assembly in an Armored Tank using Mo...

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2009 American Control Conference (ACC 2009)

作者： Gautam Kumar Pradeep Y. Tiwari Vincent Marcopoli Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Process Dynamics and Optimization group Bayer Technology Services Americas 8500 W Bay Rd Baytown TX 77523 U.S.A. General Dynamics Land Systems Sterling Hts. MI 48310 U.S.A.

ISBN: (纸本)9781424445233

Operation of the gun/turret system in a military tank is limited by several constraints some of which are posed by obstacles existing on the vehicle's own platform. These mechanical constraints acting as hard constraints can cause serious damage to the whole assembly if violated. A control strategy developed for such a system must avoid possible collision of the gun/turret system with these obstacles. We propose to use a MPC based control strategy, due to its inherent ability to handle constraints, for the deck clearance problem and evaluate its performance under operating conditions for a linear model of the tank. Matlab~R based MPCtoolbox is used to set up the MPC calculations for the gun/turret system. Simulations are performed to investigate and compare the performance of the controller under various deck constraint limits. It is shown that MPC is effective in addressing both the stabilization and deck clearance objectives.

关键词： Maximum Allowable Concentration control strategy Tanks belted distributed model predictive control nonlinear model predictive control Constraint Model predictive control Predictive control linear models Addressing assemblies Operating conditions vehicle Controllers

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