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IEEE Conference on Decision and Control

作者： Inga J. Wolf Lynn Wurth Wolfgang Marquardt Chair of AVT - Process Systems Engineering RWTH-Aachen University D-52056 Aachen Germany Bayer Technology Services 51373 Leverkusen Germany

ISBN: (纸本)9781612848006

We present a method to improve the performance of nonlinear model predictive control (NMPC) by compromising between the time delay caused by a computational algorithm and the accuracy of the resulting control law in order to achieve best possible closed-loop performance. The main feature of the method is an a-priori error approximation derived for the neighboring-extremal update (NEU) algorithm, a fast NMPC algorithm presented recently by the authors. The error estimate provides the deviation of the current control trajectory from the (unknown) optimal control trajectory. The a-priori error estimator is incorporated in an on-line decision making process which simultaneously decides on the quality of the computed controls and the computational delay. In particular, the optimal number of QP iterations in an SQP strategy is determined on each horizon prior to the computation of the current control move.

关键词： control law Fasting nonlinear model predictive control Current control trajectory closed-loop performance

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Editorial: 2010

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Journal of process Control 2010年第1期20卷 1-2页

作者： Marquardt, Wolfgang AVT - Process Systems Engineering RWTH Aachen University 52056 Aachen Germany

Wolfgang Marquardt, avt - process systems engineering, Germany, shares his views on the recent developments related to the Journal of process Control. The steady flow of accepted manuscripts has resulted in a significant back-log of papers by the end of 2008. The publisher has increased the page quota by 70% to a total number of 1768 pages for the 10 issues in the 2009 volume. A high quality review process is only possible if the editorial board is assisted by qualified referees who provide the Regional Editors with thorough and timely reviews which not only check the originality but also the relevance of a manuscript. Vinay Kariwala has been selected as the Best Referee for 2009. Frank Doyle, the Reviews Editor of the Journal, has been elected to become an IFAC Fellow in 2009. The High Impact Paper Award of IFAC will be given to acknowledge the author of a paper published on the broad areas of control theory and applications in one of the IFAC journals.

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Two-dimensional Iterative Learning Control for Batch processes With State Delay and Time-varying Uncertainties

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IFAC Proceedings Volumes 2011年第1期44卷 12255-12260页

作者： Tao Liu Ionut Muntean Youqing Wang AVT-Process Systems Engineering RWTH Aachen University Turmstrasse 46 Aachen Germany (Tel: +49 (0) 241 80-97024) Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania College of Information Science & Technology Beijing University of Chemical Technology P. R. China

Abstract Based on a two-dimensional (2D) system description of a batch process, a robust closed-loop iterative learning control (ILC) scheme is proposed for batch processes with time-varying uncertainties. An important merit is that the proposed ILC method can be used for on-line optimization against batch-to-batch process uncertainties to realize robust tracking of the setpoint trajectory in both the time (during a cycle) and batchwise (from cycle to cycle) directions. Only measured output errors of the current and previous cycles are used to design a synthetic ILC controller consisting of dynamic output feedback plus feedforward control. By introducing a comprehensive 2D difference Lyapunov function that can lead to monotonical state energy decrease in both the time and batchwise directions, sufficient conditions are established in terms of linear matrix inequality (LMI) constraints for holding robust stability of the closed-loop ILC system. By solving these LMI constraints, the ILC controller is explicitly formulated, together with an adjustable robust H infinity performance level. An illustrative example is given to demonstrate effectiveness and merits of the proposed ILC method.

关键词： Batch process Iterative learning control (ILC) Time delay Time-varying uncertainties Two-dimensional (2D) system Robust H infinity control performance

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An ontology-based environment for effective collaborative and concurrent process engineering

An ontology-based environment for effective collaborative an...

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IEEE International Conference on Industrial engineering and engineering Management

作者： A. Wiesner A. Saxena W. Marquardt AVT-Process Systems Engineering RWTH Aachen University Aachen Germany

ISBN: (纸本)9781424485017

Facing global competition in the chemical industry particular companies from high-wage countries have to cut development costs and time to market to be still profitable. Therefore, methods like concurrent and collaborative engineering are increasingly applied. However, these complex workflows require adequate software support to be efficient in face of heterogeneous software environments as typically encountered in most companies. Such software support does virtually not exist in industrial practice to date. In this paper, we propose a novel software prototype built on semantic technologies which is capable of providing such software support and thus helping to improve efficiency in process and plant engineering.

关键词： Software Collaboration Semantics Prototypes Ontologies XML Graphical user interfaces

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An extensible modeling language for the representation of work processes in the chemical and process industries

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Lecture Notes in Computer Science

作者： Hai, Ri Theißen, Manfred Marquardt, Wolfgang AVT-Process Systems Engineering RWTH Aachen University Templergraben 55 Aachen 52056 Germany

ISBN: (纸本)3642173217

Expressive models of the work processes performed in the chemical and process industries provide a basis for diverse applications like work process documentation, analysis, and enactment. In this contribution, we present a generic modeling language for different types of work processes to allow for their integrated representation in the life cycle of a chemical plant. Further, the generic language allows for extensions specific to certain types of work processes. For two important types-design and operational processes-such extensions have been elaborated. These extensions enable the adequate representation of the context of a work process that strongly depends on the process type: for instance, the specification of a chemical plant is a product of a design process, whereas the plant takes the role of a resource during an operational process. This contribution also briefly introduces a modeling tool developed by our group for applying the modeling language in industrial practice. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Modeling languages

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Integration of model-predictive scheduling, dynamic real-time optimization and output tracking for a wastewater treatment process

Integration of model-predictive scheduling, dynamic real-tim...

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作者： Elixmann, David Busch, Jan Marquardt, Wolfgang RWTH Aachen University AVT-Process Systems Engineering 52056 Aachen Germany Bayer Technology Services GmbH 51368 Leverkusen Germany

ISBN: (纸本)9783902661708

A hierarchical control architecture for the integration of scheduling decisions, dynamic real-time optimization and tracking control is proposed. It is shown how the discretecontinuous problem of simultaneous scheduling and trajectory optimization on a receding horizon can be integrated within the upper control layer of a two-layer architecture. On the upper layer, the optimal plant strategy defined by a sequence of control objectives and optimal control moves is computed on a long time horizon. The lower control layer consists of a state observer and a fast-acting tracking controller which operates on a short time horizon. The properties of this architecture are illustrated by a case study in which a wastewater treatment plant is operated under the influence of external disturbances. Conflicting operational objectives may be valid, depending on the state of the plant and the expected disturbances. By calculating an optimal sequence of operational strategies and control moves on the receding horizon, economically optimal operation of the plant can be achieved. © 2010 IFAC.

关键词： Wastewater treatment

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Nonlinear distributed dynamic optimization based on first order sensitivities

Nonlinear distributed dynamic optimization based on first or...

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作者： Scheu, Holger Busch, Jan Marquardt, Wolfgang AVT - Process Systems Engineering Department of Mechanical Engineering RWTH Aachen University 52056 Aachen Germany Bayer Technology Services GmbH 51368 Leverkusen Germany

ISBN: (纸本)9781424474264

A method for the distributed optimization of dynamic nonlinear systems is presented. The method is based on partial goal-interaction operators [1]. Partial goal-interaction operators provide gradient information of non-local objective functions. Hence, these operators are used to modify the objective functions of infimal optimization problems in order to take non-local information into account and to achieve an optimum for the overall objective, i.e. the objective of the entire process. However, that optimum is achieved by a decentralized but cooperative optimization, while communication between the different infimal optimization units is limited. An important part of the method is the decentralized calculation of sensitivities. The method is applied to a nonlinear differential-algebraic simple-toy system and compared to the dual-optimization method [2] as well as to the solutions of fully centralized and fully decentralized optimizations. © 2010 AACC.

关键词： Toys

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Integration of model-predictive scheduling, dynamic real-time optimization and output tracking for a wastewater treatment process

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IFAC Proceedings Volumes 2010年第6期43卷 90-95页

作者： David Elixmann Jan Busch Wolfgang Marquardt AVT-Process Systems Engineering RWTH Aachen University 52056 Aachen Germany

A hierarchical control architecture for the integration of scheduling decisions, dynamic real-time optimization and tracking control is proposed. It is shown how the discrete-continuous problem of simultaneous scheduling and trajectory optimization on a receding horizon can be integrated within the upper control layer of a two-layer architecture. On the upper layer, the optimal plant strategy defined by a sequence of control objectives and optimal control moves is computed on a long time horizon. The lower control layer consists of a state observer and a fast-acting tracking controller which operates on a short time horizon. The properties of this architecture are illustrated by a case study in which a wastewater treatment plant is operated under the influence of external disturbances. Conflicting operational objectives may be valid, depending on the state of the plant and the expected disturbances. By calculating an optimal sequence of operational strategies and control moves on the receding horizon, economically optimal operation of the plant can be achieved.

关键词： hierarchical control scheduling model predictive control optimal control state estimation wastewater treatment dynamic real-time optimization membrane bioreactor

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Enhanced IMC-based load disturbance rejection design for integrating processes with slow dynamics

Enhanced IMC-based load disturbance rejection design for int...

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9th International Symposium on Dynamics and Control of process systems, DYCOPS 2010

作者： Tao, Liu Gao, Furong Department of Chemical and Biomolecular Engineering Hong Kong University of Science and Technology Kowloon Hong Kong Hong Kong AVT-Process Systems Engineering RWTH Aachen University Turmstrasse 46 Aachen Germany

ISBN: (纸本)9783902661692

By revealing the deficiency of existing internal model control (IMC) based methods for load disturbance rejection for integrating processes with slow dynamics, a modified IMC design is proposed to deal with step or ramp type load disturbance as often encountered in practice. The controller parametrization is based on a two-degree-of-freedom (2DOF) control structure which allows for independent regulation of load disturbance rejection from the setpoint tracking. Analytical controller formulae are given based on classification of the ways by which such load disturbance seeps into the process. It is an obvious merit that there is only a single adjustable parameter in the controller design, which in essence corresponds to the time constant of the closed-loop transfer function for load disturbance rejection, and can be monotonically tuned to meet a trade-off between disturbance rejection performance and closed-loop robust stability. Robust tuning constraints are given correspondingly to accommodate for process uncertainties. An illustrative example is given to show the effectiveness and merits of the proposed method. © 2009 IFAC.

关键词： Controllers

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Enhanced IMC-based Load Disturbance Rejection Design for Integrating processes with Slow Dynamics

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IFAC Proceedings Volumes 2010年第5期43卷 67-72页

作者： Tao liu Furong Gao Department of Chemical & Biomolecular Engineering Hong Kong University of Science & Technology Kowloon Hong Kong (Tel: 852-2358-7139) AVT-Process Systems Engineering RWTH Aachen University Turmstrasse 46 Aachen Germany

关键词： Integrating process internal model control (IMC) load disturbance rejection slow dynamics asymptotic tracking robust stability

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