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IEEE Conference Record of 2004 Annual Pulp and Paper Industry Technical Conference

作者： West, Daniel D. Honaker, Darren Barry, Keith Corporate Process Control Sappi Fine Paper North America Box 1600 RR 3 Skowhegan ME 04976 United States TMEIC-GE Automation Systems 1501 Roanoke Blvd Salem VA 24153 United States GE Engineering Services One Community Drive Augusta ME 04330 United States

This paper will review the successful master controller revamp of Sappi Fine Paper North America's #3 Paper Machine at its Skowhegan, Maine mill. The rebuild project included upgrading the press section and increasing the speed of the paper machine by 500 FPM (150 MPM). The existing original drive system had been installed with sectional AC drives. The original drive system was becoming more difficult to maintain due to unavailability of parts and the out-of-date diagnostic system. The revamp involved the re-use of 76 existing drives and the installation of 8 new AC sectional drives. A new master controller was added with an enhanced diagnostic HMI. The new master controller architecture communicated with, controlled and diagnosed the old drives as well as the new drives. The unique combination of existing drives and new drives formed a cohesive system with all of the advantages of a new drive system. A staged installation was performed to reduce the outage time impact. The paper machine rebuild project was completed in March 2003 and has met the expectations of a successful revamp.

关键词： Papermaking machinery

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A unique paper machine drive system revamp

A unique paper machine drive system revamp

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IEEE Pulp, Paper & Forest Industries Conference, (PPFIC)

作者： D.D. West D. Honaker K. Barry Corporate Process Control Sappi Fine Paper North America Skowhegan ME USA TMEIC-GE Automation Systems Salem VA USA GE Engineering Services Augusta ME USA

This paper reviews the successful master controller revamp of Sappi Fine Paper North America's #3 paper machine at its Skowhegan, Maine mill. The rebuild project included upgrading the press section and increasing the speed of the paper machine by 500 FPM (150 MPM). The existing original drive system had been installed with sectional AC drives. The original drive system was becoming more difficult to maintain due to unavailability of parts and the out-of-date diagnostic system. The revamp involved the re-use of 76 existing drives and the installation of 8 new AC sectional drives. A new master controller was added with an enhanced diagnostic HMI. The new master controller architecture communicated with, controlled and diagnosed the old drives as well as the new drives. The unique combination of existing drives and new drives formed a cohesive system with all of the advantages of a new drive system. A staged installation was performed to reduce the outage time impact. The paper machine rebuild project was completed in March 2003 and has met the expectations of a successful revamp.

关键词： Paper making machines Milling machines Systems engineering and theory USA Councils control systems Communication system control engineering management process control North America automation

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Nonlinear process identification and predictive control by multiparameter models

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IFAC Proceedings Volumes 2004年第13期37卷 1319-1324页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Chemical Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Koln Betzdorfer Str. 2. Germany fax: +49-22J-8275-2836 Department of Automation and Applied Injormatics Budapest University of Technology and Economics H-1111 Budapest Goldmann Gy. tér 3. Hungary fax: +36-1-463-2871

According to the multi-model approach a nonlinear dynamical process is approximated in different working points by local valid linear models. The global valid model output is calculated as the weighted sum of the sub-model outputs. The parameters of the Gaussian weighting function can be chosen by optimization. The computation time can be reduced if instead of the model outputs the parameters (for example static gain and time constant) of the local valid models are merged. The global valid nonlinear model can be used e.g., for model based predictive control. The new, multi-parameter method is illustrated by a heat exchanger example.

关键词： process identification nonlinear models multi-model predictive control heat exchanger

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The asset management box

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Computing and control engineering Journal 2003年第1期14卷 34-39页

作者： Müller, J. Uecker, F. Wollschlaeger, M. Diedrich, Ch. Epple, U. Dept. of Process Control Engineering RWTH Aachen Aachen Germany IFAK Institute of Automation and Commun. Magdeburg Germany

In the process industry, engineering functions for the administration and optimization of devices are gaining importance in comparison with process control functions. Thus, the term 'asset optimization' is often used to describe techniques that exploit the full potential of plant assets. This applies in particular to field devices used in production processes. This paper presents the asset management box (AMBOX) which is an open, configuration-free and manufacturer-independent access to field device functionality for the Profibus-PA Fieldbus, creating an additional information channel between field and plant control level.

关键词： Data communication systems

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Model-based fault detection and diagnosis for hydraulic braking systems 5

Model-based fault detection and diagnosis for hydraulic brak...

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5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Straky, Harald Muenchhof, Marco Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Georg-Str. 4 DarmstadtD-64283 Germany

This paper describes fault detection and diagnosis techniques for a hydraulic passenger car braking system. First, a model of the hydraulic braking system is derived in state space representation. This model is subsequentlyemployed for fault detection and diagnosis. Fault detection is based on the calculation of the loss volume, i.e. the amount of brake fluid consumed due to the presence of a fault. The type of fault is determined by means of a correlation analysis approach. Furthermore, the location of the fault can also be determined. This is accomplished by analyzing the master brake cylinder pressure signals. The paper also presents numerical results of data recorded at a braking system testbed which illustrates the feasibility of the proposed approaches. © 2003 International Federation of Automatic control.

关键词： Fault detection

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Model-based supervision of a vacuum brake booster 5

Model-based supervision of a vacuum brake booster

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5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Muenchhof, Marco Straky, Harald Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Gerog-Str. 4 DarmstadtD-64283 Germany

This paper presents the design of a model-based supervision system for the vacuum brake booster of current hydraulic passenger car braking systems. A model is derived, which allows to calculate the pressure in the vacuum chamber and the working chamber of the vacuum brake booster. Based on this model, a real-time supervision system has been implemented. The fidelity of the model has been evaluated by testing the model against experimental data from a braking system test bed. The functioning of the model-based supervision system has also been probed with measurements taken at the aforementioned testbed. © 2003 International Federation of Automatic control.

关键词： Brakes

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Long-range optimal model and multi-step-ahead prediction identification for predictive control 13

Long-range optimal model and multi-step-ahead prediction ide...

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13th IFAC Symposium on System Identification, SYSID 2003

作者： Haber, R. Schmitz, U. Bars, R. Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KölnD-50679 Germany Department of Automation and Applied Informatics Control Research Group Hungarian Academy of Sciences Budapest University of Technology and Economics Hungary

Long-range optimal prediction algorithms use the predicted output for several steps ahead. The prediction based on traditionally estimated model parameters does not result in an optimal prediction if the measurements are noisy or/and model structure differs from real process structure. In this paper two different identification schemes are presented and compared: long-range predictive single-model identification and simultaneous multi-step-ahead prediction identification. It is shown that the first method is easier to realize but the second one leads to more accurate results. Both methods are derived for a first-order model in details. Simulation runs and a level control example illustrate the algorithms presented. © 2003 International Federation of Automatic control.

关键词： Parameter estimation

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Evaluation of modeling notations for basic software engineering in process control

Evaluation of modeling notations for basic software engineer...

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Annual Conference of Industrial Electronics Society

作者： B. Vogel-Heuser D. Friedrich E.H. Bristol Automation and process control engineering University of Wuppertal Wuppertal Germany Foxboro USA

process engineers and process control engineers need to discuss the functionality of a plant in an early phase of a project. A "language" to communicate between these different skilled engineers is necessary, which is based on the requirements of the process itself. The quality of the notion is strongly depending on an appropriate modeling concept for the process characteristics. The use of ICL (idiomatic control language) and UML (unified modeling language) will be compared and evaluated for modeling in basic engineering. It addresses to process engineers, process control engineers and technicians. The model should be used for code generation for PLC or DCS systems.

关键词： Software engineering process control Distributed control IEC standards automation Programmable control Unified modeling language Manufacturing industries Open loop systems Costs

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An new evolutionary multi-objective optimization algorithm

An new evolutionary multi-objective optimization algorithm

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2003 Congress on Evolutionary Computation, CEC 2003

作者： Mu, Sheng-Jing Su, Hong-Ye Chu, Jian Wang, Yue-Xuan Nat. Lab. of Ind. Control Technol. Zhejiang Univ. Institute of Advanced Process Control Hangzhou 310027 China National CIMS Engineering Research Center Department of Automation Tsinghua University Beiiing 100084 China

ISBN: (纸本)0780378040

We introduce a new, simple and efficient evolutionary algorithm to multiobjective optimization problem, which based on neighborhood and archived operation (NAGA). The innovations contain two main parts: neighborhood identify procedure to obtain Pareto optimal solutions from the population and neighborhood crowding procedure to maintain the diversity of Pareto optimal solutions previously found. The neighborhood identify procedure is composed of two steps, first to identify the locally nondominated solutions from the population and then to obtain the global nondominated solutions among the locally solutions. The neighborhood crowding is introduced to maintain a widely distributed set of Pareto solutions along the Pareto optimal front, which through implementing a comparison among the neighborhood bounds of new identified Pareto solutions and those of solutions in the archive. The winners, which are not in any ranges of the solutions in the archive, will be copied to the archive. A well-tuned fitness assignment method is structured to guide the population converging to the true Pareto optimal front. This method is pragmatic compromise between the computational simplicity and efficiency. Four nicely balanced test problems are provided to check the performance of the approach. © 2003 IEEE.

关键词： Evolutionary algorithms

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Nonlinear process identification and predictive control by the weighted sum of multi-model outputs 2

Nonlinear process identification and predictive control by t...

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2nd IFAC Conference on control Systems Design, CSD 2003

作者： Schmitz, U. Haber, R. Bars, R. Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KolnD-50679 Germany Department of Automation and Applied Lnformatics Budapest University of Technology and Economics Goldmann Gyter 3 BudapestH-1111 Hungary

Most industrial processes are nonlinear. In such a case only a nonlinear model valid for the whole working area can ensure a good controller design. The nonlinear process is approximated by a multi-model consisting of the intelligent combination of some linear sub-models. As a very practical way the following identification strategy was used: Independent model parameter estimation in the different working points and the calculation of the global valid model output as the weighted sum of the sub-models. As a weighting function the Gaussian function is used. The parameters of the Gaussian function were chosen either without or with optimization of the identification cost function. The global valid nonlinear model was used for model based predictive control. A heat exchanger example illustrates the method. © 2003 IFAC.

关键词： Heat exchangers

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