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American control Conference (ACC)

作者： F.D. Vargas-Villamil D.E. Rivera Department of Chemical Bio and Materials Engineering Control Systems Engineering Laboratory and Manufacturing Institute Arizona State University Tempe AZ USA

This paper proposes a formulation for optimizing long-term production and machine allocation for semiconductor fabrication facilities. Specifically, the concept of model predictive control (MPC) is extended to the scheduling of reentrant manufacturing lines commonly seen in semiconductor manufacturing problems. A state space formulation of MPC is used to obtain this "combined" long-term scheduler and controller system. An l/sub 1/-norm finite moving horizon cost function is used to obtain a control law which is implemented as a linear programming problem (LP).

关键词： Job shop scheduling Virtual manufacturing Semiconductor device manufacture Production Fabrication Predictive models Predictive control State-space methods control systems Cost function

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High-Order ARX Estimation and its Application to Decentralized, Decoupled and Full Multivariable control

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IFAC Proceedings Volumes 1997年第9期30卷 559-564页

作者： Kyoung S. Jun Daniel E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Manufacturing Institute Arizona State University Tempe Arizona 85287-6006 Phone: (602)-965-9476 e-mail:

This paper takes advantage of the favorable asymptotic properties of ARX estimators to develop an integrated methodology for identification and controller design for multivariable plants. Specifically, the ARX estimate serves as a suitable intermediate model for the design and analysis of MIMO control systems. Decentralized, decoupled, and full multivariable control (via MPC) applied to MIMO problems are presented as case studies.

关键词： system identification control-oriented modeling decentralized control model predictive control

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Grey Box Fault Detection in Heat Exchanger Networks

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IFAC Proceedings Volumes 1997年第18期30卷 191-196页

作者： E. Weyer K.M. Hangos Dept. of Chemical Engineering University of Queensland Brisbane QLD 4072 Australia Systems and Control Research Laboratory Computer and Automation Institute HAS H-1518 Budapest PO Box 63 Hungary

A grey box model-based method for fault diagnosis is proposed in this paper which is based on a first principle model of the process unit: a heat exchanger, and on a grey box model of the fault: the deterioration of the heat transfer surface by aging. Under normal operating conditions the heat transfer coefficient is constant or slowly decreasing due to a layer of settled material building up on the heat transfer surface, and we propose to use a recursive least squares estimator with forgetting factor to track the heat transfer coefficients during these stages. In old heat exchangers, big chunks of the settled material can break away from the surface causing the heat transfer coefficients to rise sharply. This fault is detected via detection of abrupt positive jump in the estimated heat transfer coefficients using a Hinkley detector

关键词： Fault diagnosis grey box modelling fault modelling identification

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Robust Classification of "Artificial Nose" Sensor Data by Artificial Neural Networks

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IFAC Proceedings Volumes 1997年第9期30卷 347-351页

作者： Z. Boger L. Ratton T.A. Kunt T.J. Mc Avoy R.E. Cavicchi S. Semancik Consultant Intelligent Process Control Systems PO Box 15053 Be’er-Sheva 84003 Israel Institute for System Research Department of Chemical Engineering University of Maryland College Park MD 20742 Chemical Science and Technology Laboratory National Institute of Standards and Technology Gaithersburg MD 20899

Response data from a novel micro-hotplate gas sensor were used to test a robust classification technique based on an artificial neural network. Four different compounds were identified even when the sensor signal was corrupted by high levels of noise and drift. Additional verification rules in doubtful cases were provided by examining unique binary patterns of outputs of the hidden layer neurons. Similarities to proposed models of the human nose are noted.

关键词： Micro-hotplate gas sensors Artificial neural networks Classification rules Artificial nose

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Acoustic wave sensor for real-time monitoring of volatile organic compounds

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NAVAL ENGINEERS JOURNAL 1997年第1期109卷 27-30页

作者： Modell, DJ Donald J. Modell:is a project manager and senior technical consultant with Smith Environmental Technologies Corporation (BCM Engineers Inc.). Mr. Modell has extensive experience in process control systems (PLCs PCs distributed control systems and SCADA systems) and sensors used in the environmental and remedial engineering processes and operations. Mr. Modell has further experience with software and hardware configuration programming implementation and total quality management techniques. He has received master's degrees in environmental engineering and chemical engineering from The Johns Hopkins University and Case Western Reserve University. Mr. Modell also has an M.B.A. in finance from Case Western Reserve University. He is active in The American Industrial Hygiene Association the American Institute of Chemical Engineers the International Society of Measurement and Control the Sociely of American Military Engineers and is an officer in the National and Maryland Society of Professional Engineers. He serves as a director and advisor to the legdative board fm the Maryland Engineering Society Joint Council.

On-line real-time monitoring of marine and operational exhaust stacks and process streams can play a critical role in providing safe, environmentally sound operation of marine and industrial processes using volatile organic species. Monitoring systems are needed that are inexpensive and powerful to be effective. It has been demonstrated that two independent responses, wave velocity and wave attenuation can be obtained from surface acoustic wave devices coated with viscoelastic polymers. This output technique enables identification and concentration determination of isolated species with a single sensor. This paper discusses the development of the sensor devices and the basis of portable acoustic wave sensor systems (which are being used) to monitor volatile organic compounds from marine and industrial chemical processes. Furthermore, on-line monitoring of spray cleaning processes has been effective in quantifying how emissions can be decreased based on substituting solvents, optimizing worker protocols, and utilizing new spray nozzle configurations.

关键词： Sensors

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Experimental investigation of surfactant-enhanced dissolution of residual NAPL in saturated soil

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GROUND WATER MONITORING AND REMEDIATION 1997年第4期17卷 89-98页

作者： Chevalier, LR Masten, SJ Wallace, RB Wiggert, DC Dr. Susan J. Mastenis an associate professor of environmental engineering in the Department of Civil and Environmental Engineering at Michigan State University (East Lansing MI 48824–1326 517/353-8539). She received a B.S. in biochemistry from Fairleigh Dickinson University an M.S.E. in environmental engineering from West Virginia University and a Ph.D. in environmental engineering from Harvard University. Prior to locating at MSU Dr. Masten conducted research at EAWAG-ETH Zurich Switzerland at the University of Melbourne Melbourne Australia and at the R.S. Kerr U.S. EPA Laboratory in Ada Oklahoma. Her research is focused on using chemical oxidation processes to remediate ground water and soils that are contaminated with organic chemicals. She also has extensive experience in the area of analytical chemistry. Professor David C. Wiggert'scurrent research interests in the area of environmental fluid mechanics are associated with ground water remediation. He is involved in experimental testing field studies and modeling of bioremediation of contaminants in ground water and in the application of innovative techniques to enhance the delivery of chemicals microbes and nutrients into contaminated soils to enhance in situ remediation. Recently completed projects dealt with the formation and performance of frozen containment barriers and the natural remediation properties of an industrial ground water recharge pond. Past research includes analysis of ground water flow in relation to water quality improvement and hydrologic and water quality studies of small watersheds. He is also actively researching fluid transients associated with free-surface flows and with pipeline systems specific topics include fluid-structure interaction and uncertainty analysis. Professor Roger B. Wallace'sresearch involves the mechanics of fluids in porous media. Current research focuses on contaminant transport and remediation in ground water systems including the role of nonaqueous phase liquids such as gasoline. This includes ex

Nonaqueous phase liquid (NAPL) is a longterm source of ground water contamination as the pollutant slowly partitions into the air and water phases. The objective of this work was to study the efficacy of aqueous surfactant solution to enhance the dissolution of a residual NAPL below the capillary fringe, hence reducing the time needed for aquifer restoration. An analytical technique was developed to measure the concentration of NAPL in a nonionic surfactant. Soil column experiments simulated conditions in the saturated soil where a NAPL may become trapped as a discontinuous immobile phase. Experimental results indicate that dissolution was a rate-limited process, approaching equilibrium concentrations after 24 hours. The relative permeability of the aqueous phase initially decreased as surfactant was injected, but increased over time as the saturation of residual NAPL was reduced through mass transfer into the surfactant-enhanced aqueous phase. These findings suggest that enhancing the aqueous phase with a nonionic surfactant may significantly enhance the in situ recovery or residual NAPL.

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A simulation model for putative neuromodulatory mechanisms in local cardiac control

A simulation model for putative neuromodulatory mechanisms i...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Z. Cheng H.S. Kwatra J.S. Schwaber T.L. Powley F.J. Doyle Sch. of Chem. Eng. Purdue Univ. West Lafayette IN USA School of Chemical Engineering Purdue University West Lafayette IN USA Bio-control Systems Group E. I. du Pont de Nemours슠and슠Company Inc. Wilmington DE USA Department of Psychological Sciences Purdue University West Lafayette IN USA

Traditionally, arterial blood pressure, heart rate, atrial-ventricular conduction and myocardial contractility have been considered to be solely governed by the central nervous system. This convention is now challenged by the recent converging evidence that cardiac ganglia around the heart may have complex integrative function. Using neuronal tracing and laser confocal microscopy, we have mapped the local neural circuitry around the heart and proposed a local reflex loop. In order to study the functionality of this circuitry, we use a biophysical model to simulate the behavior of the proposed local reflex loop. The preliminary results show that this local cardiac reflex loop predicts behavior that is consistent with the Bainbridge reflex in the sense that venous infusion increases the heart rate without obvious change of the system blood pressure.

关键词： Microscopy Neurons Myocardium Arterial blood pressure Central nervous system Circuits Nerve fibers Heart rate Laser modes Blood pressure

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Hot methanol extraction for the analysis of volatile organic chemicals in subsurface core samples from Dover Air Force Base, Delaware

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GROUND WATER MONITORING AND REMEDIATION 1997年第1期17卷 104-121页

作者： Ball, WP Xia, G Durfee, DP Wilson, RD Brown, MJ Mackay, DM William P. Ball is an assistant professor in the Department of Geography and environmental engineering at Johns Hopkins University (313 Ames Hall 3400 N. Charles St. Baltimore MD 21218). His research interests are in the physical and chemical processes that control contaminant fate in aqueous systems both in the natural environment and in engineered processes of treatment and remediation. Recent work has included both laboratory and computer modeling studies related to contaminant fate and transport in subsurface environments. Ball holds M.S. and Ph.D. degrees in environmental engineering and science from Stanford University and a B.S. degree in civil engineering from the University of Virginia. He is a registered pro-fessional engineer in the state of Virginia. Guoshou Xia is a Ph.D. candidate at Johns Hopkins University He was previously a lecturer in the Department of Civil Engineering at Southeast University in China. He received his B.S. degree in chemistry from Hefei University and his M.S. degree in environmental engineering from East China University of Chemical Technology. His current research interests are in the area ofsubsurface contaminant transport with emphasis on better understanding the nature of organic contaminant interactions with subsurface solids. Donald P. Durfee received his M.S. degree in environmental engineering from Johns Hopkins University in 1993 and is currently a Ph.D. student at Johns Hopkins. He is studying contaminant fate and transport in the subsurface and is also interested in site characterization and remediation issues. Ryan D. Wilson is a research associate and Ph.D. student in the Department of Earth Sciences at the University of Waterloo Waterloo Ontario. His research interests include field and modeling studies of semipassive remediation technologies and the behavior of gaseous tracers. Wilson received his B.Sc. in geology from the University of Alberta in 1987 and his M.Sc. in earth sciences (hydrogeology) from the University of Waterloo in 1993. Michael J. Br

The evaluation of contaminant concentrations in ground water and soil is an essential aspect of most hazardous waste remedial investigations. This paper describes methods applied toward obtaining, preserving, and analyzing subsurface samples for the determination of VOC concentrations in the saturated region of an unconfined coastal plain aquifer at Dover Air Force Base (DAFB), Delaware. The described protocol involved headspace-free subsampling of cores, field preservation of subsamples in methanol, and overnight extraction of the VOCs at elevated temperature (70 degrees C). Methanol-extracted compounds were subsequently transferred to hexane and analyzed by gas chromatography. The method was found to achieve quantitative extraction from the aquifer sands in a single step, although extraction from fine-grained and more strongly sorbing aquitard samples required multiple methanol extractions to achieve comparable recovery. An extensive set of DAFB results is presented as an indication of how these methods can be applied toward characterizing field-scale contamination with a high degree of resolution and accuracy. These data have enabled a quantitative estimate of the contaminant distribution at this site and offer valuable insight into processes of contaminant migration into the underlying aquitard. In these regards, the methods used are believed to have provided much more accurate results than could have been obtained using more commonly applied techniques.

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Restricted Complexity Approximation of Nonlinear Processes Using a control-Relevant Approach

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IFAC Proceedings Volumes 1996年第1期29卷 6019-6024页

作者： Wei-Ming Ling Daniel E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ 85287-6006

A two-step nonlinear system identification method using restricted complexity models (RCM) is proposed. In the first step, a parsimonious yet full order Volterra model is identified using the orthogonal least squares method. In the second step, using a control relevant approach, the full order model is further reduced to a restricted complexity model which is more amenable to control design and analysis. The minimization problem in the model reduction step is posed such that it can be solved using general optimization routines. A corresponding two-step model validation procedure is implemented to ensure the closed-loop performance of the resulting model. Effectiveness of the proposed method is illustrated by a polymerization reactor example.

关键词： control oriented models Identification Nonlinear systems Volterra series Reduced-order models

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System identification for process control: challenges, opportunities, and new directions

System identification for process control: challenges, oppor...

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SICE Annual Conference

作者： D.E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Arizona State University USA

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