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检索条件"任意字段=Symposium on Dynamics and Control of Process Systems"

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process design for reduced disturbance sensitivity of integrated plants 7th

Process design for reduced disturbance sensitivity of integr...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Carlemalm, Hong Cui Jacobsen, Elling W. S3-Automatic Control Royal Institute of Technology - KTH StockholmS-100 44 Sweden

The disturbance sensitivity of an integrated plant is to a large extent caused by interactions between the process units, imposed by material and energy recycle flows. In this paper we show how a plug flow (delay) tank integrated in the recycle path can be used to modify these interactions such as to reduce the disturbance sensitivity in a given frequency range. The principle idea is to modify the physical feedback present in the process such that it provides disturbance damping, rather than amplification, in the frequency range where feedback controllers can not be made effective. As we show, the required capacity for a given level of disturbance attenuation with the proposed method can be severalfolds smaller than that required by a traditional cascaded buffer system. The results are illustrated by application to a reactor-separator system with recycle of unconverted material. Copyright © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： Feedback

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Automatic detection of stiction in actuators: A technique to reduce the number of uncertain cases 7th

Automatic detection of stiction in actuators: A technique to...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Rossi, M. Scali, C. Department of Chemical Engineering CPCLab University of Pisa Italy

The presence of suction in actuators is responsible for deterioration of performance in control loops: the possibility of automatic detection of this phenomenon from the analysis of recorded data is certainty very important and should be included in a monitoring system. In the paper it is shown that the application on plant data of a largely diffused technique (Horch, 1999), may not be able to detect the presence of stiction in some cases. More in general, application of the technique in simulation on different stiction models, shows that, by varying process parameters, stiction can be hidden and the uncertainty /one (gray zone: where is not possible to take any decision) may become very large. A new technique, based on the shape of loop signals originated by stiction, is then proposed. Even though it is not able to guarantee detection of friction phenomena in all cases, (impossible for every technique, without any further knowledge on the process), the proposed technique allows a significant reduction of the gray zone;this is illustrated by intensive simulation and by application on plant data. © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： process monitoring

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Low-order dynamics in a lattice model of thin film deposition, using nonlinear principal component analysis 7th

Low-order dynamics in a lattice model of thin film depositio...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Gallivan, Martha A. School of Chemical and Biomolecular Engineering Georgia Institute of Technology AtlantaGA30332 United States

Linear and nonlinear principal component analysis is used to characterize the state space of a kinetic Monte Carlo simulation of thin film deposition. The film's surface is first characterized using spatial correlation functions. This high-dimensional representation is reduced using a combination of linear and nonlinear projection. When nonlinear projection is used, the dynamics of the training and test data can be captured within 2% and 7%, respectively, using three dimensions. In constrast, a three-dimensional linear reduction does not adequately describe the relationship between the training and test data. Copyright © IFAC dynamics and control of process systems. Cambridge, Massachusetts, USA, 2004

关键词： Monte Carlo methods

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A critical comparison of linear and nonlinear property estimators in inferential control 7th

A critical comparison of linear and nonlinear property estim...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Pannocchia, Gabriele Leoni, Paolo Brambilla, Alessandro Department of Chemical Engineering University of Pisa Via Diotisalvi 2 Pisa56726 Italy

In this paper, a comparison of linear and nonlinear estimators with particular emphasis to the closed-loop properties of the resulting inferential control scheme is presented. The concept of closed-loop "consistency" is introduced as an effective criterion for choosing the auxiliary variables. An estimator is consistent if it guarantees low closed-loop steady-state offset in the true unmeasured controlled variables. By means of a case study of a high purity distillation column, a number of issues that can arise in inferential control are emphasized, and their implications on the closed-loop stability are discussed. It is shown that the use of some nonlinear estimators, which in general guarantee a superior precision, may be inappropriate because of the presence of zero gains and gain inversions that can lead the closed-loop system to instability. Moreover, in multi-input multi-output (MIMO) systems it is possible that the estimator requires the auxiliary variables to reach values that are not reachable by the actual plant. © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： Least squares approximations

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An agent-based framework for control of reactor networks with autocatalytic replicators 7th

An agent-based framework for control of reactor networks wit...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Tatara, Eric Teymour, Fouad Cinar, Ali Department of Chemical and Envirvnmental Engineering Illinois Institute of Technology ChicagoIL60616 United States

Several recent studies on autocatalytic reactions in single and coupled continuous stirred-tank reactor (CSTR) networks have demonstrated a rich spectrum of complex behavior. From a control systems perspective, the operating regime of a CSTR network can be manipulated by changing the flow rates between the reactors. systems of more than one CSTR require multiple controllers and may need transients through several operating regimes to achieve the desired operation. This may require a hierarchical control structure whereby local control objectives can change dynamically in order to achieve the global control objective of the system. An agent-based control system is used to observe and control various aspects of a CSTR network. The primary focus of analyzing complex emergent-behavior is demonstrating methods or combinations of methods that influence the behavior and capabilities of the agent-based control system. Simulation studies illustrate scenarios of interest, especially conditions that lead to emergent behavior. Copyright © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： control systems

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Predictive control of switched nonlinear processes with scheduled mode transitions 7th

Predictive control of switched nonlinear processes with sche...

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Mhaskar, Prashant El-Farra, Nael H. Christofides, Panagiotis D. Department of Chemical Engineering University of California Los AngelesCA90095-1592 United States

A predictive control framework is proposed for the constrained stabilization of switched nonlinear processes. The problem of stabilization of a switched process, transiting between its constituent modes at prescribed transition times, is considered. The main idea is to design Lyapunov-based predictive controllers Cor each of the constituent modes in which the switched process operates, and incorporate constraints in the predictive controller design of the individual modes which ensure that transitions between the modes at pre-determined switching times occur in a way so as to guarantee stabilization of the switched closed-loop process. This is achieved as follows: For each constituent mode, a Lyapunov-based predictive controller (MPC) is designed. Then, constraints are incorporated in the MPC design which ensure that: (1) the states of the closed-loop process, at the time of the transition, reside in the stability region of the mode that the process switches into, and (2) the vaiue of the Lyapunov function of the process for each of the modes is nonincreasing whenever the mode is active, thereby guaranteeing stabilization. The proposed control method is demonstrated through application to a chemical process example. Copyright © IFAC dynamics and control of process systems. Cambridge, Massachusetts. USA, 2004

关键词： Stabilization

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Distributed decision making in complex organizations: the adaptive enterprise

Distributed decision making in complex organizations: the ad...

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8th International symposium on process systems Engineering

作者： Ydstie, BE Carnegie Mellon Univ Dept Chem Engn Pittsburgh PA 15213 USA

In this paper, we give a tutorial overview of how the convergence of business decision making (BDM), information technology and computer aided process decision making can make organizations adaptive. One framework for advancing the conflux of these ideas is provided by distributed network theory and non-equilibrium thermodynamics. In this theory, the integrated system of decision makers, software and physical devices are viewed as a network of semi-autonomous activities that interact through boundary conditions. The dynamics of such systems can be stabilized using inventory and flow control. Decision making based on value analysis leads to trajectories that are stable and minimize cost. We describe the basis for evaluating business performance using the intrinsic value of new processes and products. We finish by reviewing very briefly how the drive towards excellence can make it easier for universities and industry to carry out cooperative RD. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： technology management convexity information technology finance business systems process control stochastic process inventory control flow control entropy dissipation risk separation principles agents lean manufacture

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process engineering is changing you can sense it 7th

Process engineering is changing you can sense it

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Schweighardt, Frank K. Zatko, Dave Air Products and Chemicals Inc. 7201 Hamilton Blvd AllentownPA18195 United States

The role and responsibilities of the process Engineer are rapidly evolving. This is in part because economic drivers to automate control of batch and continuous operations for consistent molecular compositions also apply to maintaining consistent process performance to meet more demanding product specifications. Both of these criteria are showing a greater return on investment (ROI) initiated by traditional process control strategies, but enhanced with specific (on-line) composition analysis. Incorporation of state-of-the-art point-of-use physical property measurements (temperature/pressure/flow) combined with chemical specific (molecular species) sensors provides unique feedback enabling the process engineer to better apply "model predictive control (MPC) " techniques. Such sensor technologies may allow the engineer to know the process composition at each tray in a distillation tower, or at purification tower positions in temperature or pressure swing absorbers (TSP or PSA) in "real-time" to alert for break-thru. Chinese Taoist philosopher Lao Tzu circa 600 BCE said, "To Know and not to do is not to know". It is our role as chemists and engineers to know and to do to gain true process control. Knowing the capabilities and limitations of the new sensor technology and how such sensors are evolving, can provide unique insights for the process engineer, who in turn will challenge the process analytical chemist to improve sensor specificity and performance. Copyright © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： Chemical analysis

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Gaussian process regression for batch process modelling 7th

Gaussian process regression for batch process modelling

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Ou, Xiaoling Morris, Julian Martin, Elaine Centre for Process Analytics and Control Technology School of Chemical Engineering and Advanced Materials University of Newcastle Newcastle upon TyneNE1 7RU United Kingdom

This paper proposes the application of Gaussian process regression for the empirical modelling of batch processes to provide long range predictions. Gaussian processes are flexible, non-parametric Bayesian regression techniques. In the training stage, hyper-parameters that define the covariance structure of the Gaussian process can be obtained using Markov Chain Monte Carlo sampling. Model predictions can then be achieved by taking the average of the Monte Carlo samples. The proposed technique is evaluated by application to a benchmark simulation of a fed-batch bioreactor. The results show that comparable results can be achieved with other non-parametric modelling approaches such as recurrent neural networks. © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： Monte Carlo methods

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Detection and quantification of control valve stiction 7th

Detection and quantification of control valve stiction

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7th IFAC symposium on dynamics and control of process systems, DYCOPS 2004

作者： Choudhury, M.A.A.S. Shah, S.L. Thornhill, N.F. Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Department of Electronic and Electrical Engineering University College London WC1E 71E United Kingdom

Stiction is one of the most common problems in the spring-diaphragm type control valves, which are widely used in the process industry. Although there have been many attempts to understand and detect stiction in control valves, none of the current methods can simultaneously detect and quantify stiction. There is thus a clear need in the process industry for a non-invasive method that can not only detect but also quantify stiction so that the valves that need repair or maintenance can be identified, isolated and repaired. This work describes a method that can detect and quantify stiction that may present in control valves using routine closed loop operating data obtained from the process. No additional excitation or experimentation with the plant is required. Over a dozen industrial case studies have demonstrated the wide applicability and practicality of this method as an useful diagnostic aid in control-loop performance monitoring. © IFAC dynamics and control of process systems, Cambridge, Massachusetts, USA, 2004

关键词： Condition monitoring

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