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

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Online estimation and adaptive temperature control of polymerization reactor

Online estimation and adaptive temperature control of polyme...

引用

10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Vasanthi, D. Pranavamoorthy, B. Pappa, N. Madras Institute of Technology Chennai India

ISBN: (纸本)9783902823595

The temperature control of a semi-batch polymerization reactor described by Chylla and Haase, a control engineering benchmark problem is considered. The process is nonlinear and time varying in nature. There is significant change in heat transfer coefficient, during a batch due to changes in the viscosity of the polymer and also from batch to batch due to surface fouling. Also change in ambient temperature during summer and winter makes the temperature control of this process a challenging task. The conventional cascade control provides robust operation, but often lacks in control performance concerning the required strict temperature tolerances. Hence an adaptive control design by employing a self tuning cascade with feed forward control concept is proposed in this paper to provide excellent control. This design calculates a trajectory for the cooling jacket temperature in order to follow a predefined trajectory of the reactor temperature. The reaction heat as well as the heat transfer coefficient required for the proposed controller is estimated online by using Unscented Kalman Filter (UKF). Simulation results under model uncertainties show the effectiveness of the proposed adaptive control concept. © IFAC.

关键词： Feedforward control

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Towards model predictive control on anaerobic digestion process

Towards model predictive control on anaerobic digestion proc...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Oppong, Grace Montague, Gary A. Martin, Elaine B. BBTC School of Chemical Engineering and Advanced Materials Newcastle University NE1 7RU United Kingdom

ISBN: (纸本)9783902823595

Anaerobic digestion with biogas production has both economic and environmental benefits. 25% of all bioenergy in the future could potentially be sourced from biogas. Although anaerobic digesters have seen wide applicability, they typically perform below their optimum performance as a consequence of the complexity of the underlying process. This work involves the development of a generic advanced process control system to optimize the performance of anaerobic digesters. There is a requirement for a configurable monitoring and optimization system with associated sensors to optimize the production of biogas, combined with a degree of flexibility for quality and content of the digestate. © IFAC.

关键词： Anaerobic digestion

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Nested modifier-adaptation for RTO in the Otto Williams Reactor

Nested modifier-adaptation for RTO in the Otto Williams Reac...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Navia, Daniel Gutiérrez, Gloria De Prada, César Dpt. Ingeniería Química y Ambiental Universidad Técnica Federico Santa María Santiago Chile Dpt. Systems Engineering and Automatic Control University of Valladolid c/Real de Burgos s/n 47011 Valladolid Spain

ISBN: (纸本)9783902823595

This paper deals with the problem of uncertainty management in real time optimization (RTO). It proposes a new architecture in the modifier-adaptation methodology, reformulating the algorithm as a nested optimization problem with two layers. Using this approach, it is possible to find a point that satisfies the KKT conditions of a process using an inaccurate model, but unlike the original modifier method, with no need to estimate the experimental gradients of the process. The proposed method has been tested in the Otto Williams Reactor considering structural mismatches and perfect and noisy measurements. The results are compared with the previous modifier adaptation methodology using dual control optimization showing that the method finds a KKT point of the process with the advantage that no experimental gradient information is required and with less sensitivity to process noise. © IFAC.

关键词： Optimization

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Optimization-based domain reduction in guaranteed parameter estimation of nonlinear dynamic systems

Optimization-based domain reduction in guaranteed parameter ...

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9th IFAC symposium on Nonlinear control systems, NOLCOS 2013

作者： Paulen, Radoslav Villanueva, Mario Chachuat, Benoit Process Dynamics and Operations Group Department of Biochemical and Chemical Engineering Technische Universität Dortmund Emil-Figge-Str. 70 44221 Dortmund Germany Centre for Process Systems Engineering Department of Chemical Engineering South Kensington Campus London SW7 2AZ United Kingdom

ISBN: (纸本)9783902823472

This paper is concerned with guaranteed parameter estimation in nonlinear dynamic systems in a context of bounded measurement error. The problem consists of finding-or approximating as closely as possible-the set of all possible parameter values such that the predicted outputs match the corresponding measurements within prescribed error bounds. An exhaustive search procedure is applied, whereby the parameter set is successively partitioned into smaller boxes and exclusion tests are performed to eliminate some of these boxes, until a prespecified threshold on the approximation level is met. In order to enhance the convergence of this procedure, we investigate the use of optimization-based domain reduction techniques for tightening the parameter boxes before partitioning. We construct such bound-reduction problems as linear programs from the polyhedral relaxation of Taylor models of the predicted outputs. When applied to a simple case study, the proposed approach is found to reduce the computational burden significantly, both in terms of CPU time and number of iterations. © IFAC.

关键词： Dynamical systems

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Computationally efficient globally linearizing control of a CSTR using nonlinear black box models

Computationally efficient globally linearizing control of a ...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Deshpande, Shraddha S. Patwardhan, Sachin C. Department of Electronics Engineering Walchand College of Engineering Sangli India Chemical Engineering Department Indian Institute of Technology Bombay India

ISBN: (纸本)9783902823595

The main objective of this work is to develop computationally efficient Global linearization based control (GLC) schemes, which are suitable for control of nonlinear processes with fast dynamics. Models used for the controller synthesis are discrete time block oriented nonlinear black box state space models identified directly from the input-output perturbation data. The chosen model structures facilitate construction of closed form solutions to the unconstrained GLC formulations. The efficacy of the proposed control formulations is evaluated by conducting simulation studies on a benchmark continuously stirred tank reactor (CSTR) system which exhibits input multiplicity behavior. Analysis of the simulation results reveals that the proposed GLC formulations are able to achieve a significant reduction in the average computation time without compromising on the closed loop performance. © IFAC.

关键词： Linearization

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Application of multiway principal component analysis for identification of process improvements in pharmaceutical manufacture

Application of multiway principal component analysis for ide...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Molloy, M. Martin, E.B. Biopharmaceutical and Bioprocess Technology Centre Chemical Engineering and Advanced Materials Newcastle University United Kingdom

ISBN: (纸本)9783902823595

This paper describes the application of batch trajectory alignment, outlier detection, and multiblock multiway principal component analysis (MPCA) to data from an industrial active pharmaceutical ingredient manufacturing process. The process data routinely collected from historical batches, including temperatures, pressures, and controller outputs, has been used to improve process operation and understanding. MPCA highlighted questionable batches from which plant issues were identified. Variable contributions to the MPCA scores were used to identify the process variables potentially causing the variation in batch drying time. © IFAC.

关键词： Fault detection

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Adaptive anti-over-fitting soft sensing method based on local learning

Adaptive anti-over-fitting soft sensing method based on loca...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Shao, Weiming Tian, Xuemin Chen, Honglong College of Information and Control Engineering China University of Petroleum Qingdao 266580 China

ISBN: (纸本)9783902823595

Local learning based soft sensing methods are effective in dealing with process nonlinearities as well as time varying characteristics. In this paper, an anti-over-fitting method is proposed for appropriate online local model adaptation. The proposed method is based on the weighted sum of the predicted errors for the newest few samples, the weights of which are determined adaptively. Moreover, to reduce the online computational load and memory cost, we propose two adaptive process states division schemes which consider the influence of both the variance and mean value of the predicted residual. Two case studies on continuous stirred tank reactor and debutanizer column demonstrate the effectiveness of the proposed soft sensing scheme. © IFAC.

关键词： process control

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The application of cognitive interface design methodology for a digitalized main control room in nuclear power plant

The application of cognitive interface design methodology fo...

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12th IFAC/IFIP/IFORS/IEA symposium on Analysis, Design, and Evaluation of Human - Machine systems, HMS 2013

作者： Cha, Woo Chang Yoon, Wan Chul Kumoh National Institute of Technology Gumi-city Korea Republic of Korea Advanced Institute of Science and Technology Daejeon Korea Republic of

ISBN: (纸本)9783902823410

This technical study describes the application of Ecological Interface Design (EID) method that may improve operator performance in digitalized system environment such as main control room in next generation nuclear power plant. While cognitive interface design method such as Information Rich Display (IRD) is mainly focused on stereotyped information for the user, EID method helps users' mental resources to be allocated to tasks that process highly abstract information including diagnosis and situation assessment. However, the sophisticated and relationship-embedded EID displays may cease to be intuitive when many of them are presented without consistently designed common elements. This study aims at suggesting consistent elements of EID displays for a digitalized Main control Room of Nuclear Power Plant taking the example of the control process of Steam Generator (SG) Water Level. The proposed EID displays were reviewed by domain experts and operators to conjecture how such EID displays might benefit the operator's decision making. The experience from this study indicates that situation awareness in digitalized interface design may be improved by appropriately designed visualization of abstract information and that operator may be aided by the represented dynamics in EID display. Copyright © 2013 IFAC.

关键词： process control

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control and optimization challenges in liquid-loaded shale gas wells

Control and optimization challenges in liquid-loaded shale g...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Kaisare, Niket S. Gupta, Arun Kariwala, Vinay Nandola, Naresh N. Green, John W. Seikel, Giulia Somdecerff, Peter ABB Corporate Research ABB GISL Bhoruka Tech. Park Whitefield Main Road Bangalore 560048 India ABB Inc. 7051 Industrial Blvd. Bartlesville OK 74006 United States

ISBN: (纸本)9783902823595

Shale gas reservoirs are classified as unconventional reservoirs. Their key features include low permeability, rapid decline in production rate, and liquid loading at the well-bottom. An industrial perspective towards automation in Shale gas is provided in this paper. Specifically, the challenges and opportunities in controlling the liquid loading problem and optimizing the production from shale gas wells are discussed. Automation systems and control hierarchy are discussed and parallels with the more familiar process Industries are highlighted. The key components of reservoir modeling, well-bore modeling, feed-back control, model parameter update, multi-well optimization, and production management are presented. An example of periodic shut-in operation is used to underline the various concepts discussed in this paper. © IFAC.

关键词： Shale gas

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Certifying robustness of separating inputs and outputs in active fault diagnosis for uncertain nonlinear systems

Certifying robustness of separating inputs and outputs in ac...

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10th IFAC symposium on dynamics and control of process systems, DYCOPS 2013

作者： Streif, Stefan Hast, Daniel Braatz, Richard D. Findeisen, Rolf Institute for Automation Engineering Laboratory Systems Theory and Control Otto-von-Guericke University Magdeburg Germany Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9783902823595

To ensure safe operation of technical processes, faults have to be reliably detected and isolated to provide information for process maintenance, shutdown, or reconfiguration. Fault detection and isolation can be achieved by invalidation of fault candidates, i.e. models of the system in fault-free and faulty condition. In order to enhance the performance of fault detection and isolation, so-called active approaches use input signals with the objective that the resulting system outputs are consistent with at most one fault candidate. Guaranteeing or analyzing robustness of active fault diagnosis with respect to input, output, and process uncertainties and nonlinearities is challenging. This paper provides certificates of robustness of input sequences with respect to the aforementioned uncertainties and nonlinearities. The certificates enable the determination of input and output uncertainties for which unique fault diagnosis results can still be guaranteed. In addition, a method is presented to select a minimal number of outputs that still guarantee robust fault diagnosis, thus reducing the measurement setup and cost. The approach employs nonlinear mixed-integer feasibility problems and a relaxation framework and does not require the explicit computation of reachable sets. The approach is applicable to polynomial discrete-time systems and is demonstrated for a numerical example. © IFAC.

关键词： Nonlinear systems

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