检索结果-内蒙古大学图书馆

A New Measure of process Output controllability

IFAC Proceedings Volumes 1998年第11期31卷 663-672页

作者： David R. Vinson Christos Georgakis Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Bethlehem PA 18015

A steady state, multivariable, and nonlinear measure is presented for assessing the input-output, open-loop controllability of a process. This measure is ascertaining the inherent controllability of the process, as it is calculated in the absence of any regulatory control structure. It is also independent of the inventory control structure that might be assumed present in order to keep the inventory levels constant. This measure evaluates the ability of a design to reach all points of the desired output space and to reject the expected disturbances utilizing input action not exceeding the available input space. Besides being applicable to a SISO case, its multivariable character is shown to be more accurate than existing measures such as RGA, minimum singular value, and condition number.

关键词： control theory controllability Distillation columns Inputs Nonlinear gain Output Polygons

来源：评论

学校读者我要写书评

暂无评论

Application of Nonlinear State Estimation to Batch Polymerization Reactors

引用

IFAC Proceedings Volumes 1998年第11期31卷 645-650页

作者： G. Mourikas A.J. Morris C. Kiparissides Center of Process Analysis Chemometrics and Control Department of Chemical and Process Engineering University of Newcastle upon Tyne Newcastle UK Department of Chemical Engineering and Chemical Process Engineering Research Institute Aristotle University of Thessaloniki Thessaloniki Greece

Two estimation methods, namely the Extended Kalman Filter and the Receding Horizon State Estimator, were applied to a simulated batch solution polymerization reactor model. Parameter adaptive filters were found to be extremely successful in tracking time-varying model parameters (e.g., reactor fouling and time-varying kinetic rate constants). Finally, the problem of estimating the initial process states was considered, and two estimation algorithms (e.g., the reiterative Kalman Filter and a non-linear optimization based estimator) were implemented to track the initial initiator concentration and the initial value of the overall heat-transfer coefficient in a batch polymerization reactor.

关键词： Nonlinear estimation multirate EKF polymerization reactors time-varying parameters

来源：评论

学校读者我要写书评

暂无评论

Nonlinear reduced order models for separation processes via augmentation of linear subspace models

Nonlinear reduced order models for separation processes via ...

引用

American control Conference (ACC)

作者： W.A. Docter C. Georgakis Chemical Process Modeling and Control Research Center and Department of Chemical Engine Lehigh University Bethlehem PA USA D311 Iacocca Hal Bethlehem PA

This paper presents a general methodology for developing nonlinear low-order model (NLLOM) from data collected from large detailed nonlinear models. This methodology is divided into two tasks: development of an average linear low-order model (ALLOM) and augmentation of the ALLOM with selected nonlinear terms to form the NLLOM. The tools required for the augmentation step that is the focus of this paper include stepwise regression and nonlinear optimization. Results will be presented for the application of these techniques in the development of an NLLOM from a detailed high purity air separation distillation column model supplied by Praxair, Inc.

关键词： Separation processes Predictive models Solid modeling Integrated circuit modeling Discrete Fourier transforms chemical processes process control chemical engineering Distillation equipment Thermodynamics

来源：评论

学校读者我要写书评

暂无评论

Identification of reduced order average linear models from nonlinear dynamic simulations

Identification of reduced order average linear models from n...

引用

American control Conference (ACC)

作者： W.A. Docter C. Georgakis Chemical Process Modeling and Control Research Center Department of Chemical Engineering Lehigh University Bethlehem PA USA

Presents a general methodology for the identification of average linear low order models (ALLOM) from data collected from detailed nonlinear models. While there are many methods available in the literature for identifying linear models, these methods tend to produce inaccurate and ill-conditioned models when used on nonlinear data sets. The method in this paper differs from traditional linearization methods in that it better approximates the dynamic characteristics over a wider area around the reference steady state.

关键词： Signal processing Predictive models Open loop systems chemical processes process control chemical engineering Steady-state Separation processes Thermodynamics State estimation

来源：评论

学校读者我要写书评

暂无评论

Closed-Loop Identification of State Space Models using Subspace Techniques

引用

IFAC Proceedings Volumes 1997年第9期30卷 37-42页

作者： Hemant Jha Christos Georgakis Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Bethlehem Pennsylvania 18015 Phone: (610)-758-5432 Fax:(610)-758-5297

The paper presents a subspace algorithm which identifies the process model from closed-loop data. The algorithm is based on the use of a closed-loop oblique projection for the direct identification of the plant dynamics. This closed-loop oblique projection is particularly useful because it eliminates the use of a minimal realization step after the identification has been performed. Similar to the open-loop algorithm, the proposed closed-loop algorithm is ideally suited for MIMO problems.

关键词： Closed-loop Identification Subspace Methods State Space Models Multivariable Systems Matrix Projection

来源：评论

学校读者我要写书评

暂无评论

Reference system based model predictive control

引用

IFAC Proceedings Volumes 1996年第1期29卷 5923-5928页

作者： Lokesh Kalra Chriatos Georgakis Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Bethlehem Pennsylvania USA

Despite recent advances in the field, the tuning of presently popular Model Predictive control formulations is largely a trial and error procedure. Motivated by this fact, a Reference System based tuning is explored through Reference System Model Predictive control. The RS-MPC algorithm is examined because of its potentially more intuitive approach to tuning. Under this methodology the tuning involves the selection of two parameters for each controlled variable. The first parameter adjusts the shape of the response and the second one affects the speed. Using these, instead of the weight-based tuning of conventional MPC, much of the trial and error is eliminated. The most important features of the controller arc elucidated through the performance of the STSO and MIMO cases for the Amoco Fluid Catalytic Cracker process simulation.

关键词： Multivariable Feedback control Predictive control Models Tuning Characteristics control Algorithms Simulators

来源：评论

学校读者我要写书评

暂无评论

Decentralized PCA Charts for Performance Assessment of Plant-Wide control Structures

引用

IFAC Proceedings Volumes 1996年第1期29卷 5894-5898页

作者： Christos Georgakis Bethany Steadman Vincenzo Liotta Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Bethlehem Pennsylvania USA

Static principal component analysis (PCA) statistical charts are used to assess and compare the performance of two plant-wide control strategies of the Tennessee Eastman process. Both centralized and decentralized charts are used as well as charts relating to the energy and material balance of the process. In most cases these charts reveal the origin of the disturbance and the effectiveness of the control structure to compensate for the disturbance. Differences and similarities between the two control structures are also examined.

关键词： process control large scale systems multivariable feedback systems multivariable quality control control schemes disturbance localization disturbance rejection

来源：评论

学校读者我要写书评

暂无评论

Disturbance detection and isolation by dynamic principal component analysis

Disturbance detection and isolation by dynamic principal com...

引用

作者： Ku, Wenfu Storer, Robert H. Georgakis, Christos Chemical Process Modeling and Control Research Center Iacocca Hall Lehigh University 111 Research Dr. Bethlehem PA 18015 United States Department of Chemical Engineering Department of Industrial Engineering

In this paper we extend previous work by ourselves and other researchers in the use of principal component analysis (PCA) for statistical process control in chemical processes. PCA has been used by several authors to develop techniques to monitor chemical processes and detect the presence of disturbances [1-5]. In past work, we have developed methods which not only detect disturbances, but isolate the sources of the disturbances [4]. The approach was based on static PCA models, T2 and Q charts [6], and a model bank of possible disturbances. In this paper we use a well-known 'time lag shift' method to include dynamic behavior in the PCA model. The proposed dynamic PCA model development procedure is desirable due to its simplicity of construction, and is not meant to replace the many well-known and more elegant procedures used in model identification. While dynamic linear model identification, and time lag shift are well known methods in model building, this is the first application we are aware of in the area of statistical process monitoring. Extensive testing on the Tennessee Eastman process simulation [7] demonstrates the effectiveness of the proposed methodology.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Studies in plant-wide controllability using the Tennessee Eastman Challenge problem, the case for multivariable control

Studies in plant-wide controllability using the Tennessee Ea...

引用

American control Conference (ACC)

作者： D.R. Vinson C. Georgakis J. Fossy Air Products and Chemicals Inc. Allentown PA USA Chemical Process Modeling and Control Research Center and Department of Chemical Engineering Lehigh University Bethlehem PA USA

The design and application of a new control structure for the Tennessee Eastman Challenge process is presented. This structure is primarily single-input single-output (SISO) but it has been augmented with the concept of extensive variable control to intuitively design multivariable structures for the regulation of the production rate and the product purities. A review of plant-wide control methodologies is provided to lay the basis for a discussion of SISO versus multivariable approaches.

关键词： controllability Computer aided software engineering control systems process design chemical products chemical processes process control Steady-state Recycling Production systems

来源：评论

学校读者我要写书评

暂无评论

Abstracts of papers presented at the 14th conference of the Weed Science Society of Israel Abstracts of papers presented at the international conference on controlled atmosphere and fumigation (CAF) in stored products Abstracts of papers presented at the joint international conference of FAOPMA — CEPA on pest control in the 21st century Abstracts of papers presented at the 2nd international Agro-Ecology Symposium on integrated pest management: from the drawing board to the market

引用

Phytoparasitica 1996年第3期24卷 199-265页

作者： E. Yogev M. Berson Y. Benyamini Y. Sheinboim T. Lev-Ran A. Bahat Y. Barkai Y. Gatti M. Zaidan O. Barazani Y. Boshvize S. Graph U. Luchinsky T. Blumenfeld Y. Kleifeld G. Herzlinger H. Bucsbaum S. Golan T. Chilf R. Aly Y. Ohali A. Ovadia Y. Chachlon H. Yovel Y. Tesler G. Colodney A. Nir S. Zarka A. Tal B. Rubin T. Yaacoby Y. Alon Y. Kedar Orit Ben-Zvi Assaraf O. Shainberg H. D. Rabinowitch E. Tel-Or Y. Goldwasser D. M. Joel D. Plakhine V. Portnoy G. Tzuri N. Katzir Dalia Losner-Goshen A. M. Mayer R. Jacobsohn Z. Tanaami H. Eisenberg Ziva Amsellem Z. Kernyi L. Hornok J. Gressel Adiva Shomer-Ilan Ela Nir Daphna Michaeli V. Kampel A. Warshawsky M. Yogev M. Negbi J. Hershenhorn Y. Lavan T. Hilf M. Horowitz M. Cohen I. Hirsch A. Veneziani S. T. Conyers C. H. Bell Ana C. Sá-Fischer C. S. Adler Ch. Reichmuth P. W. Flinn D. W. Hagstrum G. N. Mbata R. G. Winks Elisabeth A. Hyne M. Q. Chaudhry A. D. MacNicoll N. R. Price M. Schöller J. -F. Dugast R. Plarre S. Navarro E. J. Donahaye R. Diaz Miriam Rindner A. Azrieli P. Trematerra F. Fontana M. Mancini Ailsa D. Hocking Marta H. Taniwaki J. Lacey A. Hamer N. Magan N. Paster F. M. Caliboso D. G. Alvindia G. C. Sabio M. T. dela Cruz Okky Setyawati Dharmaputra A. S. R. Putri M. Sidik Eleni Papademetriou A. Varnava C. Mouskos M. A. Malek B. Parveen K. A. Dzisi W. O. Ellis Ana Maria Estevez Ljubica Galletti T. Fichet E. Oteiza L. A. Lizana M. X. Gonzalez B. Yakobson Y. Slavezky H. Ephrati El-H. Bartaly R. K. Kashyap M. Gupta W. L. Kashyap B. S. Dahiya A. K. Dash J. R. Rangaswamy R. D. Shroff D. S. Jayas W. E. Muir N. D. G. White L Gaye Weller J. E. van S. Graver Wu-Kang Peng M. Bengston E. Alip C. Reed J. G. Leesch G. F. Knapp G. F. Russell L. B. Llewellin Ch. Ulrichs H. J. Banks P. C. Annis R. Allanson R. Tauscher K. Westphal S. Mohan M. Gopalan P. C. Sumdarababu V. V. Sree Narayanan Sabine Prozell G. Ziegleder B. Schartmann R. Matissek J. Kraus D. Gerard S. Rogg W. Raemann R. F. Ryan Ya-Nan Wang R. T. Noyes P. Kenkel J. T. Criswell G. W. Cuperus C. J. Waterford C. P. Whittle L. Be Luxembourg Chemicals and Agriculture Ltd. Tel Aviv Israel Agrochemicals Dept. Milchan Bros. Ltd. Ramat Gan Israel Extension Service Ministry of Agriculture Zefat Mevo Hamma Ramat HaGolan Israel Dept. of Weed Science ARO Newe Ya’ar Research Center Haifa Israel Agrochemicals Department Milchan Bros. Ltd. Ramat Gan Israel Tarsis-Agrichem Tel Aviv Israel Weed Control Co. Ltd. Bet Dagan Israel Dept. of Field Crops Vegetables and Genetics The Hebrew University of Jerusalem Faculty of Agriculture Rehovot Israel Plant Protection and Inspection Services Ministry of Agriculture Bet Dagan 50250 Agan Chemical Manufacturers Ltd. Ashdod Israel Dept. of Field Crops Vegetables and Genetics Rehovot Dept. of Agricultural Botany The Hebrew University of Jerusalem Faculty of Agriculture Rehovot Israel Dept. of Weed Science ARO Newe Ya’ar Research Center Haifa Dept. of Botany The Hebrew University of Jerusalem Jerusalem Israel Dept. of Vegetable Crops ARO The Volcani Center Bet Dagan Israel Dept. of Plant Genetics Weizmann Institute of Science Rehovot Israel Inst. for Plant Science Agricultural Biotechnology Center Gödöllö Hungary Dept. of Botany Tel-Aviv University Tel Aviv Israel Dept. of Plant Genetics The Weizmann Institute of Science Rehovot Israel Dept. of Organic Chemistry The Weizmann Institute of Science Rehovot Israel Dept. of Ornamental Horticulture ARO The Volcani Center Bet Dagan Israel Weed Control Co. Ltd. Bet Dagan Chem-Nir Ltd. Kefar Shemaryahu Tiveon-Chem Co. Haifa Israel Central Science Laboratory Ministry of Agriculture Fisheries and Food Slough Berks UK Federal Biological Research Centre for Agriculture and Forestry Inst. for Stored Product Protection Berlin Germany USDA-ARS Grain Marketing and Production Research Center Manhattan USA School of Biological Sciences Abia State University Uturu Nigeria CSIRO Division of Entomology SCMC Nambour CSIRO Division of Entomology Canberra Australia DowElanco Europe Letcombe Laboratory L

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：