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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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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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Hybrid IMC dead-beat controller design in delta domain 2

Hybrid IMC dead-beat controller design in delta domain

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2nd IFAC Conference on control Systems Design, CSD 2003

作者： Preit, Z. Bars, R. Vajk, I. Haber, R. Department of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Research Group Goldmann Gyter 3 BudapestH-1111 Hungary Department of Plant and Process Engineering University of Applied Science Cologne Germany

The paper presents a control system design technique in delta domain for IMC (Internal Model control) structure. Also a generalised form for delta domain Dead-beat control algorithm is given, a hybrid implementation of the controller (Z-domain combined with delta domain) is presented and its architecture is compared with the pure deltadomain implementation. The effect of placing the limitations in the IMC structure is also studied. The hybrid control structure is compared with a similar Dead-beat controller in Z-domain for second and third order plants (benchmarks). An illustrative sensitivity analysis between the hybrid control system and the Z-domain system has been performed. © 2003 IFAC.

关键词： controllers

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Reduction of the Optimization Efforts with Predictive control by Using Non-Equidistant Prediction Points

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IFAC Proceedings Volumes 2003年第8期36卷 57-62页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50619 Köln Betzdorf er Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics MTA-BME Control Research Group Budapest University of Technology and Economics Hungary

With predictive control most of the computation time is spent for the simulation of the predicted variables and for the optimization if constraints or nonlinear processes are assumed. In addition to the known blocking technique for the manipulated variable another possibility is calculating the control error not in each sampling point of the prediction horizon but only in some coincidence points. It will be shown that the best choice is to allocate the coincidence points exponentially thus that with small prediction steps more and with increasing prediction steps less coincidence points are considered. As a practical example the multivariable control of a distillation column model illustrates the benefits of the method presented.

关键词： Predictive control optimal control control applications chemical industry execution time

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

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IFAC Proceedings Volumes 2003年第16期36卷 477-482页

作者： R. Haber U. Schmitz R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Köln Betzdorfer Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics Control Research Group of the Hungarian Academy of Sciences Budapest University of Technology and Economics Hungary

关键词： process identification prediction parameter estimation predictive control

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Hybrid IMC Dead-Beat controller Design in Delta Domain

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IFAC Proceedings Volumes 2003年第18期36卷 381-386页

作者： Zs. Preitl R. Bars I. Vajk R. Haber Department of Automation and Applied Informatics Budapest University of Technology and Economics. MTA-BME Control Research Group H-1111 Budapest Goldmann Gy. tér 3. Hungary: fax : + 36-1-463-2871 Department of Plant and Process Engineering University of Applied Science Cologne Germany

关键词： controller design delta domain generalised hybrid Dead-beat controller sensitivity analysis

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Combining First Principles with Black-Box Techniques for Reaction Systems

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IFAC Proceedings Volumes 2000年第15期33卷 427-432页

作者： Libei Chen Yves Hontoir Dexian Huang Jie Zhang A. Julian Morris Centre for Systems Engineering and Applied Mechanics Catholic University of Louvain Belgium SOLVAY Advanced Process Control Chemicals Corporate Research and Technology Brussels Belgium Department of Chemical and Process Engineering The University of Newcastle-upone-Tyne UK Department of Automation Tsinghua University Beijing China

A control oriented hybrid model structure combining first principles models with standard black-box techniques for modelling nonlinear dynamics of reaction systems is presented in this paper. The approach is formulated in a general framework for continuous stirred tank reactors and analyzed in details through a case study of a reactive distillation column. The approach is based on easily established mass balance equations, the stoichiometry of the system as well as model reduction techniques. The choice of combined inputs and the model structure is motivated by some general control objectives for this class of systems. A progressive identification of this model structure can be performed when a dominant part exists. The application to real process data is presented. This model structure has been successfully used in an IMC scheme for an industrial reactive distillation column.

关键词： Hybrid modelling neural networks process optimization reaction systems reactive distillation column

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Recapitalizing the Navy through optimized manning and improved reliability

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 61-72页

作者： Anderson, DE Malone, TB Baker, CC Mr. David E. Anderson:is a Navel Engineer with the Naval Sea Systems Command where he is currently assigmd to the HumanSystems Integration branch. Mr Anderson has a Bachelor of Science degree an Environmental Engineering from Flurida Technological University and a Master's in Environmental Engiwering from the University of Central Flurida. He currentEy is an HSI manager for a number oflvay R&D and skig acquisition efforts. Dr. Thomas B. Malone:received a Ph.D. in Experimental Psychology from Fordham University in 1964. He is President of Carlow International Incorporated an organization dedicated to human factors research and development with emphasis an mantime systems. He has directed over 350 programs and projects in his 33 year career and is responsible for overall management of all contract programs within the Corporation. He is a Past President of the Human Factors and E r g m i c s Society (HFES) of which he is a Fellow. He is also a Fellow of the Washington Academy of Sciences He was selected as a member of the N A S Space Sciences Technical Advisuiy Committee on Technoloo Requirements for Human Performance on Long Duration Space Missions in 2989 and 90. He was elected as the First Chair of the Systems Development Technical Group of the HFES. Dr Malone is currently managing eflorts to devehp and auto- mate standardized processes for canducting human systems integration (HSI) in the military weapon systems acquisition process and fov developing automated tools to facilitate fledormance of specific steps in the HSI process. Dr Malone also is currently occupied in applying human engineering to the DD 21 and is serving as the Chair ofthe System ManninglHuman Perfomzance Working IPT under the DD 21 ManninglHSI IPT chaired ty PMS 500M. Mr. Clifford Baker:has over 20 years experience in developing and applying human factors technology to complex systems. He holds a masters degree in psychology with a specialization in human factors engineering and he is a Board Certified Human Factors Engineering Profesional

Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's operability and effectiveness. Reduced manning impacts system reliability by changing the characteristics of (1) human error associated with system operation and maintenance, (2) time to repair failed components, and (3) mean-time-between-failures (MBTF) in a reduced manning environment. Simply reducing manning without compensating for system dependence on human involvement generally has a negative impact on system maintainability. Methods to address this include (1) human-system integration design of maintenance interfaces and (2) design of operations activities that are closely related to device failures. After demonstrating reliable performance through testing and operation, ship commanders can be assured that fewer people can effectively operate and maintain Navy ships and systems.

关键词： Naval vessels

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KrF lithography for 0.25-mu m CMOS/SIMOX pattern fabrication

NTT REVIEW

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NTT REVIEW 1997年第4期9卷 96-104页

作者： Kawai, Y Ohtaka, A Nakamura, J Tanaka, A Process-Control Research Group System Electronics Laboratories NTT Japan Lithography Technol. Research Group Microfabrication Technol. Laboratory NTT Japan Educational Research Center NTT Advanced Technology Japan

We developed a novel chemically amplified positive resist for KrF lithography. In order to process with it, sophisticated process technologies with good control had to be developed. Consequently, a pattern size accura... 详细信息

关键词： CMOS integrated circuits

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AN ENERGY-COST MINIMIZING STRATEGY FOR FERMENTATION DISSOLVED-OXYGEN control

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BIOprocess ENGINEERING 1994年第2期10卷 91-97页

作者： SHIELDS, RW KAO, EI 1. Advanced Process Control Technologies Group Fermentation Process Research and Development Lilly Research Laboratories Eli Lilly and Company Indianapolis USA

A cost-minimizing mathematical model for on-line control of dissolved oxygen using agitation speed and aeration rate was developed. In pilot scale monensin fermentation using Streptomyces cinnamonensis, this algortihm provided stable control of dissolved oxygen at 40%, reducing energy usage 27.8%. The agitation and aeration profiles provided by the algorithm respresent the pathway of least energy cost for control at the desired dissolved oxygen level. Other observed advantages of bivariable control were reduction of foaming, evaporation, and gas holdup. Reduced maintenance of compressors and agitator motors could also be expected due to decreased load. Monensin productivity equivalent to fermentation with constant agitation and aeration was not obtained, however, with potency reduced 14.8% with the dissolved oxygen control strategy.

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