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IEEE Conference on control Technology and Applications (CCTA)

作者： K. Worapradya S. Pratishthananda Department of Process Control & Automation Chonburi Industrial Estate Nakornthai Strip Mill Public Limited Company Thailand Department of Electrical Engineering Chulalongkom University Bangkok Thailand

In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbances enter the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in a decentralized control scheme to per form dual composition control. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method

关键词： Distillation equipment Fuzzy control Feeds Genetic algorithms Temperature control Distributed control Shape control Fuzzy systems control systems process control

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Introducing reliability and real-time features in flexible agent-oriented automation systems

Introducing reliability and real-time features in flexible a...

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2nd IEEE International Conference on Industrial Informatics: Collaborative automation - One Key for Intelligent Industrial Environments, INDIN'04

作者： Urbano, Paulo De A. Wagner, Thomas Göhner, Peter Katzke, Uwe Vogel-Heuser, Birgit Institute of Industrial Automation and Software Engineering University of Stuttgart Institute of Process Control Engineering University of Wuppertal

ISBN: (纸本)0780385136

By means of agent oriented software engineering flexible, adaptive automation systems can be developed. An open question is, nevertheless, how could the specific requirements on automation systems, in particular related to depend-ability and real-time features, be considered. In this paper an approach for the integration of such features in the development of flexible agent oriented automation systems is presented. © 2004 IEEE.

关键词： Real time systems

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Conceptual design of an engineering model for product and plant automation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3147卷 301-321页

作者： Fischer, K. Göhner, P. Gutbrodt, F. Katzke, U. Vogel-Heuser, B. Department of Automation and Process Control Engineering University of Wuppertal Germany Institute of Industrial Automation and Software Engineering University of Stuttgart Germany

Common engineering approaches and modelling approaches from software engineering are brought together. For the domain of process automation, i.e. product and plant automation, an implementation oriented approach for an object oriented software development for heterogeneous distributed systems is introduced. Model elements for control are added to UML as well as small-scale patterns for plant automation. Besides large-scale patterns are introduced as well as implementational models. The adoption of UML regarding applied diagrams and stereotypes for process automation will be introduced and structured components, an idiom for product automation software development, will be compared to other software engineering notations. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Conceptual design

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Advanced human-computer interaction methods for the control of technical systems

Advanced human-computer interaction methods for the control ...

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IEEE International Caracas Conference on Devices, Circuits and Systems

作者： R. Moller Automation and Process Control Engineering Department of Electrical Information Media Engineering University of Wuppertal Wuppertal Germany

Until today humans using computers to control technical systems must learn how to use and interact with a system that only understands numerical input and produces numerical output. This requires a high level of abstraction and causes a loss of necessary "feeling" how the real process works. With multimedia computing technology we are now able to reduce the level of abstraction again. By using all major human senses in combination, that are, auditory, visual, haptic and olfactory modalities, we are able to implement simple and intuitive control applications for technical equipment. This requires new strategies for the design of human computer interaction. The state of development and use of multimodal interactive user interfaces are presented. Aspects and issues of human engineering concerned with the different modalities are discussed and new paradigms of human computer interaction are introduced.

关键词： control systems Automatic control Multimedia systems Human computer interaction Communication system control process control Telecommunication control Computational modeling Streaming media Haptic interfaces

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A new paradigm of interaction for human controlled technical systems

A new paradigm of interaction for human controlled technical...

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International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： R. Moller Automation and Process Control Engineering Department of Electrical In formation Media Engineering University of Wuppertal Wuppertal Germany

This work will present the state of development and use of multimodal interactive user interfaces. Advanced human-to-process communication uses virtual- and augmented-reality-Systems to achieve intuitive process control again. Hypermedia learning systems, catalogs and simulators improve operator skills. All this leads to a new paradigm of human computer interaction. In order to achieve simple and intuitive control of any technical equipment, all abilities of human communication should be efficiently combined.

关键词： Humans control systems Automatic control Communication system control automation process control Biometrics Displays Speech Augmented reality

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Nonlinear process identification and predictive control by multi-parameter models 6

Nonlinear process identification and predictive control by m...

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6th IFAC Symposium on Nonlinear control Systems, NOLCOS 2004

作者： Schmttz, U. Haber, R. Bars, R. Department of Plant and Chemical Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KölnD-50679 Germany Department of Automation and Applied Informatics Budapest University of Technology and Economics Goldmann Gy. ter 3 BudapestH-1111 Hungary

According to the multi-model approach a nonlinear dynamical process is approximated in different working points by local valid linear models. The global valid model output is calculated as the weighted sum of the sub-model outputs. The parameters of the Gaussian weighting function can be chosen by optimization. The computation time can be reduced if instead of the model outputs the parameters (for example static gain and time constant) of the local valid models are merged. The global valid nonlinear model can be used e.g., for model based predictive control. The new, multi-parameter method is illustrated by a heat exchanger example. Copyright © 2004 IEAC.

关键词： Heat exchangers

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Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace

Predicting the product yield profile and cracking degrees in...

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International Conference on control, automation, Robotics and Vision (ICARCV)

作者： Qiang Zhou Jie Zhang Yongmao Xu Institute of Process Control Department of Automation Tsinghua University Beijing Beijing China Centre for process Analytics and Control Technology School of Chemical Engineering & Advanced Materials University of Newcastle Newcastle-upon-Tyne UK

ISBN: (纸本)0780386531

This paper presents two soft-sensing models for predicting the product yields profile and the cracking degree of an ethylene pyrolysis furnace. The model based on single neural network with only one hidden layer trained by Levenberg-Marquardt algorithm with regularisation was first developed. It was found that the single neural network lack generalisation capability in that they can give undesirable performance when applied to unseen data. To improve the generalisation capability of the soft-sensing model, multi-model soft-sensors based on bootstrap aggregated neural networks with sequential training are used. In the sequential training of bootstrap aggregated networks, the first network is trained to minimise its prediction error whereas the rest of the networks are trained not only to minimise their prediction errors but also minimise the correlation among the trained networks. The overall output is obtained by combining all the individual networks. Application results show that the multi-model soft-sensors possess good generalisation capability in that they give good performance when applied to unseen data.

关键词： Furnaces Neural networks process control Predictive models Petrochemicals Chemical industry automation Postal services Chemical analysis Automatic control

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Temperature prediction control based on least squares support vector machines

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control Theory and Technology 2004年第4期2卷 365-370页

作者： Bin LIU, Hongye SU, Weihua HUANG, Jian CHU (National Laboratory of Industrial control Technology, Institute of Advanced process control, Zhejiang University, Yuquan Campus,Hangzhou Zhejiang 310027,China Department of automation, College of Information Science and engineering, Wuhan University of Saence and Technology, Wuhan Hubei 430081, China) National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Yuquan Campus Hangzhou Zhejiang China Department of Automation College of Information Science and Engineering Wuhan University of Science and Technology Wuhan Hubei China

A prediction control algorithm is presented based on least squares support vector machines (LS-SVM) model for a class of complex systems with strong nonlinearity. The nonlinear off-line model of the controlled plant is built by LS-SVM with radial basis function (RBF) kernel. In the process of system running, the off-line model is linearized at each sampling instant, and the generalized prediction control (GPC) algorithm is employed to implement the prediction control for the controlled *** obtained algorithm is applied to a boiler temperature control system with complicated nonlinearity and large time *** results of the experiment verify the effectiveness and merit of the algorithm.

关键词： Predictive control Least squares support vector machines RBF kernel function Generalized prediction control

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Fault Detection and Diagnosis of a Linear Hydraulic Servo Axis

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IFAC Proceedings Volumes 2004年第6期37卷 861-866页

作者： Marco Muenchhof Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-GeorgrStr. 4 D-64283 Darmstadt Germany Phone: + 49 6151 16-7406 FAX: +49 6151 16-74 21

process model based methods to detect faults in a hydraulic linear servo axis by measurement of up to five variables are presented. The faults that are detected include gas enclosures in the hydraulic fluid, such as air, vapour and foam. The control edges and the valve spool are also monitored in order to detect faults such as erosion of the control edges and grooving of the valve spool. Furthermore, the leakage flow between the cylinder chambers and to the surroundings are monitored, which allows to detect damages of the sealing between the cylinder chambers and between the cylinder and the pushrod. The external mechanical load and the valve spool dynamics are also included in the fault detection and diagnosis approach.

关键词： Fault Detection Fault Diagnosis Hydraulic Actuator Parameter Estimation

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Introducing reliability and real-time features in flexible agent-oriented automation systems

Introducing reliability and real-time features in flexible a...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： P.A. Urbano T. Wagner P. Gohner U. Katzke B. Vogel-Heuser Universitat Stuttgart Stuttgart Baden-WÃ¼rttemberg DE Institute of Industrial Automation and Software Engineering University of Stuttgart Germany Institute of Process Control Engineering University of Wuppertal Germany

By means of agent oriented software engineering, flexible, adaptive automation systems can be developed. An open question is, nevertheless, how could the specific requirements on automation systems, in particular related to dependability and real-time features, be considered. In this paper an approach for the integration of such features in the development of flexible agent oriented automation systems is presented

关键词： Real time systems automation Hardware Electrical equipment industry Industrial control process control Programmable control Application software Computer industry Software engineering

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