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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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Performance assessment of model predictive control in industrial distillation column

Performance assessment of model predictive control in indust...

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World Congress on Intelligent control and automation (WCICA)

作者： Maying Yang Xiaoming Jin Fei Chen Automation Department Information Engineering College Zhejiang University of Technology Hangzhou China National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

A synthetical method of multivariable control system performance assessment is proposed in this paper, which uses multivariable minimum variance control (MVC) benchmark to determine the stochastic performance, and normalized multivariate impulse response (NMIR) curve as an alternative measure of performance to test the dynamic performance, and with the help of auto-correlation function (ACF) and cross-correlation function (CCF) to analyse if there are oscillations exist. The method is applied to assess the performance of multivariable predictive control system of industrial distillation column.

关键词： Predictive models Predictive control Industrial control Distillation equipment Electrical equipment industry control systems System performance Benchmark testing Stochastic systems Impulse testing

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A unique paper machine drive system revamp

A unique paper machine drive system revamp

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IEEE Conference Record of 2004 Annual Pulp and Paper Industry Technical Conference

作者： West, Daniel D. Honaker, Darren Barry, Keith Corporate Process Control Sappi Fine Paper North America Box 1600 RR 3 Skowhegan ME 04976 United States TMEIC-GE Automation Systems 1501 Roanoke Blvd Salem VA 24153 United States GE Engineering Services One Community Drive Augusta ME 04330 United States

This paper will review the successful master controller revamp of Sappi Fine Paper North America's #3 Paper Machine at its Skowhegan, Maine mill. The rebuild project included upgrading the press section and increasing the speed of the paper machine by 500 FPM (150 MPM). The existing original drive system had been installed with sectional AC drives. The original drive system was becoming more difficult to maintain due to unavailability of parts and the out-of-date diagnostic system. The revamp involved the re-use of 76 existing drives and the installation of 8 new AC sectional drives. A new master controller was added with an enhanced diagnostic HMI. The new master controller architecture communicated with, controlled and diagnosed the old drives as well as the new drives. The unique combination of existing drives and new drives formed a cohesive system with all of the advantages of a new drive system. A staged installation was performed to reduce the outage time impact. The paper machine rebuild project was completed in March 2003 and has met the expectations of a successful revamp.

关键词： Papermaking machinery

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A unique paper machine drive system revamp

A unique paper machine drive system revamp

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IEEE Pulp, Paper & Forest Industries Conference, (PPFIC)

作者： D.D. West D. Honaker K. Barry Corporate Process Control Sappi Fine Paper North America Skowhegan ME USA TMEIC-GE Automation Systems Salem VA USA GE Engineering Services Augusta ME USA

This paper reviews the successful master controller revamp of Sappi Fine Paper North America's #3 paper machine at its Skowhegan, Maine mill. The rebuild project included upgrading the press section and increasing the speed of the paper machine by 500 FPM (150 MPM). The existing original drive system had been installed with sectional AC drives. The original drive system was becoming more difficult to maintain due to unavailability of parts and the out-of-date diagnostic system. The revamp involved the re-use of 76 existing drives and the installation of 8 new AC sectional drives. A new master controller was added with an enhanced diagnostic HMI. The new master controller architecture communicated with, controlled and diagnosed the old drives as well as the new drives. The unique combination of existing drives and new drives formed a cohesive system with all of the advantages of a new drive system. A staged installation was performed to reduce the outage time impact. The paper machine rebuild project was completed in March 2003 and has met the expectations of a successful revamp.

关键词： Paper making machines Milling machines Systems engineering and theory USA Councils control systems Communication system control engineering management process control North America automation

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Nonlinear process identification and predictive control by multiparameter models

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IFAC Proceedings Volumes 2004年第13期37卷 1319-1324页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Chemical Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Koln Betzdorfer Str. 2. Germany fax: +49-22J-8275-2836 Department of Automation and Applied Injormatics Budapest University of Technology and Economics H-1111 Budapest Goldmann Gy. tér 3. Hungary fax: +36-1-463-2871

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.

关键词： process identification nonlinear models multi-model predictive control heat exchanger

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The asset management box

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Computing and control engineering Journal 2003年第1期14卷 34-39页

作者： Müller, J. Uecker, F. Wollschlaeger, M. Diedrich, Ch. Epple, U. Dept. of Process Control Engineering RWTH Aachen Aachen Germany IFAK Institute of Automation and Commun. Magdeburg Germany

In the process industry, engineering functions for the administration and optimization of devices are gaining importance in comparison with process control functions. Thus, the term 'asset optimization' is often used to describe techniques that exploit the full potential of plant assets. This applies in particular to field devices used in production processes. This paper presents the asset management box (AMBOX) which is an open, configuration-free and manufacturer-independent access to field device functionality for the Profibus-PA Fieldbus, creating an additional information channel between field and plant control level.

关键词： Data communication systems

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Model-based fault detection and diagnosis for hydraulic braking systems 5

Model-based fault detection and diagnosis for hydraulic brak...

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5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Straky, Harald Muenchhof, Marco Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Georg-Str. 4 DarmstadtD-64283 Germany

This paper describes fault detection and diagnosis techniques for a hydraulic passenger car braking system. First, a model of the hydraulic braking system is derived in state space representation. This model is subsequentlyemployed for fault detection and diagnosis. Fault detection is based on the calculation of the loss volume, i.e. the amount of brake fluid consumed due to the presence of a fault. The type of fault is determined by means of a correlation analysis approach. Furthermore, the location of the fault can also be determined. This is accomplished by analyzing the master brake cylinder pressure signals. The paper also presents numerical results of data recorded at a braking system testbed which illustrates the feasibility of the proposed approaches. © 2003 International Federation of Automatic control.

关键词： Fault detection

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