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World Congress on Intelligent control and Automation

作者： Jinliang Ding Tianyou Chai Puya Afshar Hong Wang The State Key Laboratory of Synthetical Automation for Process Industry Northeastern University The Control Systems Centre School of Electrical and Electronic Engineering The University of Manchester

ISBN: (纸本)9781467313971

Due to the increasing cost of energy and the demand of reducing the environmental footprints, energy saving is becoming an important subject in the industry operation. To realize the energy consumption optimization of papermaking, the energy model should be established while the product quality and process model also need to be constructed, which are taken as the constraints for optimization. This paper describes the identification of a forming section of paper machines with Multilayer Perception (MLP) Neural Networks. The process model, product quality model and energy consumption model are established for the energy saving in papermaking. The real industrial step tests are performed and the data are used to model training and validation. The models are validated by means of mean-squared error (MSE), fit measure and Akaike's Final Prediction Error (FPE). The results show the effectiveness of the established models, which are suitable for the next work of energy optimization.

关键词： Paper Making Forming Section Nonlinear Modelling Energy Saving

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process Development for a High-throughput Fine Line Metallization Approach Based on Dispensing Technology

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Energy Procedia 2013年 43卷 111-116页

作者： M. Pospischil M. Klawitter M. Kuchler J. Specht H. Gentischer R. Efinger C. Kroner M. Luegmair M. König M. Hörteis C. Mohr L. Wende J. Lossen M. Weiß O. Doll I. Koehler R. Zengerle F. Clement D. Biro Fraunhofer Institute for Solar Energy Systems (ISE) Heidenhofstr. 2 79110 Freiburg Germany Karlsruhe Institute of Technology (KIT) Institute for Mechanical Process Engineering and Mechanics Gotthard-Franz-Str. 3 Geb. 50.31 D-76131 Karlsruhe Germany Heraeus Precious Metals GmbH & Co. KG Thick Film Materials Division Business Unit Photovoltaics Heraeusstr 12-14 D-63450 Hanau Germany ASYS Automatisierungssysteme GmbH Solar & New Technologies Benzstr. 10 D-89160 Dornstadt Germany Bosch Solar Energy AG Robert-Bosch-Str. 1 D-99310 Arnstadt Germany Merck KGaA Performance Materials Division Postcode Q004/001 Frankfurter Str. 250 D-64293 Darmstadt Germany Department of Microsystems Engineering – IMTEK University of Freiburg Georges-Köhler-Allee 103 79110 Freiburg Germany

In order to enhance prosperous dispensing technology towards an industrial application, besides a continuous process development, especially throughput rate has to be increased. In this study, paste rheology of two different dispensing pastes was transferred to CFD-simulation (CFD: Computational Fluid Dynamics) to investigate different nozzle geometries and print head designs. In the following, a single nozzle dispensing setup was used to verify simulative values by comparing them with those obtained from experimental investigations. Consequently, the single nozzle process was scaled to a parallel application, where a homogeneous pressure and flow distribution within the print head turned out to be crucial to achieve a homogeneous mass flow at all nozzles. In various iteration steps, the influence of fabrication tolerances especially concerning the nozzle geometry was isolated and print head designs were optimized based on CFD towards maximum process stability. Based on these results, a novel 10 nozzle fine line dispensing unit was designed and fabricated. Finally, successful cell production with resulting finger widths of less than 35 μm could be demonstrated using the novel prototype.

关键词： metallization paste rheology CFD-simulation dispensing crystalline silicon solar cells

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A Bias-Eliminated Subspace Identification Method for Errors-in-Variables systems

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IFAC Proceedings Volumes 2012年第15期45卷 166-171页

作者： Tao Liu AVT-Process Systems Engineering RWTH Aachen University Turmstrasse 46 Aachen 52064 Germany Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 P.R. China

For model identification of industrial operating systems subject to noisy input-output observations, known as the error-in-variables (EIV) problem, a subspace identification method is proposed in this paper by developing an orthogonal projection approach to guarantee consistent estimation of the deterministic part of such a system. The rank condition for such orthogonal projection is analyzed in terms of the nominal state-space model structure. Using the principal component analysis (PCA), the extended observability matrix and low triangular block-Toeliptz matrix of the state-space model are analytically derived. Accordingly, the system state-space matrices can be retrieved in a transparent manner from the above matrices through linear algebra or an ordinary least-squares (LS) algorithm. A benchmark example used in the existing references is adopted to demonstrate the effectiveness and merit of the proposed subspace identification method.

关键词： Subspace identification Errors-in-variables system Extended observability matrix Orthogonal projection Least-squares algorithm

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An entropy approach to filtering for networked control systems

An entropy approach to filtering for networked control syste...

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作者： Zhang, Jianhua Du, Lilong Wang, Aiping Wang, Hong School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Institute of Computing Sciences Anhui University Hefei China Control Systems Centre University of Manchester Manchester M601QD United Kingdom Key Laboratory of Integrated Automation of Process Industry Ministry of Education and Research Center of Automation Northeastern University Shenyang China

This paper is concerned with minimum error entropy filter design for non-linear Networked control systems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaussian, the filter is designed under the information theoretic learning frame. The convergent condition of the proposed filter is established. A simulation example shows that the proposed approach is feasible and effective. Copyright © 2012 Inderscience Enterprises Ltd.

关键词： Entropy

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Optimal experimental design for mechanistic nonlinear dynamic models using multisine inputs: application to a Diesel engine.

Optimal experimental design for mechanistic nonlinear dynami...

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American control Conference

作者： I. Stamati D. Telen F. Logist E. Van Derlinden M. Hirsch T. Passenbrunner J. Van Impe Katholieke Universiteit Leuven - Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control Leuven Belgium Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria

ISBN: (纸本)9781457710957

For many applications first-principles nonlinear dynamic models are preferred by practitioners. Parameter estimation for these models is often a non-trivial and time consuming task. The use of optimally designed dynamic inputs can reduce the experimental burden and increase the accuracy of the estimated parameters. Traditionally, piecewise polynomial input sequences are exploited for this purpose. In contrast, this paper proposes optimal experiment design with the use of random phase multisine inputs, which are typically used for black box model identification. The main motivations are (i) the practical requirement that the inputs have to be concentrated around an operating point, and (ii) the fact that fast dynamics have to be included in the input profile without introducing a large number of discretization parameters. Moreover, multisines can be designed to excite exclusively a specific frequency band of interest. As an illustration, optimal inputs are designed and validated experimentally for estimating the parameters important for the dynamical behaviour of a Diesel engine air path model.

关键词： Mathematical model Optimization Atmospheric modeling Parameter estimation White noise Diesel engines Sensitivity

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A Tighter Reachable Set Bound for Linear systems Subject to both Discrete and Distributed Delays

A Tighter Reachable Set Bound for Linear Systems Subject to ...

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IEEE Annual Conference on Decision and control

作者： Zhiqiang Zuo Youhua Fu Yijing Wang Chanying Li Michael Z. Q. Chen Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Academy of Mathematics and Systems Science Chines Academy of Sciences Department of Mechanical Engineering The University of Hong Kong

ISBN: (纸本)9781467320658

The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.

关键词： delay distribution Linear system discrete element Ellipsoid complexity classes Bound Set (Psychology)

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On The Geometry of Equilibrium Solutions of Kinetic systems Obeying the Mass Action Law 1

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IFAC Proceedings Volumes 2012年第15期45卷 469-474页

作者： Antonio A. Alonso Gábor Szederkényi (Bio)Process Engineering Group IIM-CSIC Spanish National Research Council C/Eduardo Cabello 6 36208 Vigo Spain Systems and Control Laboratory MTA SZTAKI Kende u. 13-17 H-1111 Budapest Hungary

In this contribution the problem relating dynamic behavior and parameter values for weakly reversible chemical reaction networks (CRNs) that obey the mass action law is revisited. The approach is founded on previous methods and results discussed in [15, 16] for weakly reversible CRNs. Two new research directions are however undertaken in this study, one of them exploits an alternative factorization of the Kernel of the Kirchhoff matrix A k which in a natural way links complex balance with zero deficiency. The other one intends to use the convex structure of the so-called family of solutions described in [15] on the space of reaction channels.

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Improving copper matte grade control in a concentrate flash furnace

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IFAC Proceedings Volumes 2012年第23期45卷 13-18页

作者： Luis Bergh Iván Cornejo Fernando Romero Cristian Sulzer CASIM Automation and Supervision Centre for Mineral Industry Chemical Engineering Department Santa Maria University Valparaiso Chile (e-mail: luis.bergh@usm.cl) Process Control Manager Anglo American Chile Santiago Chile Chagres Division Anglo American Chile Santiago Chile

The copper matte grade (CMG) variation in a flash furnace depends on bath temperature, phase levels, ratio of oxygen to sulfur, iron and copper content on the feed, and tonnage ratio of silica flux and feed, among others. The CMG is obtained from laboratory analysis of samples taken when the matte is tapped out from the furnace. Then the CMG is known with a time delay of 1–2 hours, almost every one hour. Since feed characteristics usually change during this period, any feedback control of CMG cannot reduce enough the grade variability. On the other hand, it was shown that main disturbances are coming with the composite feed tonnage and composition, being the powder tonnage control system the main contribution. A new calibration system was proposed and implemented. During an evaluation period of 60 days, it was found that the standard deviation of the CMG was reduced in 25%. This improvement can be explained considering two effects. First, the stabilization of the total feed tonnage that affect the mass balance in the furnace. Second, even when the powder tonnage is only 7% of the total tonnage, its special chemical composition contributed to increase the copper content in the matte. The stabilization of the furnace operation also improved the phase separation, as well as reduced the variance of the gas SO 2 composition and flow rate. The operators took advantage of this reduced variability to increase the fusion rate and thus the mean generated gas flow rate in the furnace, without violating the plant constraints. One important conclusion is that this result will permit to increase the average value of CMG, when the development of the virtual sensor of feed composition is completed and when this estimation becomes part of a FF-FB control.

关键词： flash furnace control industrial data pyrometallurgy

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Effects of operating parameters on oxidative coupling of methane over Na-W-Mn/SiO_2 catalyst at elevated pressures

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Journal of Natural Gas Chemistry 2011年第2期20卷 204-213页

作者： Jafar Sadeghzadeh Ahari Mohammad Taghi Sadeghi Saeed Zarrinpashne Process Simulation and Control Laboratory Chemical Engineering College Iran University of Science and Technology (IUST) Gas Research Division-Research Institute of Petroleum Industry (RIPI)

The effects of operating parameters on oxidative coupling of methane （OCM） over Na-W-Mn/SiO2 catalyst have been studied at elevated pressures of 0.2, 0.3 and 0.4 MPa under low gaseous hourly space velocity （GHSV） and low temperature conditions. Experimental results show that when the operating pressure is increased, C2＋ yield slightly decreases, while the maximum ratio of ethylene to ethane remains unchanged. Moreover, it has been found empirically that increase of pressure does not affect the catalyst behavior permanently, the catalyst recovers its original low pressure performance without hysteresis behavior by reducing the pressure. Under the investigated conditions, when oxygen is completely consumed, the increase of GHSV leads to improvement in C2 selectivity, while C3＋ and COx selectivities decrease slightly. The C2＋ selectivity increases by increase of nitrogen diluent in the feed, but the C3＋ hydrocarbons selectivities decrease with increase of nitrogen since it is possible that further dilution at high pressure may reduce the probability of collision between CH3 and C2＋ hydrocarbons. During the stability test at high pressure, the catalyst performance remains unchanged throughout the 20 h running. The fresh and used catalysts were characterized using XRD, SEM and N2 adsorption-desorption methods. It was found that the phase transformation of the support from α-cristobalite to tridymite and quartz does not have obvious effect on catalyst performance at high pressure.

关键词： operating parameters oxidative coupling of methane Na-W-Mn/SiO2 catalyst elevated pressure

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Development of gauge control technology on tandem cold mill combined with pickling line

SEAISI Quarterly (South East Asia Iron and Steel Institute)

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SEAISI Quarterly (South East Asia Iron and Steel Institute) 2012年第3期41卷 59-63页

作者： Koizumi, Shigeto Kobayashi, Masanori Morimoto, Yoshio Murakami, Akira Sano, Kenichi Process Engineering Development Section Kakogawa Works KOBE STEEL Ltd. Kakogawa Japan Control Technology Research Section Technical Development Group KOBE STEEL Ltd. Kobe Japan Cold Rolling Division Kakogawa Works KOBE STEEL Ltd. Kakogawa Japan

The combined pickling and tandem cold mill (PTCM) is the main cold rolling plant of Kakogawa Works. Because gauge accuracy is one of the most important subjects, the multi valuable automatic gauge control system (MV-AGC) has been installed. As MV-AGC is a very effective system to keep gauge accuracy in longitudinal direction of the coil, the more the applied ratio of MV-AGC is, the shorter the off gauge length is. For applying MV-AGC widely, the tension reference pattern, that is the target value of the tension of MV-AGC at acceleration and deceleration stage, is optimized by numerical method. Through the actual operation, it is shown that applying the MV-AGC with the proper tension reference pattern has reduced the gauge deviation and the off gauge length at head to tail of the cold rolled strip.

关键词： Gages

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