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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： YONG-WEI DING FENG DONG School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Process Measurement and Control Tianjin 300072 China

An image reconstruction algorithm based on regularization optimization for process Tomography is proposed in this *** the comparison of the images reconstructed by Linear Back Projection algorithm, Sensitivity Coefficient algorithm, singular value decomposition algorithm and the regularization optimization algorithm proposed in this paper, it is apparent that images can be reconstructed clearly and quickly by the regularization optimization *** regularization optimization algorithm is a very good image reconstruction algorithm both in image quality and the reconstruction speed.

关键词： Image reconstruction Linear back projection algorithm Sensitivity coefficient algorithm Singular value decomposition algorithm Regularization optimization

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DESIGN OF HIGH SPEED CROSS SECTION MEASUREMENT SYSTEM AND ITS REAL-TIME PERFORMANCE ANALYSIS

DESIGN OF HIGH SPEED CROSS SECTION MEASUREMENT SYSTEM AND IT...

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： CHAO TAN FENG DONG BIN-BIN WANG School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Process Measurement and Control Tianjin 300072 China

This paper presents the development of a new cross section measurement system for on-line measurement of two-phase *** improve the real-time performance of the cross section measurement system, the parallel data acquisition system is designed, which has 16 channels of amplifiers, 16 channels of demodulators and filters, and AD card with 16 channels, can get the boundary voltage from 16 electrodes *** with the parallel data acquisition system, the former systems need to get the boundary voltage one by one, by this system the real-time performance is improved obviously, this system costs only 1/13 of the former system processing time. Several units of the system are analyzed, the principle of the multiplication demodulation was analyzed, especially, the low pass filter was analyzed, which costs most time of the data acquisition *** system performance is analyzed, a data acquisition speed at approximately 1000 dual-frames per second can be achieved.

关键词： Cross section measurement system Parallel data acquisition system Real-time performance Multiplication demodulation Low pass filters

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OPTIMIZATION DESIGN OF ELECTRICAL RESISTANCE TOMOGRAPHY DATA ACQUISITION SYSTEM

OPTIMIZATION DESIGN OF ELECTRICAL RESISTANCE TOMOGRAPHY DATA...

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： FENG DONG ER-PING LI BIN-BIN WANG School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Process Measurement and Control Tianjin 300072 China

The process tomography based on electrical sensitive principles is a new technology which aims at section information measurement Electrical Resistance Tomography is one kind of process tomography which is based on electrical sensitive *** has advantages of being non-intrusive, non-radiate, online visual monitoring and low in cost There are some disadvantages in data acquisition speed, stability and reliability in the existing ERT *** at these problems, a new ERT data acquisition system based on digital I/O card and A/D conversion card is developed;every other module of the ERT system make an improvement: the system backboard uses an user-defined bus;the sine-wave generator module use a DDS chip to generate signals whose phase, amplitude and frequency can change easily;a multiplication demodulation which can be controlled easily has been used to improve the transition speed. By calculation, the data acquisition speed of the system has been *** structure is simple, so the stability and reliability is better than before.

关键词： Electrical Resistance Tomography Data acquisition system Optimum design

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IDENTIFICATION METHODS FOR EXPERIMENTAL NONLINEAR MODELING OF COMBUSTION ENGINES

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IFAC Proceedings Volumes 2007年第10期40卷 351-357页

作者： Alexander Schreiber Rolf Isermann Darmstadt University of Technology Institute of Automatic Control Laboratory of Control Engineering and Process Automation Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany Phone: +49 6151 16 2114 Fax: +49 6151 16 6114

The optimized control of combustion engines with regard to minimized fuel consumption and emissions requires nonlinear models. Because of an increase of control inputs, like fuel mass flow, injection angle, exhaust gas recirculation flow and several outputs like torque, nitrogen oxides (NOx), hydrocarbons (HC) and particulates the classical grid-based measurement techniques take too long time and do not include dynamics. Therefore different measurement strategies for the stationary and dynamic behavior are described, like Design of Experiments (DoE) and use of suitable neural networks and Pseudo-Random-Binary-Signals (PRBS). As the structure of the models is not precisely known a-priori, nonlinear identification methods in form of special versions of neural networks are good candidates. Therefore, it will be shown how with special amplitude-modulated pseudo random binary signals (APRBS), simultaneous excitation of several input signals, nonlinear multi-input multi-output models can be obtained in relatively short time.

关键词： Engine modeling nonlinear models neural networks dynamic modeling test generation

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Analysis and assessment of stress in two typical drawing tube headers

Analysis and assessment of stress in two typical drawing tub...

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ASME PVP2006/ICPVT-11 Conference

作者： Zengliang, Gao Jie, Chen Gangsi, Cai Xin, Ren Qing, Li Zhejiang University of Technology Institute of Process Equipment and Control Engineering MOE Key Laboratory of Mechanical Manufacture and Automation Hangzhou 310032 China

ISBN: (纸本)0791837823

Finite element analysis and stress measurement are carried out for two typical drawing tube headers, which is a new kind of tube header without fillet weld. The material of the drawing tubes and header is SA335-P91. Two cases, normal operating condition (case 1) and cold start up condition (case 2), are analyzed. The maximum stresses are located in the inner corner of the drawing tube for one row of tube header, while the maximum stresses for both cases are located in the inner corner of the cover plate for two row of tube header. The stresses at the drawing tube for both cases meet ASME requirement for stress for both drawing tube headers. Fatigue life of the two row of drawing tube header is more than 10 cycles. Copyright © 2006 by ASME.

关键词： Piping systems

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control of a distillation column: A decentralized approach

Control of a distillation column: A decentralized approach

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IEEE International Conference on Computer-Aided Design

作者： Iman Makaremi Batool Labibi Advanced Automation and Digital Control Laboratory Control Department Electrical Engineering Faculty K.N. Toosi University of Technology Tehran Iran Process Control Laboratory Control Department Electrical Engineering Faculty K.N. Toosi University of Technology Tehran Iran

This paper presents a decentralized controller for a binary distillation column. The interactions between subsystems are considered as uncertainty. Then appropriate local H infin problems are defined such that by solving them and applying the designed controller to the system, closed-loop stability and diagonal dominance are guaranteed

关键词： Distillation equipment control systems MIMO Distributed control Uncertainty Stability Digital control Automatic control Isolation technology process control

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Method of surface EMG pattern recognition based on AR parameter model and clustering analysis

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Jiliang Xuebao/Acta Metrologica Sinica 2006年第3期27卷 286-289页

作者： Cui, Jian-Guo Wang, Xu Li, Zhong-Hai Tian, Feng Key Laboratory of Process Industry Automation of Ministry of Education Northeastern University Shenyang 110004 China Department of Automation Control Shenyang Institute of Aeronautical Engineering Shenyang 110034 China

Surface electromyography (SEMG) is a bio-electrical manifestation related to neuromuscular activation. Electromyography pattern recognition plays an important role in SEMG application. A new SEMG pattern recognition method based on AR parameter model and clustering analysis is proposed. Four channel SEMG signals from corresponding muscles (palmaris longus, brachioradialis, flexor carpi ulnaris, biceps brachii) are picked up and analyzed with AR model parameter. Using AR model parameters as signal characteristics, an eigenvector is composed and inputted to the Mahalanobis distance classifier to identify different movement patterns. Eight movement patterns (hand grasps, hand extension, wrist circumrotates entad, wrist circumrotates forth, wrist bends, wrist spreads, forearm circumrotates entad, forearm circumrotates forth) are successfully identified. Experiments show that the proposed method performs very well and the recognition result is robust. It is believed that this method can be straightforwardly expanded to other nonstationary bioelectric signals pattern recognition study.

关键词： Autoregressive (AR) parameter model Clustering analysis Metrology Pattern recognition Surface electromyography

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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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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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