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FUZZY IDENTIFICATION OF BIOprocessES APPLYING TSK-TYPE MODELS WITH CONSEQUENT PARAMETER ESTIMATION THROUGH ORTHOGONAL ESTIMATOR

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IFAC Proceedings Volumes 2002年第1期35卷 283-288页

作者： Rosimeire Aparecida Jerônimo Claudio Garcia Oscar A.Z. Sotomayor Department of Telecommunications and Control Engineering Laboratory of Automation and Control (LAC) Department of Chemical Engineering Laboratory of Simulation and Process Control (LSCP) Polytechnic School of the University of São Paulo Av. Prof. Luciano Gualberto Trav. 3 n. 158 Cidade Universitária CEP 05508-900 São Paulo - SP Brazil

This paper presents fuzzy identification of two bioprocesses employing TSK-type models. A “Modified Gram-Schmidt” (MGS) orthogonal estimator is used to estimate the consequent parameters. This approach is then applied to identify two distinct cases involving dissolved oxygen concentration: one related to a bioreactor and the other one related to an activated sludge process. The obtained models are then cross-validated.

关键词： System identification Bioprocesses Nonlinear models Fuzzy modeling TSK-type models Modified Gram-Schmidt algorithm Parameter estimation

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NONLINEAR INTERNAL MODEL control FOR MISO SYSTEMS BASED ON LOCAL LINEAR NEURO-FUZZY MODELS

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IFAC Proceedings Volumes 2002年第1期35卷 303-308页

作者： Alexander Fink Oliver Nelles 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 162114 Fax: +49 6151 293445 SiemensVDO Automotive AT PT DTS FDC Osterhofener Str. 14 D-93055 Regensburg Germany

The internal model control (IMC) scheme has been widely applied in the field of process control. So far, IMC has been mainly applied to linear processes. This paper discusses the extension of the IMC scheme to nonlinear processes based on local linear models where the properties of linear design procedures can be exploited. The IMC scheme results in controllers that are comparable to gain-scheduled PI or PID controllers which are the standard controllers in process industry. In practice, the tuning of conventional PI or PID controllers can be very time-consuming whereas the IMC design procedure is very simple and reliable. In this paper, the design effort of the IMC and conventional controller design methods will be discussed and control results will be compared by application to nonlinear control of an industrial-scale heat exchanger.

关键词： Nonlinear control Internal Model control (IMC) Local Linear Models Neuro-Fuzzy Models MISO Systems Heat Exchanger

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Optimization of Internal Thermally Coupled Distillation Columns of Nonideal Mixture

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Chinese Journal of Chemical engineering 2001年第4期9卷 388-394页

作者：刘兴高徐用懋钱积新 Institute of Process Control Engineering Automation DepartmentTsinghua UniversityBeijing 100084China Institute of Industrial Process Control Zhejiang UniversityHangzhou 310027China

Internal thermally coupled distillation column(ITCDIC) is a frontier in energy saving distillation research. In this paper, the optimal assessment on the energy saving and the operating cost for ITCDIC of nonideal mixture is explored. An evaluating method is proposed, and the pertinent optimization model is then derived. The ethanol-water system is studied as an illustrative example. The optimization results show that the maximum energy saving in ITCDIC process is about 35% and the maximum operating cost saving in ITCDIC process is about 30%,as compared with a conventional distillation column(CDIC) under the minimum reflux ratio operating; the optimal operating pressure of the rectifying section is found to be around 0.25 MPa; the effects of the feed composition,operating pressure and the heat transfer rate on operation are also found and analyzed. It is revealed that ITCDIC process possesses high energy saving potential and promising economical prospect.

关键词： ITCDIC optimal assessment energy saving operating cost saving

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Estimation of vehicle velocity based on suspension signals 6

Estimation of vehicle velocity based on suspension signals

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6th European control Conference, ECC 2001

作者： Borner, Marcus Semmler, Sascha Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Georg-Str. 4 DarmstadtD-64283 Germany

ISBN: (纸本)9783952417362

An accurate estimation of the vehicle velocity is one of the greatest challenges in modern vehicle systems. The velocity is needed for the Antilock Braking System (ABS) and Traction control System (TCS) as well as for the Electronic Stability Program (ESP) and cannot be measured directly. Using at least two fist sensors, which measure the vertical frequency component of a front wheel and the related rear wheel, the phase difference between both signals gives knowledge about the velocity of the vehicle. The presented algorithm is based on cross correlation function to estimate the velocity using the sensors described above. Different methods are described which improve both the resolution and the accuracy of the output signal vref. © 2001 EUCA.

关键词： Velocity

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Fault detection of inverter-fed induction motors using a multi-model approach based on neuro-fuzzy models 6

Fault detection of inverter-fed induction motors using a mul...

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6th European control Conference, ECC 2001

作者： Wolfram, A. Isermann, R. Darmstadt University of Technology Institute of Automatic Contro Laboratory for Control Engineering and Process Automation Landgraf-Georg-Strasse 4 DarmstadtD-64283 Germany

ISBN: (纸本)9783952417362

Due to the increasing demands concerning reliability, safety and economy of technical processes, the on-line monitoring of induction motors is an important topic in the engineering field. In this paper, a model-based approach for fault detection and diagnosis of nonlinear processes is employed. The supervision of nonlinear systems is often very difficult in view of the lack of accurate models. However, neuro-fuzzy models may help to cope with this problem, as they can be trained from measured data. In this contribution the application of a multi-model approach for fault detection and diagnosis of induction motors is presented. For this purpose the process is decomposed in several subprocesses. © 2001 EUCA.

关键词： Fault detection

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Automatic segmentation of 3D-MRI data using a genetic algorithm

Automatic segmentation of 3D-MRI data using a genetic algori...

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International Workshop on Medical Imaging and Augmented Reality

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

ISBN: (纸本)0769511139

One of the most interesting recently developed brain activity imaging methods is functional MR imaging (fMRI). The advantages of fMRI, i.e. noninvasiveness, reproducibility and interactivity of examination, must be measured against the problems like data distortion and limited time for examination. A major problem is that most fMRI segmentation procedures are partly interactive. There is a high demand for precisely and automatically working segmentation algorithms in order to get meaningful results within an acceptable short time. This article discusses the use and implementation of a genetic algorithm (GA) as a kernel for an automatic 3D segmentation of gray matter and white matter of a human brain within the procedure of fMRI.

关键词： Genetic algorithms Histograms Image segmentation Nonlinear distortion Kernel Humans Clustering algorithms Filtering algorithms Noise shaping Gaussian approximation

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The Asset Management Box - making information about intelligent field devices accessible without configuration

The Asset Management Box - making information about intellig...

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IEE Seminar on Intelligent and Self-Validating Instruments - Sensors and Actuators (Ref. No. 2001/179)

作者： J. Muller F. Uecker M. Wollschlaeger C. Diedrich U. Epple Process Control Engineering RWTH Aachen Germany Institute of Automation and Communication Ifak Magdeburg Germany

The increasing spread of fieldbus installations in industrial environment leads to increased amount of information and a large number of new innovative functionalities. These are not only important for classical tasks of process control engineering (like plant and process supervision or process control), but also for advanced functions, like synthesised plant data for the economical optimisation of technical system support. The concept of the Asset Management Box (AMBox) is considered, which realises an additional information channel between field and plant control level. This contribution describes the AMBox as an open, configuration-free and manufacturer-independent access to field device functionality for the PROFIBUS-PA fieldbus. Since the configuration data of field devices to perform their functional role is kept, exchanging field devices is possible without need for reconfiguration. Finally, some Asset Management applications of the AMBox are discussed.

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Comparison of different fault detection algorithms for active body control components: automotive suspension system

Comparison of different fault detection algorithms for activ...

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American control Conference (ACC)

作者： M. Borner M. Zele R. Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Darmstadt Germany Department of Computer Automation and Control J. Stefan Institute Ljubljana Slovenia

Fault detection is increasingly an essential part of vehicle development. Integrating such fault detection subsystems raises the reliability, maintainability, and safety of automobile components. Until now, the suspension system was not a safety-critical component, but with the introduction of global chassis control systems this system is getting more important. Therefore, the paper presents fault detection algorithms for the suspension system. Real measurements of a vehicle are made to compare the advantages of the different fault detection algorithms.

关键词： Fault detection Automotive engineering control systems Principal component analysis Vehicle dynamics Automatic control Parameter estimation automation Automobiles Power steering

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Fault detection of inverter-fed induction motors using a multi-model approach based on neuro-fuzzy models

Fault detection of inverter-fed induction motors using a mul...

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European control Conference (ECC)

作者： A. Wolfram R. Isermann Darmstadt University of Technology Institute of Automatic Control Laboratory for Control Engineering and Process Automation Landgraf-Georg-Strasse Darmstadt (Germany)

关键词： Induction motors Rotors Temperature measurement Approximation methods Fault detection Stators Mathematical model

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Quadratic guaranteed cost analysis for a class of nonlinear uncertain systems

Quadratic guaranteed cost analysis for a class of nonlinear ...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Anke Xue Yuesong Lin Youxian Sun- Automation Department Hangzhou Institute of Electronics Engineering Hangzho PRC Institute of Industrial Process Control Zhejiang University Hangzhou PRC

This paper focuses on the problem of quadratic guaranteed cost analysis for a class of nonlinear uncertain systems. Results on the analysis are presented. The robust guaranteed cost bound for the nonlinear uncertainty... 详细信息

关键词： Uncertain systems Cost function Robustness Uncertainty Robust control control systems Linear matrix inequalities Nonlinear control systems Robust stability Partial response channels

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