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DATA FUSION FOR PRECISE DEAD-RECKONING OF PASSENGER CARS

IFAC Proceedings Volumes 2002年第1期35卷 397-402页

作者： M. Kochem N. Wagner C.-D. Hamann R. Isermann University of Technology Darmstadt Institute of Automatic Control Laboratory for Control Engineering and Process Automation International Technical Development Center (ITDC) Adam Opel AG Rüsselsheim

This paper investigates the possibility of computing the actual position of a passenger car based on different independent internal signals available in a production car. A new front wheel based dead reckoning approach is compared to a model based approach as well as to an Extended Kalman Filter. Depending on the method the input signals are the wheel revolutions of the front wheels, the steering angle and the yaw rate. Experimental results show the quality of all three algorithms compared to position data obtained by a DGPS system and also to the well known rear wheel based dead reckoning approach.

关键词： vehicle navigation odometry Extended Kalman filter data fusion automotive parking assistance system sensor fusion

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Nonlinear internal model control for MISO systems based on local linear neuro-fuzzy models 15th

Nonlinear internal model control for MISO systems based on l...

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15th World Congress of the International Federation of Automatic control, 2002

作者： Fink, Alexander Nelles, Oliver Isermann, Rolf Darmstadt University of Technology Institute of Automatic Control Laboratory of Control Engineering and Process Automation Landgraf-Georg-Str. 4 DarmstadtD-64283 Germany Siemens VDO Automotive AT PT DTS FDC Osterhofener Str. 14 RegensburgD-93055 Germany

ISBN: (纸本)9783902661746

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. Copyright © 2002 IFAC.

关键词： controllers

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Monitoring of an industrial dearomatisation process 15th

Monitoring of an industrial dearomatisation process

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15th World Congress of the International Federation of Automatic control, 2002

作者： Bergman, S. Sourander, M. Jämsä-Jounela, S.-L. Neste Engineering Oy P.O. Box 310 PorvooFIN-06101 Finland Laboratory of Process Control and Automation Helsinki University of Technology P.O. Box 6100 HUTFIN-02015 Finland

ISBN: (纸本)9783902661746

process monitoring methods have been studied widely in recent years, and several industrial applications have been published. Early detection and identification of abnormal and undesired process states and equipment failures are essential requirements for safe and reliable processes. This helps to reduce the amount of production losses during abnormal events. In this paper, statistical multivariate methods and neural networks applied in monitoring of an industrial dearomatisation process are compared. No appriori process knowledge for the methods were assumed. The data for the comparison were generated with a dynamic simulator model of the process. Special emphasis was put on a case of internal leak in a heat exchanger. Copyright © 2002 IFAC.

关键词： Statistical process control

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Optimal energy cost in ideal internal thermally coupled distillation columns

Optimal energy cost in ideal internal thermally coupled dist...

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American control Conference (ACC)

作者： Xinggao Liu Yongmao Xu Jie Zhang Jixin Qian Institute of Process Control Engineering Department of Automation Tsinghua University Beijing China Department of chemical and Process Engineering University of Newcastle Newcastle-upon-Tyne UK Institute of Industrial Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780372980

Internal thermally coupled distillation column (ITCDIC) is the frontier of energy saving distillation research. In the paper, an evaluation method on operating cost and its saving in the ITCDIC processes of ideal mixtures is presented. A mathematical model for optimization is first derived. The benzene-toluene system is studied as an illustrative example. The optimization results show that the energy cost saving potential is close to 40% and annual energy cost saving is about 0.3 million dollars compared with the operating cost of a conventional distillation column operated at the minimum reflux ratio. The process analysis is also carried out. The optimal operating conditions and some useful results are obtained. These pave the way for the smooth operation and the further optimal design of ideal ITCDIC processes.

关键词： Cost function Distillation equipment Heat sinks Chemical industry process control Power engineering and energy Chemical processes Mathematical model Potential energy Temperature

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SEMI-PHYSICAL MODELLING OF NONLINEAR processES BY MEANS OF LOCAL MODEL APPROACHES

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IFAC Proceedings Volumes 2002年第1期35卷 61-66页

作者： Susanne Töpfer Armin Wolfram Rolf Isermann Darmstadt University of Technology Institute of Automatic Control Laboratory for Control Engineering and Process Automation Landgraf-Georg-Strasse 4 D-64283 Darmstadt (Germany) Phone: (+49) 6151 162114 Fax: (+49) 6151 293604

For many practical applications, a combination of theoretical and experimental modelling appears feasible. Qualitative knowledge about the most significant effects are often known or easily accessible. This contribution suggests a semi-physical modelling approach based on the special architecture of local models. Due to their inherent transparency, these models are very well suited for the incorporation of mainly qualitative process knowledge. The integration of prior knowledge is realised by an adaptation of the model structure to that one of the process. As a result, the final process-specific models are characterised by high generalisation performance also in situations with only few measurement data.

关键词： System identification Physical modelling Neural networks Fuzzy systems

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Jerk limited time optimal control of multi-input systems

Jerk limited time optimal control of multi-input systems

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American control Conference (ACC)

作者： M. Muenchhof T. Singh Department of Mechanical and Aerospace Engineering SUNY at Buffalo Buffalo NY USA Institute of Automatic Control Laboratory of Control Systems and Process Automation University of Technology Darmstadt Darmstadt Germany

A design method for determining control sequences for rest-to-rest maneuvers of flexible structures with multiple actuators and multiple resonant modes is described. The problem formulation. is based on a pole cancellation approach with constraints on both the magnitude and the time rate of change of the control inputs. Time-optimality can be traded for an increased level of robustness with respect to modeling errors. Robustification is achieved by placing additional zeros of the controller on some or all of the resonant poles of the system.

关键词： Optimal control control systems Actuators Automatic control Resonance Sampling methods Aerospace engineering Design methodology Flexible structures Robustness

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controller performance assessment and monitoring - theory and its applications

Controller performance assessment and monitoring - theory an...

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World Congress on Intelligent control and automation (WCICA)

作者： Maying Yang Xiaoming Jin Automation Department Information engineering College Zhejiang University of Technology Hangzhou China Institute of Advanced Process Control University of Zhejiang Hangzhou China

controller performance assessment is a challenging task in industrial process control. In this work, we review the state of research in controller performance assessment and monitoring, and present some commercial implementations of the technology in process industries. Challenges related to the controller performance evaluation are outlined for research and applications.

关键词： Automatic control automation process control Educational institutions Industrial control Computerized monitoring Intelligent control

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A MODEL BASED SUPERVISION SYSTEM FOR THE HYDRAULICS OF PASSENGER CAR BRAKING SYSTEMS

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IFAC Proceedings Volumes 2002年第1期35卷 193-198页

作者： Harald Straky Marco Münchhof Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany Phone: +49 6151 16-7412 FAX: +49 6151 16-7421

This paper presents the design of a model-based supervision and diagnosis system for hydraulic and future electro-hydraulic passenger car braking systems. A state space model of the braking system has been derived, which allows calculation of the individual wheel brake cylinder pressures as well as the amount of brake fluid consumed due to faults in the braking system. Based on this model, a real-time supervision system has been developed, which allows early detection and diagnosis of leakages and air entrapments in the hydraulic subsystem. This supervision system only requires data of sensors which are already available in modern passenger cars.

关键词： brakes hydraulic electro-hydraulic fault detection fault diagnosis

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MONITORING OF AN INDUSTRIAL DEAROMATISATION process

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IFAC Proceedings Volumes 2002年第1期35卷 331-336页

作者： S. Bergman M. Sourander S-L. Jämsä-Jounela Neste Engineering Oy P.O. Box 310 FIN-06101 Porvoo Finland Laboratory of Process Control and Automation Helsinki University of Technology P.O. Box 6100 FIN-02015 HUT Finland

This paper is concerned with the statistical analysis of closed loop data for diagnosing the causes of poor control loop performance. Higher Order Statistical (HOS) techniques have been developed over the last two decades, but until now have not been applied to the area of process monitoring. The main contribution of this work is to utilize the higher order statistical tools such as cumulants and their frequency domain counterparts (bispectrum, bicoherence, trispectrum) to detect and quantify the non-Gaussianity and nonlinearity of regulated processes or control error variables which are sometimes the main contributors to the poor performance of many of the control loops. The bicoherence index together with the process and manipulated variable plots are used to diagnose the sources of system nonlinearities. Successful application of the proposed method is demonstrated on simulated as well as industrial data.

关键词： stiction bispectrum cumulants bicoherence control loop performance

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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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