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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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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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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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Component Based Tele-Diagnosis Approach to a Textile Machine

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IFAC Proceedings Volumes 2001年第9期34卷 157-162页

作者： 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 167407 Fax: (+49) 6151 293604

The detection and diagnosis of faults in technical systems is of great practical significance. With the help of recent data transfer techniques, service technicians must not necessarily be on-site in order to diagnose the cause of failure. Therefore tele-diagnosis can be defined as a service making use of modern communication channels. However, further progress can be achieved by automating the supervision task. An early detection of faults may help to avoid product deterioration, performance degradation, major damage to the machinery itself and damage to human health or even loss of lives. Furthermore, by employing modern diagnostic systems, faults can even be detected before they lead to a partial or total failure of the plant. This information can be utilised to plan maintenance cycles and thus to minimise plant outages. Within this paper a component-based plant monitoring approach is proposed which relies on the idea that the supervision of complex plants can take place in the individual components.

关键词： Fault Detection and Diagnosis Tele-diagnosis Component-based Maintenance on Demand

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Influences of Braking System Faults on the Vehicle Dynamics

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IFAC Proceedings Volumes 2001年第1期34卷 113-118页

作者： Harald Straky Michael Kochem Jürgen Schmitt Rainer Hild 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: +496151 16-7412. FAX: +496151 16-7421

From a safety point of view the braking system is, besides the driver, one of the key subsystems in a car. The driver, as an adaptive control system, might not notice small faults in the hydraulic part of the braking system and sooner or later critical braking situations, e.g. due to a brake-circuit failure, may occur. Most of the drivers are not capable to deal with such critical situations. Therefore this paper investigates the influence of faults in the braking system on the dynamic vehicle behavior and the steering inputs of the driver to keep the vehicle on the desired course.

关键词： vehicle dynamics hydraulics brakes failure

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Nonlinear Identification and Adaptive control of Combustion Engines

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IFAC Proceedings Volumes 2001年第14期34卷 1-12页

作者： Rolf Isermann Norbert Müller Darmstadt University of Technology Institute of Automatic Control Laboratory of Control Systems and Process Automation Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany Tel: +49/6151-162114 Fax: +49/6151-293445

Advanced engine control systems require accurate models of the thermodynamic-mechanical process, which are substantially nonlinear and often time-variant. After briefly introducing the identification of nonlinear processes with grid-based look-up tables and a special local linear Radial Basis Function network (LOLIMOT), a comparison is made with regard to computation effort, storage requirements and convergence speed. A new training algorithm for online adaptation of look-up tables is introduced which reduces the convergence time considerably. Application examples and experimental results are shown for a multidimensional nonlinear model of NOx emissions of a Diesel engine, and for the adaptive feedforward control of the ignition angle of a SI engine.

关键词： Engine control Learning systems Identification Neural networks Feedforward control

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Nonlinear internal model control based on local linear neural networks

Nonlinear internal model control based on local linear neura...

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IEEE International Conference on Systems, Man and Cybernetics

作者： A. Fink O. Nelles Institute of Automatic Control Laboratory of Control Systems and Process Automation Darmstadt University of Technology Darmstadt Germany AT PT DTS FDC Siemens VDO Automotive AG Regensburg Germany

The internal model control (IMC) scheme has been widely applied in the field of process control. This is due to its simple and straightforward controller design procedure as well as its good disturbance rejection capabilities and robustness properties. 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 the linear design procedures can be exploited directly. The resulting controllers 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. In this paper, the design effort of the nonlinear IMC and conventional controller design methods are discussed and the control results are compared by applying it to a Hammerstein process and nonlinear temperature control of a heat exchanger.

关键词： Neural networks automatic control process control Temperature control Electronic mail Three-term control process design Low pass filters Laboratories control system synthesis

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On-Line Fault Detection of Inverter-Fed Induction Motors Using Advanced Signal processing Techniques

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IFAC Proceedings Volumes 2000年第11期33卷 1119-1124页

作者： 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 (Germany) Phone: (+49) 6151 167406 Fax: (+49) 6151 293604

Due to the increasing demands concerning reliability, safety and economy of technical processes, on-line fault detection of induction motors is an important topic in the engineering field. Approaches, based on the spectral analysis of motor currents have been frequently proposed. The main drawback of these approaches has been the restriction on induction machines fed by power supplies with constant frequency. Due to the progress in semiconductor technology and power electronics, inverter-fed induction motors providing a wide speed range are more and more employed. This paper proposes the basics of a nonlinear time-domain transformation which is capable of applying the same spectral analysis scheme for different speeds. Finally, experiments are shown for the detection of insulation failures in the stator windings.

关键词： Induction Motor Inverter Fault Detection Time Warping Signal Analysis Stator Currents Insulation Failure Field-Oriented control

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A Smart Actuator with Model-Based FDI Implemented on a Microcontroller

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IFAC Proceedings Volumes 2000年第26期33卷 995-1000页

作者： Olaf Moseler Markus Müller Darmstadt University of Technology Institute of Automatic Control Laboratory of Control Engineering and Process Automation Landgraf-Georg-Strasse 4 D-64283 Darmstadt Germany Phone: +49 - 6151- 167404 Fax: +49 - 6151 - 293604

The device under consideration drives a cabin pressure control valve of modern passenger aircrafts. It is already provided by a wide range of built-in tests. However, these tests do not allow a deep diagnosis of the actuator. Therefore in this paper a model-based approach for detecting and isolating faults is presented. Parameter estimation and parity equations are used for feature generation. The features are compared to that one of the fault-free case. Deviations are fed into a fuzzy rule base in order to isolate the faults. The whole approach is implemented on a 16 bit microcontroller. Experimental results are given.

关键词： Model-Based Fault Detection Fuzzy-Logic Brushless DC Motor Microcontroller

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