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World Congress on Intelligent control and automation (WCICA)

作者： Maying Yang Xiaoming Jin Fei Chen Automation Department Information Engineering College Zhejiang University of Technology Hangzhou China National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

A synthetical method of multivariable control system performance assessment is proposed in this paper, which uses multivariable minimum variance control (MVC) benchmark to determine the stochastic performance, and normalized multivariate impulse response (NMIR) curve as an alternative measure of performance to test the dynamic performance, and with the help of auto-correlation function (ACF) and cross-correlation function (CCF) to analyse if there are oscillations exist. The method is applied to assess the performance of multivariable predictive control system of industrial distillation column.

关键词： Predictive models Predictive control Industrial control Distillation equipment Electrical equipment industry control systems System performance Benchmark testing Stochastic systems Impulse testing

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Nonlinear process identification and predictive control by multiparameter models

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IFAC Proceedings Volumes 2004年第13期37卷 1319-1324页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Chemical Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Koln Betzdorfer Str. 2. Germany fax: +49-22J-8275-2836 Department of Automation and Applied Injormatics Budapest University of Technology and Economics H-1111 Budapest Goldmann Gy. tér 3. Hungary fax: +36-1-463-2871

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.

关键词： process identification nonlinear models multi-model predictive control heat exchanger

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Model-based fault detection and diagnosis for hydraulic braking systems 5

Model-based fault detection and diagnosis for hydraulic brak...

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5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Straky, Harald Muenchhof, Marco Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Georg-Str. 4 DarmstadtD-64283 Germany

This paper describes fault detection and diagnosis techniques for a hydraulic passenger car braking system. First, a model of the hydraulic braking system is derived in state space representation. This model is subsequentlyemployed for fault detection and diagnosis. Fault detection is based on the calculation of the loss volume, i.e. the amount of brake fluid consumed due to the presence of a fault. The type of fault is determined by means of a correlation analysis approach. Furthermore, the location of the fault can also be determined. This is accomplished by analyzing the master brake cylinder pressure signals. The paper also presents numerical results of data recorded at a braking system testbed which illustrates the feasibility of the proposed approaches. © 2003 International Federation of Automatic control.

关键词： Fault detection

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Model-based supervision of a vacuum brake booster 5

Model-based supervision of a vacuum brake booster

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5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Muenchhof, Marco Straky, Harald Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Gerog-Str. 4 DarmstadtD-64283 Germany

This paper presents the design of a model-based supervision system for the vacuum brake booster of current hydraulic passenger car braking systems. A model is derived, which allows to calculate the pressure in the vacuum chamber and the working chamber of the vacuum brake booster. Based on this model, a real-time supervision system has been implemented. The fidelity of the model has been evaluated by testing the model against experimental data from a braking system test bed. The functioning of the model-based supervision system has also been probed with measurements taken at the aforementioned testbed. © 2003 International Federation of Automatic control.

关键词： Brakes

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Long-range optimal model and multi-step-ahead prediction identification for predictive control 13

Long-range optimal model and multi-step-ahead prediction ide...

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13th IFAC Symposium on System Identification, SYSID 2003

作者： Haber, R. Schmitz, U. Bars, R. Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KölnD-50679 Germany Department of Automation and Applied Informatics Control Research Group Hungarian Academy of Sciences Budapest University of Technology and Economics Hungary

Long-range optimal prediction algorithms use the predicted output for several steps ahead. The prediction based on traditionally estimated model parameters does not result in an optimal prediction if the measurements are noisy or/and model structure differs from real process structure. In this paper two different identification schemes are presented and compared: long-range predictive single-model identification and simultaneous multi-step-ahead prediction identification. It is shown that the first method is easier to realize but the second one leads to more accurate results. Both methods are derived for a first-order model in details. Simulation runs and a level control example illustrate the algorithms presented. © 2003 International Federation of Automatic control.

关键词： Parameter estimation

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Nonlinear process identification and predictive control by the weighted sum of multi-model outputs 2

Nonlinear process identification and predictive control by t...

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2nd IFAC Conference on control Systems Design, CSD 2003

作者： Schmitz, U. Haber, R. Bars, R. Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KolnD-50679 Germany Department of Automation and Applied Lnformatics Budapest University of Technology and Economics Goldmann Gyter 3 BudapestH-1111 Hungary

Most industrial processes are nonlinear. In such a case only a nonlinear model valid for the whole working area can ensure a good controller design. The nonlinear process is approximated by a multi-model consisting of the intelligent combination of some linear sub-models. As a very practical way the following identification strategy was used: Independent model parameter estimation in the different working points and the calculation of the global valid model output as the weighted sum of the sub-models. As a weighting function the Gaussian function is used. The parameters of the Gaussian function were chosen either without or with optimization of the identification cost function. The global valid nonlinear model was used for model based predictive control. A heat exchanger example illustrates the method. © 2003 IFAC.

关键词： Heat exchangers

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Optimal choice of horizons for predictive control by using genetic algorithms 2

Optimal choice of horizons for predictive control by using g...

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2nd IFAC Conference on control Systems Design, CSD 2003

作者： Haber, R. Schmitz, U. Bars, R. Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne Betzdorfer Str. 2 KolnD-50679 Germany Department of Automation and Applied Informatics Budapest University of Technology and Economics Goldmann Gy. ter 3 BudapestH-1111 Hungary

For predictive control in industry often very long horizons for control error and manipulated signal are used because of the slow processes which take place in the petrochemical industry. In order to reduce the computational effort some commercial predictive control program packages offer the ability to reduce the number of points in both horizons but do not recommend how to select the points which have to be considered in the horizon of the control error and manipulated variable. in this work the authors introduce an optimal choice not only of the horizon lengths itself but also for the strategy of reducing the number of points in the horizons. A genetic optimization algorithm was used both for the search for the optimal length of the horizons and for the best allocation of the points in the horizons. The results of the optimization process where used to deduct a simple rule. © 2003 IFAC.

关键词： Genetic algorithms

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Model-based supervision of a vacuum brake booster

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IFAC Proceedings Volumes 2003年第5期36卷 429-434页

作者： Marco Muenchhof Harald Straky Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Darmstadt University of Technology Landgraf-Gerog-Str. 4 D-64283 Darmstadt Germany Phone: +496151 16-7406 FAX: +496151 16-7421

关键词： Brakes Pneumatic Fault Detection

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Near minimax robust control of flexible structures

Near minimax robust control of flexible structures

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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 Darmstadt University of Technology Darmstadt Germany

This paper presents an approach to calculate prefilters that are insensitive to parameter deviations. The cost function chosen for this approach is the magnitude of the time-delay filter transfer function. By approximating the cost function with a polynomial, the effort of calculating minimax robust profiles can be reduced. The resulting control profiles yield a performance similar to the minimax robust controller. This is verified by the numerical results included in this paper.

关键词： Minimax techniques Robust control Flexible structures Filters Uncertainty Frequency Cost function Vibrations control systems Delay effects

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Model-based fault detection and diagnosis for hydraulic braking systems

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IFAC Proceedings Volumes 2003年第5期36卷 307-312页

作者： Harald Straky Marco Muenchhof 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 16-7406 FAX: +49 6151 16-7421

关键词： Brakes Hydraulic Electro-Hydraulic Fault Detection Fault Diagnosis

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