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MODELING AND MODEL IDENTIFICATION OF A PRESSURIZER AT THE PAKS NUCLEAR POWER PLANT

IFAC Proceedings Volumes 2006年第1期39卷 678-683页

作者： I. Varga G. Szederkényi K.M. Hangos J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences H-1111 Budapest Kende u. 13-17 Hungary Phone: +361-279-6227 Fax: +361-466-7503

The modeling and identification of a pressure controlling tank located in the primary circuit of the Paks Nuclear Power Plant in Hungary is presented in this paper. The main goal of the identification procedure is to produce a physically meaningful process model which is simple enough but still applicable for controller design. Based on first engineering principles a second order dynamic model has been constructed the structure of which has been validated by using the ESS structure estimation algorithm. The estimated model forms the basis of an already implemented controller in Paks NPP.

关键词： process control identification for control model structure selection

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Improving handling of vehicles with active suspensions

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International Journal of Vehicle Autonomous systems 2005年第2-4期3卷 134-151页

作者： Gaáspaár, P. Bokor, J. Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungary Control and Transport Automation Department Budapest University of Technology and Economics Hungary

In this paper an active suspension system which guarantees passenger comfort in normal cruising and rollover prevention in emergencies is proposed. In the control design the changes in forward velocity, the normalised load transfer, the performance specifications both for rollover and suspension problems, and the model uncertainties are taken into consideration. By selecting scheduling variables, a Linear Parameter Varying model is constructed, which is the basis of the control design. The operation of the active suspension is demonstrated in a cornering manoeuvre. Copyright © 2005 Inderscience Enterprises Ltd.

关键词： Vehicle suspensions

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Constrained split rate estimation by moving horizon

Constrained split rate estimation by moving horizon

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作者： Kulcsár, Balázs Varga, István Bokor, József Computer and Automation Research Institute Systems and Control Laboratory Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)008045108X

The paper presents a method for the constrained Moving Horizon Estimation of origin-destination (OD) matrices for traffic networks. in traffic systems split ratios are important parameters for OD estimation and for control problems as well. The paper treats the general constrained Moving Horizon Estimation problem for traffic systems modelled in terms of linear time varying system and solves the split rate estimation process. The estimation is subjected to equality and inequality constraints. A numerical example is solved to demonstrate the Moving Horizon Estimation of split variables. Copyright © 2005 IFAC.

关键词： Constraint theory

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Formation stabilization of nonlinear vehicles based on dynamic inversion and passivity

Formation stabilization of nonlinear vehicles based on dynam...

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作者： Péni, T. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)008045108X

This paper proposes a hierarchical formation stabilization method for vehicles having nonlinear dynamics. Supposing that the formation control problem is already solved for the case of linear vehicle dynamics, the method proposes a dynamic inversion based low-level control, which linearizes, at least approximately, the original vehicle dynamics so that the formation control can be applied. in this way a hierarchical control system is obtained, which is then completed with a passivity based stabilization procedure for the stability of the entire system can be guaranteed. Copyright © 2005 IFAC.

关键词： Vehicles

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Identification of an LPV vehicle model based on experimental data for brake-steering control

Identification of an LPV vehicle model based on experimental...

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作者： Rödönyi, G. Bokor, J. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)008045108X

A physically parameterized continuous-time velocity-scheduled LPV state-space model of a heavy-truck is identified from measurement data. The aim is to develop a model for controller which steers the vehicle by braking either the one or the other front wheel. It can be applied in many vehicles, where the sole possibility to automate the steering in emergency situations, like e.g. unintended lane departure, is the application of the electronic brake system. Such steering controllers usually require the prediction of the yaw rate and the steering angle on every possible velocity. This problem deffnes the requirements for the model. Four different order model structures are derived from a certain physical description. Assuming state and output noise, all of them are identified in parameter-varying observer form using prediction error method. The quadratic criterion function is composed from measurement data of several different experiments. Each experiments are carried out on constant velocities but the cost is constituted from different velocity experiments. That structure is selected for controller design which has the best cost on test data out of those the poles of which are in the control bandwidth. The poles are defined on constant velocity. The resulted nominal model consists of the feedback connection of the yaw dynamics with one state-variable and the steering system dynamics with two states and of a first order actuator dynamics with time-delay. The predicted outputs show a good fit to the measurements. Copyright © 2005 IFAC.

关键词： Poles

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Hierarchical modelling in biology: Systematic building of limb models

Hierarchical modelling in biology: Systematic building of li...

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作者： Fazekas, C.S. Kozmann, G.Y. Hangos, K.M. Department of Information Systems University of Veszprém Veszprém Hungary Research Institute for Technical Physics and Materials Sciences Department of Biomedical Engineering Budapest Hungary Computer and Automation Research Institute Systems and Control Laboratory Budapest Hungary

ISBN: (纸本)008045108X

A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed. Copyright © 2005 IFAC.

关键词： Hierarchical systems

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Prediction-based diagnosis and loss prevention using model-based reasoning

Prediction-based diagnosis and loss prevention using model-b...

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18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005

作者： Námeth, Erzsábet Lakner, Rozália Hangos, Katalin M. Cameron, Ian T. Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary Department of Computer Science University of Veszprám Veszprám Hungary School of Engineering University of Queensland Brisbane Australia

ISBN: (纸本)3540265511

A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic "cause-effect" rules and possible actions (suggestions) are extracted from the results of standard HAZOP analysis. Automatic focusing as well as "what-if" type reasoning for testing hypothetical actions have been also implemented. The diagnostic system is tested on a granulator drum of a fertilizer plant in a simulation test-bed. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Artificial intelligence

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On the detection of unknown input in positional control problems with noisy measurements

On the detection of unknown input in positional control prob...

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作者： Shinar, Josef Bokor, József Kulcsár, Balázs Israel Institute of Technology Faculty of Aerospace Engineering Haifa 3200 Israel Systems and Control Laboratory Computer Automation Research Institute Hungarian Academy of Sciences P.O.Box 63 Budapest Hungary

ISBN: (纸本)008045108X

The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of improving the homing performance of interceptor missiles against randomly maneuvering targets. The required isolation is possible if, in addition to noisy relative position measurements, noise-free measurement of the line of slight rate or the relative lateral velocity is available. Although with noisy measurement of line of slight rate the isolation of the input is not possible, the detection filter designed for the noise- free case succeeds to provide a satisfactory estimate of target acceleration, which is needed for an improved homing performance. Copyright © 2005 IFAC.

关键词： Bandpass filters

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Prediction Based Combined control to Prevent the Rollover of Heavy Vehicles

Prediction Based Combined Control to Prevent the Rollover of...

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IEEE International Symposium on Intelligent control (ISIC)

作者： P. Gaspar Z. Szabo J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper a combined control structure to decrease the rollover risk of heavy vehicles is developed. In this structure active anti-roll bars are combined with an active brake control. To enhance the performance of the active brake, this mechanism is extended with a prediction procedure, in which the critical values are predicted in advance using a short time interval. In order to predict an imminent rollover, an observer-based prediction algorithm is proposed to estimate in advance the load transfers. The control design is based on the linear parameter varying model of yaw-roll dynamics of heavy vehicles. In the control design both the performance demands and the model uncertainties are taken into consideration. The control mechanism is demonstrated in a double lane change maneuver

关键词： control systems Bars control design Vehicle dynamics Uncertainty Stability Suspensions Gravity Automatic control Prediction algorithms

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Gray-Box Continuous-Time Parameter Identification for Lpv Models with Vehicle Dynamics Applications

Gray-Box Continuous-Time Parameter Identification for Lpv Mo...

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IEEE International Symposium on Intelligent control (ISIC)

作者： P. Gaspar Z. Szabo J. Bokor Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

In this paper a gray-box identification method is investigated for linear parameter varying (LPV) continuous-time systems. An algorithm is given to analyze the parameter identifiability problem. Since the initial conditions are not assumed to be known, an observer based identification scheme is proposed. This is an identification method with two steps. In the first step a Luenberger type observer is designed, and in the second step a parameter estimation for the observer system is performed. The role of an observer based identification scheme in the elimination of the effects caused by the unknown initial conditions is highlighted. The importance of the selection of sampling time is also shown. The method is demonstrated through an estimation of the features of the gravity center of heavy vehicles

关键词： Parameter estimation Vehicle dynamics Sampling methods Least squares methods Algorithm design and analysis Gravity Vehicles Nonlinear systems Processor scheduling Transfer functions

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