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Identification Methods in a Unified Framework

IFAC Proceedings Volumes 2003年第16期36卷 1975-1980页

作者： István Vajk Department of Automation and Applied informatics Budapest University of Technology and Economics and HAS-BUTE Control Research Group H-1521 Budapest. Hungary

The paper derives a framework suitable to discuss the errors-in-variables (EIV) and the maximum likelihood (ML) estimation algorithms to estimate linear system parameters in a unified way. Using the capability of the unified approach a new parameter estimation algorithm is presented offering flexibility to ensure acceptable variance in the estimated parameters. The developed algorithm is based on the application of Hankel matrices of variable size and can be considered as an extended version of the EIV method.

关键词： Errors-in-variables linear systems maximum likelihood estimation system identification subspace methods

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Identification of a Nonlinear Errors-in-Variables Model

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IFAC Proceedings Volumes 2003年第8期36卷 21-26页

作者： István Vajk Jeno Hetthéssy Department of Automation and Applied Informatics Budapest University of Technology and Economics and HAS-BUTE Control Research Group H-1521 Budapest Goldmann Gy. t谠3. Hungary

In this paper a nonlinear MISO model is built up as a combination of a pre-specified dynamical term and an unknown static nonlinear component, where the nonlinear subsystem is realized by a region-wise base point driven interpolation. A model using noisy observations (errors-in-variables) is considered. The paper presents the identification algorithm of this model and shows the application of the elaborated method for load forecasting.

关键词： System identification nonlinear systems errors-in-variables estimation approximation methods load forecasting

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Reduction of the Optimization Efforts with Predictive control by Using Non-Equidistant Prediction Points

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IFAC Proceedings Volumes 2003年第8期36卷 57-62页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50619 Köln Betzdorf er Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics MTA-BME Control Research Group Budapest University of Technology and Economics Hungary

With predictive control most of the computation time is spent for the simulation of the predicted variables and for the optimization if constraints or nonlinear processes are assumed. In addition to the known blocking technique for the manipulated variable another possibility is calculating the control error not in each sampling point of the prediction horizon but only in some coincidence points. It will be shown that the best choice is to allocate the coincidence points exponentially thus that with small prediction steps more and with increasing prediction steps less coincidence points are considered. As a practical example the multivariable control of a distillation column model illustrates the benefits of the method presented.

关键词： Predictive control optimal control control applications chemical industry execution time

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

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IFAC Proceedings Volumes 2003年第16期36卷 477-482页

作者： R. Haber U. Schmitz R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Köln Betzdorfer Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics Control Research Group of the 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.

关键词： Process identification prediction parameter estimation predictive control

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Hybrid IMC Dead-Beat controller Design in Delta Domain

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IFAC Proceedings Volumes 2003年第18期36卷 381-386页

作者： Zs. Preitl R. Bars I. Vajk R. Haber Department of Automation and Applied Informatics Budapest University of Technology and Economics. MTA-BME Control Research Group H-1111 Budapest Goldmann Gy. tér 3. Hungary: fax : + 36-1-463-2871 Department of Plant and Process Engineering University of Applied Science Cologne Germany

The paper presents a control system design technique in delta domain for IMC (Internal Model control) structure. Also a generalised form for delta domain Dead-beat control algorithm is given, a hybrid implementation of the controller (Z-domain combined with delta domain) is presented and its architecture is compared with the pure deltadomain implementation. The effect of placing the limitations in the IMC structure is also studied. The hybrid control structure is compared with a similar Dead-beat controller in Z-domain for second and third order plants (benchmarks). An illustrative sensitivity analysis between the hybrid control system and the Z-domain system has been performed.

关键词： controller design delta domain generalised hybrid Dead-beat controller sensitivity analysis

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control System Design Aspects Using the Delta Transformation

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IFAC Proceedings Volumes 2003年第8期36卷 245-250页

作者： Zs. Prcitl R. Bars Department of Automation and Applied Informatics Budapest University of Technology and Economics Control Engineering Research Group of the Hungarian Academy of Sciences H-1111 Budapest Goldmann Gy. tér 3. Hungary fax: +36-1-463-2871

In the paper there are presented some controller design methods in delta domain based on the delta model of the plant aiming to compare them with similar methods specific to continuous and discrete time design. Design of PI, PID and Dead-beat algorithms are presented and exemplified for second and third order plants (benchmarks). The design of PID controllers use (i) optimization techniques based on Modulus Optimum method and (ii) pole cancellation method with imposing an "optimum" value for the phase margin. An illustrative sensitivity analysis between delta domain controllers and Z discrete time controllers has been made. Simulations are made regarding delta design and compared with results obtained through continuous design and Z-discrete implementation. Dead-beat controllers are considered optimal from the point of view of settling time. The results support as a viable alternative the design in delta domain and show less sensitivity in the case of delta controllers versus the discrete (Z) design.

关键词： controller design delta domain PID controller optimization Dead-beat controller illustrative sensitivity analysis

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Direct Learning control Design for a Class of Linear Time-varying Switched Systems

Direct Learning Control Design for a Class of Linear Time-va...

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International Conference on control and automation (ICCA)

作者： Jian-Xin Xu P. Korondi Rui Yan Zhi-Hong Guan Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Automation and Applied Informatics Budapest University of Technology and Economics Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback, even if the system may have uncertainties. This is achieved by exploring the inherent relationship between any two systems before and after a switch. The new method is applicable to a class of linear time varying, uncertain and switched systems, when the trajectory tracking control problem is concerned. A numerical simulation demonstrates the effectiveness of the proposed method.

关键词： control design Time varying systems Switched systems control systems Switches Feedback Uncertainty Trajectory Numerical simulation

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Optimal Choice of Horizons for Predictive control by Using Genetic Algorithms

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IFAC Proceedings Volumes 2003年第18期36卷 507-512页

作者： R. Haber U. Schmitz R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Köln Betzdorfer Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics Budapest University of Technology and Economics H-1111 Budapest Goldmann Gy. tér 3. Hungary fax : +36-1-463-2871

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.

关键词： Predictive control long horizons blocking coincidence points compaction points optimal choice of horizons

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Nonlinear Process Identification and Predictive control by the Weighted Sum of Multi-Model Outputs

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IFAC Proceedings Volumes 2003年第18期36卷 129-134页

作者： U. Schmitz R. Haber R. Bars Department of Plant and Process Engineering Laboratory of Process Control University of Applied Science Cologne D-50679 Köln Betzdorfer Str. 2 Germany fax: +49-221-8275-2836 Department of Automation and Applied Informatics Budapest University of Technology and Economics H-1111 Budapest Goldmann Gy. tér 3. Hungary fax : +36-1-463-287l

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.

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

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Internal model-based controller for a solar plant 15th

Internal model-based controller for a solar plant

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

作者： Farkas, István Vajk, István Department of Physics and Process Control Szent István University Pater K. u. 1. GödöllöH-2103 Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics BudapestH-1521 Hungary

ISBN: (纸本)9783902661746

In this study a model-based control designed for the operation of a solar power plant is discussed. The simplified physically based model of the plant was developed on the basis of the energy balances including the solar insulation as an input, the heat transferred by the flow of the oil as a working media and the overall heat loss from the plant. The outlet temperature of the collector field is the reference/set-point value while the volumetric flow rate of the oil is the manipulating variable to the controller. The solar radiation, the ambient temperature and the inlet oil temperature to the collector field are assumed as the disturbances. The model developed and identified is an internal part of the controller. The initial control experimental results are also presented. Copyright © 2002 IFAC.

关键词： controllers

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