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44th IEEE Conference on Decision and control, and the European control Conference, CDC-ECC '05

作者： Sekaj, Ivan Šrámek, Marián Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia

ISBN: (纸本)0780395689

A genetic algorithm based controller design approach is described. The genetic algorithm represents an optimisation procedure, where the cost function to be minimized comprises the closed-loop simulation and a performance index evaluation. Based on this, simple design and two robust controller design methods have been proposed. All design methods are experimentally compared. Additionally, for qualitative evaluation and comparison of different controllers a proposed statistical robustness measure is presented. ©2005 IEEE.

关键词： Robustness (control systems)

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Optimization of power system stabilizer by genetic algorithm

Optimization of power system stabilizer by genetic algorithm

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作者： Murgaš, Ján Sekaj, Ivan Foltin, Martin Miklovičová, Eva Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia

ISBN: (纸本)008045108X

Power system stabilizers (PSS) play an important role in damping of power system oscillations. an intensive research activity has been devoted to design of their structure and optimal setting of their parameters. in this paper the simultaneous optimization of multiloop PSS and automatic voltage regulator parameters (AVR) by means of genetic algorithm is proposed. Using an example of the 259 MVA turbogenerator excitation system in the nuclear power plant Mochovce (Slovak Republic) it is shown that the genetic algorithms are able to find the optimal parameters of excitation system so that the requirements on terminal voltage performances as well as on damping of active power oscillations are satisfied. Copyright © 2005 IFAC.

关键词： Genetic algorithms

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Predictive control of a process with variable dead-time

Predictive control of a process with variable dead-time

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作者： Cristea, Smaranda De Prada, César De Keyser, Robin Department of Systems Engineering and Automatic Control Faculty of Sciences University of Valladolid c/ Real de Burgos s/n Spain Department of Control Engineering and Automation University of Ghent Technologiepark-Zwijnaarde 9 B-9052 Ghent Belgium

ISBN: (纸本)008045108X

This paper deals with the control of variable-delay processes, where the delay depends on the value of the manipulated variable, which results in a non-linear system difficult to control. As a reference process, the case of a heated tank where the controlled variable is the liquid temperature and the placement of the sensor introduce a transport delay in the control loop, has been considered. This challenging problem is approached from the perspective of predictive control, using the non-linear EPSAC controller. Copyright © 2005 IFAC.

关键词： Linear systems

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Fragmentation and allocation of object-oriented databases for simple attributes and complex methods: a cost-based technique

Fragmentation and allocation of object-oriented databases fo...

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ITI International Conference on Information and Communications Technology (ICICT)

作者： M.T. Faheem A. Sarhan R.L. Ibrahem Computers and Automatic Control Engineering Faculty ofEngineering Tanta University Egypt Electrical Engineering Department High Institute for Energy Egypt

The efficiency of the distributed systems is most often dominated by the network communications between the different sites. In distributed database systems, the communication between the different sites is almost essential to satisfy a query. In order to minimize the time required to respond to a query in such systems, a reliable fragmentation technique is required to place the data as close to its user as possible. The placement of these fragments to the proper sites is a complementary step to assure the right position of these fragments. The previous fragmentation techniques provided a way for fragmentation of the database that is followed by an allocation technique to allocate the produced fragments as separate steps. The key idea of this paper is that it introduces a novel technique that combines both the fragmentation and allocation processes into one composite process thus putting into consideration the allocation constraints while fragmenting the data. It also simplifies the effort required to get the best fragments and the best location of these fragments. This proposed technique relies on a cost-based model rather than an affinity model as being used in previous techniques. The case of simple methods and complex attributes database is considered in this paper. The results obtained by the technique proofed the effectiveness and usefulness of the proposed technique

关键词： Object oriented databases Object oriented modeling Application software Relational databases Database systems Multimedia databases Distributed databases control engineering computing Computer networks Distributed computing

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Neuro-fuzzy control of a pH plant

Neuro-fuzzy control of a pH plant

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作者： Fuente, M.J. Sainz, G.I. Alonso, M. Aguado, A. Department of Systems Engineering and Control Faculty of Science University of Valladolid Prado de la Magdalena s/n 47011 Valladolid Spain ETSII University of Valladolid Paseo del Cauce s/n 47011 Valladolid Spain Department of Automatic Control ICIMAF Cuba

ISBN: (纸本)008045108X

This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calculate the gain of the controller. This neurofuzzy regulator has been tested in real-time on a bench plant. On-line results show that the designed control system allows the plant to operate in a range of pH values, despite perturbations and variations of the plant parameters, obtaining good performance at the desired workings points. Copyright © 2005 IFAC.

关键词： Scheduling

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A FREQUENCY DOMAIN DESIGN TECHNIQUE FOR ROBUST DECENTRALIZED controlLERS

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IFAC Proceedings Volumes 2005年第1期38卷 69-75页

作者： Alena Kozáková Vojtech Veselý Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovak Republik

The paper proposes a new frequency domain approach to the design of robust decentralized controllers (DC) for continuous-time systems described by a set of transfer function matrices. To guarantee the nominal stability and the prespecified nominal performance, the recently developed DC design technique (Kozáková and Veselý, 2003) has been applied, adapted so as to guarantee the robust M -δ structure based stability conditions modified for the closed-loop system under decentralized controller as well. Unlike the standard robust approaches to the DC, this technique allows the inclusion of the nominal interactions into the nominal model; thus the conservativeness of the robust stability conditions is relaxed.

关键词： decentralized control robust stability unstructured uncertainty

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Robust PSS Design for a Multivariable Power system

Robust PSS Design for a Multivariable Power System

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Power Tech Conference

作者： V. Vesely A. Kozakova Department of Automatic Control Systems Faculty of Electrical Engineering and IT Slovak University of Technology Bratislava Slovakia

The paper deals with the frequency domain design of a robust power system stabilizer (PSS) for a multivariable power system. The proposed PSS design procedure is based on a novel approach that applies the independent design methodology to the so-called equivalent subsystems along with the well-known Small Gain theory and the robust stability conditions in the M-Delta setup. Theoretical results have been applied to the design of a robust multivariable PSS for a part of the Power system of the Slovak Republic.

关键词： Robustness Power systems control systems Damping Power system stability Design methodology Robust stability MIMO Transfer functions Feedback

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Robust genetic algorithm approach to modelling and control

Robust genetic algorithm approach to modelling and control

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IEEE International Symposium on Intelligent Signal Processing

作者： S. Kozak R. Memersheimer A. Kozakova Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovakia

The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis approach can be successfully modified so as to improve performance by applying genetic algorithms for tuning controller parameters. A general algorithm has been developed for optimal polynomial controller tuning that enables to generate optimal and robust control actions for both SISO and MIMO systems. Moreover, the proposed methodology guarantees finding global optimum and enables achieving a higher performance compared with the conventional approaches. The proposed robust intelligent algorithm involving the intelligent searching procedure has been tested on a case study (control of a servo system with a changing momentum of inertia). Obtained results verify the possibility to improve the performance using combination of a polynomial algebraic controller and a genetic algorithm.

关键词： Robust control Genetic algorithms Polynomials control systems Intelligent control control system synthesis Optimal control MIMO system testing Servomechanisms

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Macro-Actions in Model-Free Intelligent control with Application to pH control

Macro-Actions in Model-Free Intelligent Control with Applica...

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IEEE Conference on Decision and control

作者： S. Syafiie F. Tadeo E. Martinez Department of System Engineering and Automatic Control Faculty of Sciences University of Valladolid Prado de la Magdalena s/n 47011 Valladolid Spain (email: syam@autom.uva.es). Department of System Engineering and Automatic Control University of Valladolid Valladolid Spain Consejo Nacional de Investigaciones Cientificas y Technicas Santa Fe Argentina

ISBN: (纸本)0780395670

MFIC (Model-Free Intelligent control) is a technique, based on Reinforcement Learning, previously proposed by the authors to control processes without needing a precalculated model. In standard reinforcement learning algorithms (including MFIC), the interaction between an agent and the environment is based on a fixed time scale: during learning, the agent can select several primitive actions depending on the system state. This creates the problem of selecting a suitable fixed time scale to select control actions, to trade off accuracy in control against learning complexity and flexibility. A novel solution to this problem is presented in this paper: Macro-actions, that incorporate a general closed-loop policy and temporal extended actions. The application of macro actions on a laboratory plant of pH process shows that the proposed MFIC learns to control adequately the neutralization process, with reduced computational effort.

关键词： Intelligent control Learning Process control Size control Laboratories Signal processing Stochastic processes systems engineering and theory automatic control Iron

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Improvement of fault detection method for nonlinear black-box systems based on multi-form Quasi-Armax modeling

Improvement of fault detection method for nonlinear black-bo...

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作者： Kumamaru, K. Inoue, K. Tsubouchi, F. Söderström, T. Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Fukuoka Japan Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

ISBN: (纸本)008045108X

This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is used. A fault due to unexpected change in system parameters will appear as the change of identified model. Kullback discrimination Information (KDI) can then be used as the fault detection index to evaluate the distortion in identified model. Several schemes to improve the fault detection performance are proposed, as well as the realization of a kind of fault isolation function based on a recognition approach in the model parameter space. The effectiveness of the method is verified through simulation studies on the ship propulsion system constructed for benchmark test. Copyright © 2005 IFAC.

关键词： Fault detection

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