When process non-linearities are responsible for the deterioration of linear controller performances, usually the linear approximation of the model is updated as the operating conditions change. The alternative approa...
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When process non-linearities are responsible for the deterioration of linear controller performances, usually the linear approximation of the model is updated as the operating conditions change. The alternative approach, which is used in this paper, is to directly incorporate the non-linear phenomenological simulator of the process into the controller. To assess the method, the control of a cooling zone of an iron oxide pellet-sintering furnace, a multivariable process containing strong gain variations, has been simulated. The structure of the predictive controller is based on the internal model control scheme. The observer part of the control loop uses the non-linear phenomenological dynamic model of the process, while the controller part uses either the steady-state or the dynamic non-linear model for output predictions.
A 3-phase, 30 kVA, 4 pole, 1800 rpm superconducting generator is built and tested. The field winding of the rotor is a racetrack type with NbTi superconducting wire. The rotor is composed of two dampers and a liquid h...
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A 3-phase, 30 kVA, 4 pole, 1800 rpm superconducting generator is built and tested. The field winding of the rotor is a racetrack type with NbTi superconducting wire. The rotor is composed of two dampers and a liquid helium container in which the field poles reside. The space between the outermost damper and the container is vacuum insulated. To continuously transfer the liquid helium from the stationary dewar into the rotor and return the helium gas conversely, a special coupling is installed. The stationary coupling is connected to the rotor through a ferrofluid seal. The open circuit characteristic (OCC) and short circuit characteristic (SCC) are obtained. Also, the test results under the light load (up to 3.6 kW) are given. From the design stage, 2-D FE analysis coupled with the external circuit has been performed. The external circuit includes the end winding resistance and reactance as well as two dampers. When compared with the test data, the FE analysis results show a very good agreement.
Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristi...
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Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.
The growing complexity of field devices and their use in even more complex fieldbus networks lead to various problems for the user. This paper presents a concept for an intelligent PC-based tool which can help users t...
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PID controllers have found extensive industrial applications. The idea of online determination of the PID gains using fuzzy logic and reasoning was proposed with the purpose of acquiring better control performances th...
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PID controllers have found extensive industrial applications. The idea of online determination of the PID gains using fuzzy logic and reasoning was proposed with the purpose of acquiring better control performances than with using fixed PID parameters during the process. However, the detailed specification for such a fuzzy schedule is rather complicated and time consuming. Genetic algorithms are search algorithms based on natural selection and have proved themselves superior to conventional optimization techniques in many cases. This paper develops a genetic-based approach to designing a fuzzy system for online schedule of PID parameters. The effectiveness of the proposed approach in learning to adjust PID parameters for improving control performances has been demonstrated through simulation tests on a fourth-order process.
A CBT system for system dynamics and controlengineering is presented and an introduction into the related educational aspects, the elements and their realisation is given. The system is based on multimedia web compon...
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作者:
Vukic, Z.Velagic, J.University of Zagreb
Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 ZagrebHR-10000 Croatia University of Sarajevo
Faculty of Electrical Engineering Skenderija 70 SarajevoBH-71000 Bosnia and Herzegovina
In this paper a comparative analysis of Mamdani and Sugeno type fuzzy autopilots for ships is given. Both autopilots have two inputs: the heading signal and the yaw rate signal, and only one output: command rudder ang...
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The paper presents a new procedure for the system identification based on approximation of the plant step responses by PTnTd models. By simple examples, the method application in designing PID controllers is demonstra...
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The control of complex dynamic systems is one of the major tasks of modern control theory. The high dimensionality of complex systems often requires decentralized control concepts. In computer science, multiagent syst...
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The control of complex dynamic systems is one of the major tasks of modern control theory. The high dimensionality of complex systems often requires decentralized control concepts. In computer science, multiagent systems are proposed for use in distributed intelligent applications. To solve the common task, the single agents have to communicate and to interact in a suitable way. In the case of a resource allocation problem, so called market-based control algorithms can be used. Such algorithms imitate the behavior of human economies. Since most research in market-based control is done in the field of communication and computer networks, this work examines the application for the control of complex dynamic systems.
In contrast to other areas of software design, in control applications the concepts of software quality following ISO/IEC 9126 standard are not very common. However, a primary goal in applying formal methods to contro...
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In contrast to other areas of software design, in control applications the concepts of software quality following ISO/IEC 9126 standard are not very common. However, a primary goal in applying formal methods to controller design is the transparency of the resulting algorithm. An algorithm is said to be transparent if it is "easy and clear to see" what the controller does in the moment and what it will do in the next steps. In the paper the relation of this transparency concept to software quality is shown. Yet, the definition of transparency is vague and depends mainly on the subjective opinion on what "easy and clear to see" means. There are several aspects of a control algorithm that can be compared on an objective basis. In the paper the ability of different graphical controller design methods-finite automata, switching interpreted Petri nets (SIPN) and sequential function chart (SFC) according to IEC1131 standard-to describe an algorithm in a transparent way is compared. Furthermore, a number of criteria for transparency are given. These criteria cover different aspects such as number of comments, directionality and I/O-behavior. They are combined in a weighted sum to an automatically computable metric. The results of the presented method are twofold: first a set of rules for transparent controller design in the framework of SIPN and SFC is derived and secondly a metric which allows the comparison of the transparency of different control algorithms is achieved. The first result is interesting for the industrial application of the graphical design methods whereas the second result can be used for educational purposes and for optimization.
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