A new pattern recognition approach to steady‐state security evaluation of electrical power systems is presented. Such approach is based upon a combined use of the „nearest‐neighbour” method and of an opportune syst...
作者:
Linke, K.Rumpel, D.Dip1.-Ing. Klaus Linke (1939)
VDEis the director of the department "load dispatching and network operation" of Vereinigte Elektrizitatswerke Westfalen AG (VEW). DortmundGermany. After the study of electrical engineering at the Technical University of KarlsruhdGermany he started his professional career in an engineering-concern where he was responsible among others for investigations concerning the installation of process-computers in chemical plants. In 1968 he changed to VEW. Here in 1984 he took over his present position in which he is mainly engaged with the tasks of the management of the HV and EHV network and the power system control together with the problems concerning network automation incident to it. (Vereinigte Elektrizitatswerke Westfalen AG Hauptverwaltung Rheinlanddamm 24 W-4600 Dortmund 1 T +49 23 114 38-42 41) Dr.-Ing. Dieter Rumpel (1932)
VDE is full professor and since 1978 head of the Power Systems Institute of Duisburg University Germany. He got his DiplAng. degree from the Technical University Munich and his Dr.-Ing. degree from the Technical University Berlin. Before his call to Duisburg he worked at Siemens AG for 23 years. (Universiiit-GHDuisburg Fachbereich Elektrotechnik PF 10 15 03 W-4100 Duisburg T 4 9 20 313 79-34 37)
For computerized power system operation, all objects of the network must be mapped in a data‐model. For this task, the „Grid Data Language” (GDL) does not apply format‐bound source data, but describes the objects u...
作者:
R. BarsR. HaberDepartment of Automation
Technical University of Budapest Goldmann Gy. tér 3 Budapest Hungary Fachhochschule Köln
Faculty of Plant and Process Engineering Köln FRG and Ruhr-University Faculty of Mechanical Engineering Department of Control Systems Bochum FRG
The unknown nonlinear process is approximated by the Hammerstein model, which is one of the natural expansions of the discrete convolution model to nonlinear systems· Because of the large number of the parameters...
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The unknown nonlinear process is approximated by the Hammerstein model, which is one of the natural expansions of the discrete convolution model to nonlinear systems· Because of the large number of the parameters an identification procedure with scalar convergence coefficients is recommended. The control task is to follow a reference model output predicted ahead in a given horizon· The present and future control activities during the prediction horizon are determined minimizing a functional of the error signal between the predicted values of the reference model and the system output. The control signal is assumed constant during the control horizon and the calculation is repeated in each control interval. Simulation results represent the robust behaviour of the control algorithms.
Petri nets are applied to the bottom-up design of a handshaking protocol for transferring parts through a sequence of workstations. The authors illustrate the application of Petri-net theory to verify properties of th...
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Petri nets are applied to the bottom-up design of a handshaking protocol for transferring parts through a sequence of workstations. The authors illustrate the application of Petri-net theory to verify properties of the complete system behavior based on the structure of the Petri-net model. It is shown that communication between local controllers is modeled by places corresponding to upstream and downstream messages. Consistency in the interconnection of the subsystem models is guaranteed by the identification of these communication places. To analyze the properties of the complete system, results on liveness and place invariants for Petri nets are applied to the Petri-net model.< >
The demand for wider, thinner rolled steel has led to an increasing interest in the control of the strip “shape”. Mechanisms for controlling shape include roll bending, roll tilt (or mill steer) and spray pattern co...
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The demand for wider, thinner rolled steel has led to an increasing interest in the control of the strip “shape”. Mechanisms for controlling shape include roll bending, roll tilt (or mill steer) and spray pattern control. This paper will principally focus on an analysis of the spray control system and the associated interaction between adjacent zones. This paper decribes a new approach to shape control, a mathematical model is derived for the dynamic thermal expansion of the rolls of the a tandem cold rolling mill. The model structure has been specifically designed to facilitate control studies. The system is highly non-linear but the model suggests how the system can be linearized by an appropriate input signal transformation. The linearized system then represents a coupled multi-input multi-output dynamical system linking the cooling water sprays to the measured exit strip shape. This linearized model leads to a dynamical decoupling procedure which reduces the system to a set of single-input single—output control systems. Apart from the application to shape control, the method proposed here has more general applicability since the same kind of problem arises in a variety of cross-machine probelms.
An approach to iterative learning control system design based on 2D system theory is presented. A 2D model for the iterative learning control system which reveals the connections between learning control systems and 2...
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An approach to iterative learning control system design based on 2D system theory is presented. A 2D model for the iterative learning control system which reveals the connections between learning control systems and 2D system theory is established. A learning control algorithm is proposed, and the convergence of learning using this algorithm is guaranteed by 2D stability. The learning algorithm is applied successfully to the trajectory tracking control problem for a parallel link robot manipulator. The excellent performance of this learning algorithm is demonstrated by computer simulation results.< >
Invariance is a primary characteristic of a control system. It is strongly interrelated with the system structure where the latter provides a necessary condition for the invariance. The relationship is established by ...
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Invariance is a primary characteristic of a control system. It is strongly interrelated with the system structure where the latter provides a necessary condition for the invariance. The relationship is established by using various formal languages among which the graph-theoretic model seems most adequate when it comes to analysing the causal relations between components of the system. The present work aims to reflect the close interdependence between a number of invariance types and graph structures. Some typical algorithms for solving the problems of structure selection are demonstrated.
A method is described for the systematic development of computer models for control systems with complex relationships between multiple nonlinear phenomena and energy-storage elements. The specific example of an elect...
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A method is described for the systematic development of computer models for control systems with complex relationships between multiple nonlinear phenomena and energy-storage elements. The specific example of an electromechanical position control system, with consideration of interrelated actions that include static friction, Coulomb friction, backlash, and a significant inertial load, is considered. The use of piecewise-linear models provides an extensive set of operational modes, but methodology is presented for consideration of the conditions for all possible changes of mode and the actions that accompany each change. Simulation results are presented.< >
In a hard real-time distributed computing system (HRTDCS), all the tasks are required to meet their associated deadlines; a task not meeting its deadline leads to a catastrophic failure of the system. The authors cons...
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In a hard real-time distributed computing system (HRTDCS), all the tasks are required to meet their associated deadlines; a task not meeting its deadline leads to a catastrophic failure of the system. The authors consider an HRTDCS that executes both periodic and aperiodic tasks associated with timing, precedence, and resource constraints. The fault-tolerance capability in such a system is achieved through the use of time redundancy. The problem of workload redistribution for fault tolerance in an HRTDCS is studied. A graph model to represent the system workload is developed. Three performance measures for the analysis of an HRTDCS are defined. A nonpreemptive scheduling algorithm is proposed to distribute the workload of the operational nodes of the HRTDCS in the presence of both hardware and task failures. This task allocation strategy is applied to a practical system, namely, the HRTDCS onboard a spacecraft. The performance measures obtained for a typical system workload indicate that the algorithm is quite suitable for an HRTDCS with regard to uniform workload distribution.< >
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