作者：
Gubina, FCurk, J[?]Prof. Dr. Ferdinand Gubina (1939) received the Diploma Engineer
M.Sc. and Dr. Sc. dcgms from h e University of LjubljandSlovenia in 1963. 1969 and 1972. respectively. From 1963 he was with the “Milan Vidmd” Electroinstitute Ljubljana. He was heading the Power System Opention and Control Department. In 1970 he joined for one year the Ohio State University Columbus Ohio as a teaching associate. Since 1988 he has been professorat the University of Ljubljana. His main interests lie in the area of electric power system operation and control. He is men ber of SC 39 CIGRE.ParislFrance and president of the National CIGRE Committee. (University of Ljubljana Faculty of Electrical and Computer Engineering Tmska256 loo0 Ljubljanalslovenia. Phone: + 38 66 I I2646 29 Fax: +38 66 1 I2646 30. E-mail: gubina@lddees.fer.unilj.si)
A new concept of highly decentralized secondary voltage control is presented. The concept is based on secondary voltage controllers attacked to each reactive power source. The secondary controllers utilize only local ...
A new concept of highly decentralized secondary voltage control is presented. The concept is based on secondary voltage controllers attacked to each reactive power source. The secondary controllers utilize only local information available from measurements at the generating bus and they act completely autonomously. To successfully attain information on the electrically close load bus behaviour describing their voltage profile, a group of fuzzy sets is derived based on intrinsic load node properties and statistics of their voltage deviations. They are used in the fuzzy decision process to yield new reference setting for primary voltage controllers. The tests results of proposed modular secondary control are presented for standard and non-standard networks. The efficacy of the new concept is demonstrated.
The paper presents results of research with the new predictive autopilot structure (PIP+D) with gain scheduling. The autopilot is tested and compared with conventional PID autopilot for a mariner class ship. The autop...
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The paper presents results of research with the new predictive autopilot structure (PIP+D) with gain scheduling. The autopilot is tested and compared with conventional PID autopilot for a mariner class ship. The autopilot parameters are changed with the speed of the ship using the gain scheduling technique. Results obtained during the research show that the proposed autopilot structure is to be recommended if improved performance is of prime interest, when the velocity of the ship is changing. The analysis is based on the simulation of a mariner class ship as a nonlinear system, with the steering servo system taken as a nonlinear model. Results of the simulation are included.
Armature-controlled DC servomotors are widely used in the motion control area in the process control industry. In this study a method is proposed to use a motor's transfer function to calculate the optimum paramet...
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Armature-controlled DC servomotors are widely used in the motion control area in the process control industry. In this study a method is proposed to use a motor's transfer function to calculate the optimum parameter tolerances keeping the deviation in angular displacement in its tolerance region. These tolerances minimize a defined upper bound for the deviation of the angular displacement due to a motor's parameters variations. Furthermore, a sensitivity measure is defined to be used to improve the sensitivity performance of the motor and to compare various DC motors with different sets of design parameter values which realize the same transfer function.
This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method de...
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This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method described are discussed. Simulations have been carried out to demonstrate the effectiveness of the new method, and the results are compared with a classical PID controller to show the improvement in performance.
In this paper, a microcontroller-based temperature controller for furnaces and ovens is introduced. Improvements are attained on the two basic problems of the controllers in naturally-cooled furnaces, namely, the osci...
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In this paper, a microcontroller-based temperature controller for furnaces and ovens is introduced. Improvements are attained on the two basic problems of the controllers in naturally-cooled furnaces, namely, the oscillations caused by integral control and the variation in system parameters depending on the materials inside the furnace. A low-cost microcontroller is used for the effectiveness and simplicity of the control algorithm.
In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (...
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In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (DCN) CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. The proposed methods provide a practical framework for VLSI implementation, since all nonlinear cell interactions of the CNN architecture are deduced to two fundamental nonlinearities, to a sigmoid-type and a radial basis function. These nonlinear characteristics in DCN templates can be approximated by simple piecewise-linear functions of the difference voltage of neighboring cells. The simplification makes possible to convert all space invariant nonlinear templates of this study to a standard instruction set of the CNN Universal Machine, where each instruction is coded by at most 10 analog numbers. Through examples it is demonstrated, that such CNN based adaptive nonlinear filters have excellent performance in filtering both the impulsive and Gaussian noise while preserving the image structure.
In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. Th...
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In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. This is accomplished by the usage of content addressable memory as a rule set storage. The proposed architecture was simulated and the simulation results give the inference speed of about 200 KFLIPS.
A new technique for control system design based on the Optimal Constrained Covariance control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers publishe...
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A new technique for control system design based on the Optimal Constrained Covariance control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers published so far the controller gain matrices were detennined using the classical Linear Quadratic Gaussian (LQG) optimal control technique, the pole-placement technique and characteristic locus design method. The main disadvantage of these techniques is their poor correspondence with the real performance requirements of control system. Using the proposed technique this disadvantage is avoided. The results of computer simulation using OC 3 control are presented.
At the preparatory stage for connecting the Czech power systems to the West European UCPTE system, corrections for frequency must be included in the output power control, i.e. the primary control must be introduced. T...
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At the preparatory stage for connecting the Czech power systems to the West European UCPTE system, corrections for frequency must be included in the output power control, i.e. the primary control must be introduced. The result of the detailed analysis was a model of primary output power control of the block and a new power system control of Czech coal power plants. In the new power system control, an adaptive or robust controller will be used for operation stabilisation
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