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1999 European Control Conference, ECC 1999

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

ISBN: (纸本)9783952417355

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 angle. Input variable fuzzification, fuzzy associative memory (FAM) rules, and output set defuzzification are described. The control system for the course-keeping composed of the nonlinear ship, the steering gear servo system, fuzzy autopilot and wave disturbance is described. Both autopilots are compared in three different sailing conditions: without wave disturbance, with wave disturbance and with wave disturbance and wave filtering. The notch filter was used for filtering of second-order wave disturbances. The influence of wave disturbance on course-keeping performance was analyzed. Even though the obtained performance in simulations are very similar, authors prefer Sugeno type fuzzy autopilot, due to less strain of the steering gear servo system and faster and more accurate heading obtained. © 1999 EUCA.

关键词： Ships

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Modelling and analysis of dynamic properties of drive systems with gears

Modelling and analysis of dynamic properties of drive system...

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ASME 1999 Design engineering Technical Conferences, DETC 1999

作者： Kratochvil, Ctirad Biezina, Tomàs Kotek, Vladimir Krejsa, Jifi Institute of Mechanics of Solids Faculty of Mechanical Engineering TU of Brno Czech Republic Institute of Automation and Computer Science Faculty of Mechanical Engineering TU of Brno Czech Republic Mechatronics Centre Institute of Thermomechanics Czech Academy of Science Technicka 2. Bmo616 69 Czech Republic

ISBN: (纸本)9780791880395

Contemporary trends show a marked tendency for solution of problems of dynamic analysis of drive systems as early as the design stage. 11 shows that during the modelling of complex drive systems it is neccssaiy to respect its structural complexity and therefore it is necessary to make the models of particular drive subsystems first and Uien to combine it altogelher. In the paper authors present some inetliods of creation of suitable mathematical models of complex drive systems respecting the drive structxire. The inetliods are (lien applied onto real tasks. Examples are included. © 1999 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Gas turbines

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Hybrid tuning of activation functions in feedforward neural networks

Hybrid tuning of activation functions in feedforward neural ...

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International Joint Conference on Neural Networks (IJCNN)

作者： L.N. De Castro L.A. Ramirez F. Gomide F.J. Von Zuben Department of Computer Engineering and Industrial Automation Faculty of Electrical and Computer Engineering-FEEC State University of Campinas Sao Paulo Brazil

Tuning procedures for activation functions significantly increases the flexibility and the nonlinear approximation capability of feedforward neural networks in supervised learning tasks. As a consequence, the learning process presents a better performance, with the final state of the neural network being kept away from undesired saturation regions. Based on a hybrid architecture combining a gradient strategy with a fuzzy decision model, an auto-tuning algorithm is derived to adjust additional parameters associated with the activation functions. The other conventional parameters, the connection weights between layers, are adjusted using a powerful second-order approach based on a conjugate gradient algorithm. To demonstrate the performance of the proposed method we compare this technique with the standard algorithm and with an auto-tuning strategy based solely on the gradient descent method. The three algorithm are applied to several artificial and real world benchmarks.

关键词： Intelligent networks Neural networks Feedforward neural networks Neurons Logistics computer networks Artificial neural networks Function approximation computer industry automation

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Friction compensation methods in position and speed control systems

Friction compensation methods in position and speed control ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： D. Stajic N. Peric J. Deur Faculty of Electrical Engineering and Computing Department or Control and Computer Engineering in Automation University of Zagreb Zagreb Croatia

Friction appears in the bearings and reduction gear of controlled electrical drives and affects the quality of the position, speed or force control. The servosystem performance can be improved by implementation of acceleration feedback. For the reason that acceleration measurement is often either not possible or practical, the implementation of acceleration estimation by an observer or differentiation of speed is proposed. Another approach to friction influence compensation is based on the disturbance observer. Its advantage is that it can be applied generally to the estimation of various disturbances. This paper deals with these friction compensation methods which are not based on friction model, but on the compensation of friction as a disturbance. The efficiency of these methods in a servodrive with Stribeck friction is compared by computer simulation and experimentally on a servosystem laboratory model.

关键词： Friction Velocity control Force control Servosystems Acceleration Accelerometers Gears Feedback computer simulation Laboratories

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Frequency domain analysis of B-spline interpolation

Frequency domain analysis of B-spline interpolation

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Z. Mihajlovic A. Goluban M. Zagar Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.

关键词： Frequency domain analysis Spline Interpolation Image reconstruction Convolution Filters Polynomials Data visualization Frequency response Microelectronics

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Identification of a nonlinear vibration system using simulated annealing, genetic algorithm and programming

Identification of a nonlinear vibration system using simulat...

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ASME 1999 Design engineering Technical Conferences, DETC 1999

作者： Sláma, Lubomir Krejsa, Jiří Balátĕ, Mojmir Slavík, Jan Mechatronics Centre Institute of Thermomechanics Czech Academy of Science Technicka 2 Brno616 69 Czech Republic Mechatronics Centre Institute of Thermomechanics Czech Academy of Science Czech Republic Institute of Automation and Computer Science Faculty of Mechanical Engineering TU of Brno Czech Republic Institute of Mechanics of Solids Faculty of Mechanical Engineering TU of Brno Czech Republic

ISBN: (纸本)9780791880395

Application of genetic algorithm and genetic programming to identification of a nonlinear vibration system is presented. Both the theoretical groundwork and experimental results are included. The genetic algorithm is used for identification of parameters of nonlinear stiffness and friction damping characteristics of a single-degree-of-freedom model of a vibration isolation system. The genetic programming is used for identification of a functional form and parameters of a load-deflection characteristic of a rubber isolator. Obtained results from computational experiments are presented and discussed. Results of GA are compared to results obtained by using a simulated annealing method. © 1999 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Genetic algorithms

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The B-spline interpolation in visualization

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Journal of Computing and Information Technology 1999年第3期7卷 245-253页

作者： Mihajlović, Željka Goluban, Alan Department of Electronics Microelectronics Computer and intelligent Systems Faculty of Electrical Engineering arid Computing University of Zagreb Unska 3 Zagreb10 000 Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb10 000 Croatia

The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.

关键词： Volume rendering

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An intelligent AE sensor for the monitoring of finish machining process

An intelligent AE sensor for the monitoring of finish machin...

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Proceedings of the International Conference on Intelligent Processing and Manufacturing of Materials, IPMM

作者： S. Dolinsek J. Kopac Z.J. Viharos L. Monostori Faculty of Mechanical Engineering University of Ljubljana Ljubljana Slovenia Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Presents the latest results of sensing the cutting process on the basis of acoustic emission (AE) signals and some particularities in the further development of a monitoring model for the finish turning process. Due to nonlinearity, the large number of influencing parameters and missing information in AE data, artificial neural networks were chosen as a monitoring decision tool. The problem of accuracy in predicting the surface roughness on the basis of AE-because of the mutual interdependence of the data-requires a special procedure for building a neural network model. The final aim of such an approach is presented as improvements in learning or considerable reduction in error prediction. Further development of the monitoring model has the goal of building a so-called intelligent sensor, which should be able to perform the signal conditioning and feature extraction process.

关键词： Intelligent sensors Condition monitoring Machining Signal processing Artificial neural networks Acoustic sensors Acoustic emission Turning Accuracy Rough surfaces

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Detection Filter Design in Uncertain Linear Systems: Application of The Generalized Observer Scheme

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IFAC Proceedings Volumes 1999年第2期32卷 7802-7807页

作者： A. Edelmayer J. Bokor F. Szigeti Systems and Control Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Kende u. 13-17. H-1111 Hungary Department of Control Engineering Faculty of Engineering University of Los Andes Mérida A.p. 11. La Hechicera Venezuela

In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is treated by using algebraic methods and geometric design concepts. The idea of the classical Luenberger observer is generalized in an attempt that residual generators for solving the robust FDI problem can be designed.

关键词： Bilinear systems (c, a)-invariant subspaces luenberger observers matrix lie algebra time varying systems

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Finite time output tracking control of nonlinear dynamic systems with non-minimum phase

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IFAC Proceedings Volumes 1999年第2期32卷 1396-1400页

作者： Xinghuo Yu Yuqiang Wu Man Zhihong faculty of Informatics and Communication Central Queensland UniversityRockhampton Qld 4702 Australia. Department of Automation Qufu Normal University Qufu Shandong People's Republic of China Department of Electrical Engineering and Computer Science University of Tasmania Hobart 7001 Australia.

In this paper the terminal sliding mode technique is used for solving the finite time output tracking problem for non-minimum phase nonlinear systems. A novel idea of stabilizing zero dynamics of the non-minimum phase... 详细信息

关键词： Sliding mode variable structure systems stability nonlinear systems non-minimum phase

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