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Residual voltage transformation method for short-circuit current calculation with matrix transformation

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical engineering 2005年第23期25卷 61-65页

作者： Jiang, Tong Bai, Xue-Feng Guo, Zhi-Zhong Lu, Ying Laboratory of Power System Protection and Dynamic Security Monitoring and Control North China Electric Power University Beijing 102206 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Dept. of Electrical Engineering Tsinghua University Beijing 100084 China

Unbalanced element brings a big problem to fault analysis of symmetrical components method. According with fault analysis of phase components, a residual voltage transformation method for short-circuit current calculation is presented with matrix translation in the place of classical sequence networks connection, which is suitable for both phase coordinates and symmetrical components coordinates. Calculation formulas are proposed with matrices calculation to deal with unsymmetrical faults and parameter matrices for various faults are listed. Analysis of simultaneous faults with unbalanced parameter element is done without calculation qualities increased. Simple examples have shown that the method is practical and suitable for programming.

关键词： Short circuit currents

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ROBUST ADAPTIVE control OF TRANSVERSE FLUX PERMANENT MAGNET MACHINES USING NEURAL NETWORKS

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IFAC Proceedings Volumes 2005年第1期38卷 169-174页

作者： A Babazadeh H.R. Karimi N Parspour Institute of Electrical Drives Power Electronics and Devices University of Bremen Bremen Germany Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran DAAD Scholarship Holder at the Institute of Automation University of Bremen Germany

This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H ∞ control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.

关键词： High gain observer transverse flux permanent magnet machine H ∞ control RBF neural network output tracking

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Stability analysis and H∞ synthesis for linear systems with time-varying delays

Stability analysis and H∞ synthesis for linear systems with...

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Proceedings of the 2004 American control Conference (AAC)

作者： Xue, Anke Cao, Yong-Yan Pi, Daoying Dept. of Automation Hangzhou Inst. of Electron. Eng. Hangzhou 310037 China Dept. of Electrical Engineering University of Virginia Charlottesville VA 22903 Dept. of Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0780383354

This paper is devoted to stability analysis and synthesis of the linear systems with time-varying delays. Some new stability conditions are developed for the systems based on Lyapunov-Razumikhin theorem. Then a design method for the general state feedback controllers is proposed for the systems with multiple delays by the LMI optimization based approach. Numerical examples are used to demonstrate the effectiveness of the proposed design technique.

关键词： Linear systems

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Nonlinear system identification and control design using adaptive wavelet network 6

Nonlinear system identification and control design using ada...

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6th IFAC Symposium on Nonlinear control Systems, NOLCOS 2004

作者： Karimi, H.R. Lohmann, B. Moshiri, B. Jabchdar Maralani, P. Control and Intelligent Processing Center of Excellence Dept. of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Institute of Automation University of Bremen Otto-Hahn-Allee NW1 BremenD-28359 Germany

This paper presents an application of wavelet networks in identification and control design tor a class of non-linear dynamical systems. The technique of feedback linearization, supervisory control and H∞ control are used to design an adaptive control law and also the parameters of the wavelet networks arc adapted using a Lyapunov-based design. By some theorems, it will be proved that even in the presence of modelling errors, named network error, the stability of the overall identification scheme and the convergence of the network parameters and the boundedness of the state errors are guaranteed. Copyright © 2004 IFAC.

关键词： Feedback linearization

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Optimizing the structure of hierarchical mixture of experts using genetic algorithms

Optimizing the structure of hierarchical mixture of experts ...

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2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

作者： Karras, Dimitrios A. Vlitakis, Constantinos E. Boutalis, Yiannis S. Mertzios, Basil G. Chalkis Institute of Technology Dept. Automation Hellenic Open University Rodou 2 Ano Iliupolis Athens 16342 Greece Democritus University of Thrace Dept. Electrical Engineering 67100 Xanthi Greece Department of Automation Thessaloniki Inst. Technol. Thessaloniki Hellas Democritus University Lab. of Automatic Control System Xanthi Hellas

ISBN: (纸本)0780382781

This study is an effort to give a practical solution in the problem of optimizing the structure of the Hierarchical Mixture of Experts model, which is a natural extension of the Associative Gaussian Mixture of Experts system. We present two novel methods for optimizing such structures using Genetic Algorithms. Special concern is taken for reducing the computational time so as to efficiently allow the structure to "grow" while it evolves with the Genetic Algorithm. The main contribution of the paper lies on the efficient, topologically oriented, representations of such architectures so as to be optimized through involving genetic algorithms.

关键词： Expert systems

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Remote Experiments in control Education

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IFAC Proceedings Volumes 2004年第7期37卷 135-140页

作者： Mikuláš Huba Pavol Bisták Katarína Žáková Dept. of Automation and Control Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 Bratislava Slovakia

This paper reports about experience in building control Laboratory with remote access via Internet and in organizing the learning process with the aim to foster an active and creative learning by doing.

关键词： control education Multimedia Laboratory education Resource Based Learning Tele-experiments Flexible Learning

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Multi-rate fusion with vision and inertial sensors

Multi-rate fusion with vision and inertial sensors

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IEEE International Conference on Robotics and automation (ICRA)

作者： L. Armesto S. Chroust M. Vincze J. Tornero Dept. of Systems and Control Engineering Polytechnic University of Valencia Valencia Spain Automation and Control Institute Vienna University of Technology Vienna Austria

This work presents a multi-rate fusion model, which exploits the complimentary properties of visual and inertial sensors for egomotion estimation in applications such as robot navigation and augmented reality. The sampling of these two sensors is described with size-varying input and output equations without assumed synchronicity and periodicity of measurements. Data fusion is performed with two different multi-rate (MR) filter models, an extended (EKF) and an unscented Kalman filter (UKF). A complete dynamic model for the 6D-tracking task is given together with a method to calculate the dependencies of the covariance matrices. It is further shown that a centripetal acceleration model and the precise description of quaternion prediction for a constant velocity model highly improve the estimation error for rotary motions. The comparison demonstrates that the MR-UKF provides better estimation results at higher computational costs.

关键词： Sensor fusion Predictive models Robot sensing systems Navigation Augmented reality Sampling methods Sensor phenomena and characterization Equations Size measurement Filters

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A bisection algorithm for the mixed μ upper bound and its supremum

A bisection algorithm for the mixed μ upper bound and its s...

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Proceedings of the 2004 American control Conference (AAC)

作者： Fransson, Carl-Magnus Saunders, Michael A. Control and Automation Laboratory Department of Signals Chalmers University of Technology SE-412 96 Göteborg Sweden Systems Optimization Laboratory Dept. of Mgmt. Sci. and Engineering Stanford University Stanford CA 94305-4026 United States

A new approach to computing the mixed μ upper bound (ν) is presented. The method exploits the fact that a positive definite matrix V(α) becomes singular when the scalar parameter a decreases to a critical value for a given frequency. A two-level optimization strategy is used with a bisection algorithm branching on the definiteness of V in an outer loop, and a Semi-Definite Programming (SDP) problem is formulated in an inner loop. Three different formulations are posed for the inner loop. The first uses a feasibility formulation (no objective function) with a constraint V 0, which tends to make V singular if possible. The second introduces an additional variable that makes the SDP feasible at all times. In the third formulation, the trace of V is minimized with the constraint V 0, which tends to minimize the rank of V and hence make V singular. The method is applied to a distillation column benchmark problem. Although it is computationally more expensive than existing methods when computing ν for a single frequency, it is a conceptually simple method that can be efficient when computing the supremum of ν with respect to frequency.

关键词： control system analysis

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Haptic sensing and modeling of nanomanipulation with an AFM

Haptic sensing and modeling of nanomanipulation with an AFM

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Proceedings - 2004 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2004

作者： Fok, L.M. Liu, Y.H. Li, Wen J. Robot Control Laboratory Chinese University of Hong Kong Hong Kong Hong Kong Centre for Micro and Nano Systems Chinese University of Hong Kong Hong Kong Hong Kong Dept. of Automation and Computer-Aided Engineering Chinese University of Hong Kong

ISBN: (纸本)0780386418

This paper describes a virtual reality and haptic interface between human and the Atomic Force Microscope (AFM), which allows the operator to sense and touch the surface and nanoparticles during the manipulation with an AFM tip. The tip-sample interaction forces and intermolecular forces between the tip and surface are modeled based on Lennard-Jones potential and JKR theory, respectively. Our objective is to provide a 3D virtual reality interface capable of displaying topography of surface for the users and allow them to predict the results for the manipulation. © 2004 IEEE.

关键词： Nanotechnology

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Nano-scale mechanical test of MEMS structures by atomic force microscope

Nano-scale mechanical test of MEMS structures by atomic forc...

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World Congress on Intelligent control and automation (WCICA)

作者： L.M. Fok C.K.M. Fung Y.H. Liu W.J. Li Robot Control Laboratory The Chinese University of Hong Kong Hong Kong Hong Kong China Centre for Micro and Nano Systems The Chinese University of Hong Kong Hong Kong Hong Kong China Dept. of Automation and Computer-Aided Engineering The Chinese University of Hong Kong Hong Kong China Centre for Micro and Nano Systems The Chinese University of Hong Kong Hong Kong

This paper focuses on the nano-scale analysis of the mechanical properties of polymer and carbon nanotubes (CNT) embedded MEMS devices using the probe tip of the atomic force microscope (AFM).The mechanical properties of the surfaces of layered materials were investigated by using nanoindentation produced with the tips of an AFM. Experiment results indicated the bending characteristics of the device and also the Young's modulus of the CNT embedded micro structure. Our objective was to determine the nano-scale mechanical properties and piezoresistivity of bulk carbon nanotubes using the local probe manipulation.

关键词： Atomic force microscopy Testing Micromechanical devices Mechanical factors Atomic layer deposition Nanoscale devices Carbon nanotubes Probes Polymers Microelectromechanical devices

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