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Robust Depth Estimation by Fusion of Stereo and Focus Series Acquired with a Camera Array

Robust Depth Estimation by Fusion of Stereo and Focus Series...

引用

International Conference on Multisensor Fusion and Integration for Intelligent systems (MFI)

作者： Christian Frese Ioana Gheta Institute of Computer Science and Engineering Chair for Interactive Real-Time Systems Universität Karlsruhe Karlsruhe Germany

In order to obtain depth information from intensity sensors without auxiliary means, an image series is needed, gathered by varying at least the geometrical or focus position of the camera. Each of the fusion methods imposes certain constraints on the observed scene. With the aim of alleviating these restrictions, this contribution presents an algorithm to fuse combined stereo and focus series using energy functionals. A camera array is employed to record the series of images simultaneously

关键词： Robustness Focusing Robot vision systems Fuses Sensor arrays Layout Intelligent sensors Smart cameras Image resolution Optical arrays

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real-time implementation of a STATCOM on a wind farm equipped with doubly fed induction generators

Real-time implementation of a STATCOM on a wind farm equippe...

引用

2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting

作者： Wei, Qiao Venayagamoorthy, Ganesh K. Harley, Ronald G. Intelligent Power Infrastructure Consortium School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409-0249 United States

ISBN: (纸本)1424403642

Voltage stability is a key issue to achieve the uninterrupted operation of wind farms equipped with doubly fed induction generators (DFIGs) during grid faults. A Static Synchronous Compensator (STATCOM) is applied to a power network which includes a DFIG driven by a wind turbine, for steady state voltage regulation and transient voltage stability support. The control schemes of the DFIG rotor-side converter, grid-side converter and the STATCOM are suitably designed and coordinated. The system is implemented in real-time on a realtime Digital Simulator (RTDS®). Results show that the STATCOM improves the transient voltage stability and therefore helps the wind turbine generator system to remain in service during grid faults. © 2006 IEEE.

关键词： Wind turbines

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Synchronous reference frame based active filter current reference generation using neural networks

Synchronous reference frame based active filter current refe...

引用

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

作者： Mazumdar, Joy Harley, Ronald G. Venayagamoorthy, Ganesh K. School of Electrical and Computer Engineering Georgia Institute of Technology 777 Atlantic Drive NW Atlanta GA 30332 United States Real-Time Power and Intelligent Systems Laboratory University of Missouri-Rolla 1870 Miner Circle Rolla MO 65409 United States

ISBN: (纸本)1424401364

The increased use of nonlinear devices in industry has resulted in direct increase of harmonic distortion in the industrial power system in recent years. The significant harmonics are almost always 5th, 7th, 11th and the 13th with the 5th harmonic being the largest in most instances. Active filter systems have been proposed to mitigate harmonic currents of the industrial loads. The most important requirement for any active filter is the precise detection of the individual harmonic component's amplitude and phase. Fourier transform based techniques provide an excellent method for individual harmonic isolation, but it requires a minimum of two cycles of data for the analysis, does not perform well in the presence of subharmonics which are not integral multiples of the fundamental frequency and most importantly introduces phase shifts. To overcome these difficulties, this paper proposes a Multilayer Perceptron Neural Network trained with back-propagation training algorithm to identify the harmonic characteristics of the nonlinear load. The operation principle of the synchronous-reference-frame-based harmonic isolation is discussed. This proposed method is applied to a thyristor controlled dc drive to obtain the accurate amplitude and phase of the dominant harmonics. This technique can be integrated with any active filter control algorithm for reference generation. ©2006 IEEE.

关键词： Active filters

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Multisite co-allocation algorithms for computational grid 06

Multisite co-allocation algorithms for computational grid

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Weizhe Zhang A.M.K. Cheng Mingzeng Hu School of Computer Science and Technology Harbin Institute of Technology P.R. China Real-Time Systems Laboratory University of Houston Houston TX USA

ISBN: (纸本)9781424400546

Efficient multisite job scheduling facilitates the cooperation of multi-domain massively parallel processor systems in a computing grid environment. However, co-allocation, heterogeneity, adaptability, and scalability emerge as tough challenges for the design of multisite job scheduling models and algorithms. This paper presents a new multisite job scheduling schema based on the multisite job scheduling model and the performance model for a heterogeneous grid environment. There are three key components: resource selection, reservation, and backfilling. The optimal and greedy-heuristic adaptive resource selection strategies are introduced. The conservative and easy backfilling are incorporated into the backfilling procedure. Experiments indicate that the scheduler and the algorithm are effective and perform better than a non-adaptive algorithm

关键词： Grid computing Processor scheduling Concurrent computing Scheduling algorithm Delay computer science Scalability Power systems Power engineering computing Resource management

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Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Recurrent Neural Network Based Predictions of Elephant Migra...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： P. Palangpour G.K. Venayagamoorthy K. Duffy Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Centre for Systems Research Durban Institute of Technology Durban South Africa

A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how long elephants will stay in one area of the reserve as well as which area they will move to next is essential. The goal of this study is to train a recurrent neural network (RNN) to continuously predict an elephant herd's next position in the Pongola Game Reserve. Accurate predictions would provide a useful tool in assessing future impact of elephant populations on different areas of the reserve. The particle swarm optimization (PSO) algorithm is used to adapt the weights of the neural network. Results are presented to show the effectiveness of RNN-PSO for elephant migration prediction.

关键词： Recurrent neural networks Intelligent networks Vegetation Neural networks Africa Wildlife Particle swarm optimization Power system management Predictive models Protection

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Adaptive critic designs based coupled neurocontrollers for a static compensator

Adaptive critic designs based coupled neurocontrollers for a...

引用

IEEE International Conference on computer-Aided Design

作者： Salman Mohagheghi Ganesh K. Venayagamoorthy Ronald G. Harley School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system, using artificial neural networks, is presented in this paper. The heuristic dynamic programming (HDP) method, a member of the adaptive critic designs (ACD) family, is used for the design of the STATCOM neurocontroller. The proposed controller is a nonlinear optimal controller that provides coupled control for the line voltage and the dc link voltage regulation loops of the STATCOM. An action dependent approach is used, in which the controller is independent of a model of the network. Moreover, a proportional-integrator approach allows the neurocontroller to deal with the actual signals rather than the deviations. Simulation results are provided to show that the proposed ACD based neurocontroller is more effective in controlling the STATCOM compared to finely tuned conventional PI controllers.

关键词： Neurocontrollers STATCOM Automatic voltage control Voltage control Optimal control Power system dynamics Power systems Artificial neural networks Dynamic programming Couplings

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Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization

Optimal STATCOM Sizing and Placement Using Particle Swarn Op...

引用

IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Y. del Valle J. C. Hernandez G. K. Venayagamoorthy R. G. Harley Department of Electrical and Computer engineering Georgia Institute of Technology Atlanta GA USA Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory University of Missouri-Rolla MO USA

Heuristic approaches are traditionally applied to find the size and location of flexible AC transmission systems (FACTS) devices in a small power system. Nevertheless, more sophisticated methods are required for placing them in a large power network. Recently, the particle swarm optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of PSO for optimal sizing and allocation of a static compensator (STATCOM) in a power system. A 45 bus system (part of the Brazilian power network) is used as an example to illustrate the technique. Results show that the PSO is able to find the best solution with statistical significance and a high degree of convergence. A detailed description of the method, results and conclusions are also presented

关键词： Automatic voltage control Power systems Particle swarm optimization Flexible AC transmission systems Power system simulation Evolutionary computation Power engineering Power generation STATCOM Optimization methods

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Synchronous Reference Frame Based Active Filter Current Reference Generation Using Neural Networks

Synchronous Reference Frame Based Active Filter Current Refe...

引用

Annual Conference of Industrial Electronics Society

作者： Joy Mazumdar Ronald G Harley Ganesh K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla Rolla MO USA

The increased use of nonlinear devices in industry has resulted in direct increase of harmonic distortion in the industrial power system in recent years. The significant harmonics are almost always 5th, 7th, 11th and the 13th with the 5th harmonic being the largest in most instances. Active filter systems have been proposed to mitigate harmonic currents of the industrial loads. The most important requirement for any active filter is the precise detection of the individual harmonic component's amplitude and phase. Fourier transform based techniques provide an excellent method for individual harmonic isolation, but it requires a minimum of two cycles of data for the analysis, does not perform well in the presence of subharmonics which are not integral multiples of the fundamental frequency and most importantly introduces phase shifts. To overcome these difficulties, this paper proposes a multilayer perceptron neural network trained with back-propagation training algorithm to identify the harmonic characteristics of the nonlinear load. The operation principle of the synchronous-reference-frame-based harmonic isolation is discussed. This proposed method is applied to a thyristor controlled DC drive to obtain the accurate amplitude and phase of the dominant harmonics. This technique can be integrated with any active filter control algorithm for reference generation

关键词： Active filters Synchronous generators Neural networks Power system harmonics Power harmonic filters Harmonic distortion Industrial power systems Phase detection Fourier transforms Data analysis

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Intelligent optimal control of excitation and turbine systems in power networks

Intelligent optimal control of excitation and turbine system...

引用

IEEE General Meeting Power& Energy Society

作者： G.K. Venayagamoorthy R.G. Harley Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation and turbine systems. The crucial factors affecting the modern power systems today is voltage control and system stabilization during small and large disturbances. Simulation studies and real-time laboratory experimental studies carried out are described and the results show the successful control of the power system excitation and turbine systems with adaptive and optimal neurocontrol approaches. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances

关键词： Intelligent control Intelligent networks Optimal control Turbines Power system simulation Power system control Power system modeling Power systems Power grids Voltage control

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real-time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators

Real-Time Implementation of a STATCOM on a Wind Farm Equippe...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Wei Qiao Ganesh K. Venayagamoorthy Ronald G. Harley School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Voltage stability is a key issue to achieve the uninterrupted operation of wind farms equipped with doubly fed induction generators (DFIGs) during grid faults. A static synchronous compensator (STATCOM) is applied to a power network which includes a DFIG driven by a wind turbine, for steady state voltage regulation and transient voltage stability support. The control schemes of the DFIG rotor-side converter, grid-side converter and the STATCOM are suitably designed and coordinated. The system is implemented in real-time on a real-time Digital Simulator (RTDSreg). Results show that the STATCOM improves the transient voltage stability and therefore helps the wind turbine generator system to remain in service during grid faults

关键词： Automatic voltage control Wind farms Induction generators Stability Wind turbines real time systems Steady-state Voltage control Rotors Mesh generation

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