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11th International Conference on electrical Machines and Systems(第11届国际电机与系统会议)

作者： Ming Cheng Xikai Sun Longya Xu Wei Hua Engineering Research Center for Motion Control of MOE School of Electrical EngineeringSoutheast Un Department of Electrical & Computer Engineering The Ohio State University Columbus 43210 USA Engineering Research Center for Motion Control of MOE School of Electrical Engineering Southeast U

A novel dual power flow wind power generation system based on electrical variable transmission (EVT) is proposed which combines the advantages of direct-driven and non-direct-driven systems. In this paper, the principles of the dual power flow wind power generation system are presented. The dynamic model and operation modes of the double layer permanent magnet outer rotor based EVT are introduced. Furthermore, the operation processes and control strategies of the novel system are simulated and analyzed. An EVT prototype machine is designed and verified by finite element analysis (FEA).

关键词： Load flow Wind power generation Magnetic analysis Power system modeling Permanent magnets Rotors Process control Analytical models Prototypes Finite element methods

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Towards effective automatic parallelization for multicore systems

Towards effective automatic parallelization for multicore sy...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Uday Bondhugula Muthu Baskaran Albert Hartono Sriram Krishnamoorthy J. Ramanujam Atanas Rountev P. Sadayappan Department of Computer Science and Engineering Ohio State Uinversity Columbus OH USA Department of Electrical & Computer Engineering and Center for Computation & Technology Louisiana State University USA

The ubiquity of multicore processors in commodity computing systems has raised a significant programming challenge for their effective use. An attractive but challenging approach is automatic parallelization of sequential codes. Although virtually all production C compilers have automatic shared-memory parallelization capability, it is rarely used in practice by application developers because of limited effectiveness. In this paper we describe our recent efforts towards developing an effective automatic parallelization system that uses a polyhedral model for data dependences and program transformations.

关键词： Multicore processing Production Bonding Optimizing compilers computer science Microarchitecture Parallel processing Parallel architectures Programming profession computer applications

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Towards net-centric system of systems robotics in air, sea and land

Towards net-centric system of systems robotics in air, sea a...

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IEEE International Conference on System of Systems engineering (SoSE)

作者： Ted Shaneyfelt Sevki Erdogan Azim Maredia Gnanadeep Vemuri Bhargavaram Pachala Dong Yue Sohel Karovalia Ming-Zhu Lu Shi-Zhong Yang Chenyu Gao Autonomous Control Engineering Center Electrical and Computer Engineering Department University of Texas San Antonio TX USA

This paper investigates how we can work towards building net-centric swarms of land, sea and air robots working together to accomplish a common goal. The goal is to bring together swarms of robots from all three sectors to safely benefit mankind without increasing dangers in the process. Several platforms are explored for simulation to investigate swarm robotics within heterogeneous environments.

关键词： Robot kinematics Orbital robotics Robot sensing systems Bandwidth Taxonomy Topology Personal digital assistants control engineering Automata Software systems

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A QFT/EEAS Design of Multivariable Robust Adaptive controllers

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IFAC Proceedings Volumes 2008年第2期41卷 6154-6159页

作者： O. Namaki-Shoushtari A. Khaki Sedigh B. Nadjar Araabi Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper presents a robust adaptive control design methodology for multi-input multi-output (MIMO) plants based on Quantitative Feedback Theory (QFT) and Externally Excited Adaptive System (EEAS), both of which are the novel ideas of Horowitz. Self Oscillating Adaptive Systems (SOAS) are proposed to mainly overcome the problem of large gain variations, which is important in certain applications. To further improve the SOAS design, the idea of EEAS was developed. Finally, combined QFT and EEAS proposed a robust adaptive controller for SISO uncertain plants. However, due to the complex design nature of the proposed combined methodology and the difficulty of an optimal design, this line of Horowitz's research was not followed further. In this paper, to overcome the above mentioned problems the design procedure is reformulated as a set of cost functions and constraints. Genetic Algorithms are then used to solve the optimal design. Also, QFT/EEAS design is extended to multivariable uncertain plants. Sufficient conditions are derived to assure the achievement of given off-diagonal performance. Then, the given main channel performance could be achieved by using SISO QFT/EEAS method. Simulation studies indicate the effective performance of the proposed QFT/EEAS MIMO design methodology. It is shown that the proposed approach can handle large plant parameter uncertainties with lower loop bandwidths.

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Revisiting the design of vertically polarized slotted waveguide array antenna

Revisiting the design of vertically polarized slotted wavegu...

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2008 Asia Pacific Microwave Conference, APMC 2008

作者： Alves, Alexandre M.P. Hernández-Figueroa, Hugo E. Oliveira, Luciano P. Barbin, Silvio E. Moreira Neto, João R. Department of Microwaves and Optics School of Electrical and Computer Engineering University of Campinas Brazil Department of Telecommunications and Control Polytechnic School of Engineering University of São Paulo Brazil Center for Information Technology Renato Archer Brazil Orbisat da Amazônia S.A. Brazil

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Introducing an incremental learning method for fuzzy descriptor models to identify nonlinear singular systems

Introducing an incremental learning method for fuzzy descrip...

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2008 Mediterranean Conference on control and Automation, MED'08

作者： Mirmomeni, M. Lucas, C. Shafiee, M. Araabi, B.N. Control and Intelligent Processing Center of Excellence School of Electrical and Computer Eng. University of Tehran Tehran Iran Electrical Engineering Department Amirkabir University of Technology Tehran Iran School of Cognitive Sciences Institute for Studeils in Theoretical Physice and Mathematics Tehran Iran

ISBN: (纸本)9781424425051

Singular systems have been the subject of interest over the last two decades due to their many practical applications. But it has to be said that system identification of such system is still a challenging area because of the difficulty of identification of such systems for their complex structures. In addition, it seems that by developing a useful method for identification of singular system, one can use the useful property of such systems in describing the natural complex phenomena. This paper presents a novel methodology for identifying nonlinear singular systems from empirical data. Singular systems are idealized models for systems with slow and quick modes of change. However, their identification is a challenging problem even for the linear case. A new learning method, generalized locally linear model tree (GLoLiMoT) algorithm is introduced. The contribution of this paper is to provide a method for adjusting the parameters of fuzzy descriptor model, e.g. the splitting ratio and the standard deviation, the number of locally linear neurons or the number of linear singular systems for the consequent part in fuzzy descriptor model as well as the order of the singular system. By these modifications an accurate model of nonlinear singular system is obtained which is compared with several other methods in two case studies. Results depict the power of the proposed approach in describing nonlinear complex phenomena. © 2008 IEEE.

关键词： Trees (mathematics)

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Anomaly size estimation by neural networks based on electrical impedance tomography boundary measurements

Anomaly size estimation by neural networks based on electric...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Saeed Rezajoo Gholam-Ali Hossein-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

A previously proposed approach based on RBF neural networks for detecting anomaly location is extended to estimate the anomaly size. First, a predefined number of threshold values are selected in the range of possible anomaly sizes. Next, RBF neural networks are used as classifiers to classify the anomaly size as being smaller or larger than each threshold value. The inputs of the classifiers are the data obtained from EIT boundary measurements. The anomaly size can be estimated by properly cascading the classifiers. The estimation precision is adjusted by the number of threshold values.

关键词： Tomography Estimation Artificial neural networks Electrodes Impedance Voltage measurement Current measurement

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A second-order controller for resonance damping and tracking control of nanopositioning systems 19

A second-order controller for resonance damping and tracking...

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19th International Conference on Adaptive Structures and Technologies 2008, ICAST 2008

作者： Aphale, Sumeet S. Fleming, Andrew J. Moheimani, S.O.R. University of Aberdeen Kings College United Kingdom ARC Center of Excellence for Complex Dynamic Systems and Control University of Newcastle Callaghan Australia School of Electrical Engineering and Computer Science University of Newcastle CallaghanNSW Australia

ISBN: (纸本)9781617389870

This paper presents a simple second-order controller that damps the resonance typical of piezoelectric nanopositioners and delivers good tracking performance. This method employs the Integral Resonant control scheme (IRC) for damping the dominant resonant mode of the piezoelectric nanopositioner and uses an integral controller to achieve tracking performance. As disturbance rejection is a main concern in nanopositioning applications, the control scheme is tested for its disturbance rejection performance. It is seen that the control scheme has good disturbance rejection characteristics deeming it suitable for nanopositioning applications. To test the tracking performance, the system is made to track a 20 Hz triangular input at various integral gains. It is shown that improved tracking performance can be achieved at high gains with only a slight degradation in disturbance rejection performance at high frequencies.

关键词： Disturbance rejection

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Improving image reconstruction in electrical impedance tomography by modifying the forward solution

Improving image reconstruction in electrical impedance tomog...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

A new approach for EIT image reconstruction, based on a modified forward solution is proposed. In this approach, the EIT forward problem is solved via finite element method using two types of elements. At the early stage of the reconstruction, first order elements are used, and as the reconstruction error becomes lower than a predefined value, second order elements are used in the forward solution. The latter stage converges to the precise results in very few iterations. Since the solution speed with first order FEM is considerably higher than second order FEM, the reconstruction speed improves considerably by this approach. Numerical simulations and comparisons with other image reconstruction methods demonstrate the reliability and high solution speed of this approach.

关键词： Finite element methods Tomography Image reconstruction Inverse problems Conductivity Impedance Permittivity

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Minimizing the Impact of Transients of Capacitive Voltage Transformers on Distance Relay

Minimizing the Impact of Transients of Capacitive Voltage Tr...

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International Conference on Power System Technology (POWERCON)

作者： F. Badrkhani Ajaei M. Sanaye-Pasand School of Electrical and Computer Engineering college of Engineering University of Tehran Tehran Iran School of Electrical and Computer Engineering college of Engineering Control and Intelligent Processing Center of Excellence ECE School University of Tehran Tehran Iran

Transient response of coupling capacitor voltage transformers (CCVT) can result in malfunctions of fast impedance relays such as overreaching, underreaching or direction errors. Detailed model of a practical CCVT is used in this paper for simulation of input source error of the distance relay caused by the transient response of the CCVT. This paper describes an improved phasor estimation technique based on least squares method for estimation of voltage and current phasors in distance relays. The method minimizes the impact of transient oscillations of the CCVT output voltage on operation of distance relay during faults. The algorithm performance is evaluated during various fault conditions. The proposed method provides higher tripping speed for close-in faults in addition to solving the overreaching problem for systems with high source to line impedance ratio (SIR).

关键词： Voltage transformers Protective relaying Circuit faults Power system transients Transient response Ferroresonance Protection Impedance Power system simulation Reactive power

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