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International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD

作者： Qing Fang Teng Wei Zhong Zhang Jian Guo Zhu You Guang Guo Department of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou China Faculty of Engineering and Information Technology University of Technology Sydney Sydney Australia

ISBN: (纸本)9781424478521

The paper discusses the design of protection circuits responsible for the reliability of arc welding power supply. The protection circuits include three parts, and they are soft-start circuit for anti-surge, circuit for eliminating transformer DC bias magnetic field and circuit for transient over-voltage suppression, respectively. The detail calculations about component parameters of these circuits are given. The transformer and the power devices in this paper are regarded as ideal devices. Meanwhile, their losses are neglected. The method can provide certain guide for improving reliability of protection circuit.

关键词： Power supplies Capacitors Welding Surges Switches Inverters Reliability

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An Anti-Slip Predictive controller for a V-PRA Vehicle

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IFAC Proceedings Volumes 2011年第1期44卷 8415-8420页

作者： Carmen COCHIOR Robin De KEYSER Corneliu LAZAR Electrical Engineering Department Eindhoven University of Technology Eindhoven Netherlands EeSA-Department of Electrical energy Systems & Automation Ghent University Ghent Belgium Department of Automatic Control and Applied Informatics Faculty of Automatic Control and Computer Engineering Technical University Gh. Asachi Iasi Romania

Abstract In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictive control (MPC) strategy. It uses explicitly a model of the system for the prediction of the future system output, in order to calculate the optimal control input which will bring the system to a required setpoint. The main goals of this predictive controller were setpoint trajectory following, disturbance rejection and maintain overall the stability of the V-PRA vehicle. Although the process is non-linear, being influenced by several parameters, linear discrete-time ARX models could be obtained based on system linearization around an operating point. An initial SISO controller was developed and tested, based on a Simulink model of the process. The control performances were tested successfully in presence of all kind of disturbances, denoting a robust controller.

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Modeling and Simulation of 500 kV Transmission Network for Numerical Fault Calculation, Detection, Using PSCAD/EMTDC

Modeling and Simulation of 500 kV Transmission Network for N...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Pairoj Kajoijilertsakul Santi Asawasripongtorn Peerayot Sanposh Jittiwut Suwatthikul Hideaki Fujita Department of Electrical Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Bangkok Thailand Department of Electrical and ElectronicEngineering Tokyo Institute of Technology Tokyo Japan

This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location.

关键词： Integrated circuit modeling Circuit faults PSCAD EMTDC Protective relaying Power transmission lines RLC circuits

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Virtual nano-hand: A stable pushing strategy in AFM based sensorless nanomanipulation

Virtual nano-hand: A stable pushing strategy in AFM based se...

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Wang, Zhiyu Liu, Lianqing Hou, Jing Wang, Zhidong Yuan, Shuai Dong, Zaili State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan Faculty of Electrical and Control Engineering Liaoning Technical University Huludao 125105 China Graduate School of Chinese Academy of Sciences Beijing 100001 China College of Information Science and Engineering Northeastern University Shenyang 110004 China

ISBN: (纸本)9781457721373

One of the prerequisites for AFM based nanomanipulation is that the position of the target nanoparticle can be stable controlled within a known area, while this prerequisite is still hindered by the uncertainties including the initial position of the nanoparticle and of the AFM tip, together with the uncertain forces from the substrate and so on. In this paper, a Stochastic Pushing (SP) model and a Stable Pushing Strategy are proposed respectively, which can push the nanoparticle into a bounded target area within a given probability. Simulations and experiment based on the proposed SP model demonstrate the validity of the Stable Pushing Strategy. © 2011 IEEE.

关键词： Nanoparticles

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Wavelet based fault detection, classification and location in existing 500 kV transmission line

Wavelet based fault detection, classification and location i...

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International Conference on electrical engineering/Electronics, Computer, Telecommunications and information technology, ECTI-CON

This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location.

关键词： Entropy PSCAD EMTDC Power measurement TV Tin Surges

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Analysis and design of a bidirectional DC-DC converter with current doubler rectifier used in Smart Grid

Analysis and design of a bidirectional DC-DC converter with ...

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International Aegean Conference on electrical Machines and Power Electronics, ACEMP

作者： T. Patarau D. Petreus S. R. Daraban R. A. Munteanu D. Moga A. Rusu Applied Electronics Department Faculty of Electronics Telecommunications and Information Technology Technical University of Cluj Napoca Romania Electrical Measurements Department Faculty of electrical engineering Technical University of Cluj Napoca Romania Automation Department Faculty of Automation and Computer Science Technical University of Cluj Napoca Romania

Distributed generation systems convert energy from solar panels, wind turbines, fuel cells etc. and supply DC/AC buses with energy of improved quality. The article describes the analysis and design of a mixed topology consisting of a phase shift converter responsible for transferring energy from the DC bus to the storage elements, and an interleaved boost converter responsible for transferring energy from the storage element to the DC bus. A new method for controlling the reverse transfer mode is developed. Also a new method for the determination of the transfer functions of the converter will be presented.

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A novel type of trigonometric neural network trained by Extended Kalman Filter

A novel type of trigonometric neural network trained by Exte...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

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Feedback design for the Acrobot walking-like trajectory tracking and computational test of its exponential stability

Feedback design for the Acrobot walking-like trajectory trac...

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IEEE International Symposium on Computer Aided control System Design (CACSD)

作者： Milan Anderle Sergej Čelikovský Institute of Information Theory and Automation Academy of Sciences of Czech Republic Prague Czech Republic Faculty of Electrical Engineering Department of Control Engineering Czech Technical University in Prague Prague Czech Republic

This paper aims to the further improve of the previously developed design for the Acrobot walking based on the partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost linear system where error dynamics along trajectory to be tracked is a 4 dimensional linear time varying system having 3 time varying entries only. Unlike previous approaches treating time varying entries as uncertainties with various extent of conservatism, the present paper takes into the account an information about these time varying functions including their derivatives up to order 4. Using that, the time varying state and the feedback transformation enable to design a fundamental matrix of the error dynamics in an explicit form and pre-designed stability properties. In particular, product of that fundamental matrix at the end of the single support walking phase by the impact map Jacobian enables directly prove stability of the hybrid cyclic walking like trajectory by computing certain 4×4 matrix and determining numerically whether its eigenvalues lie within the unit circle. This combination of analytical and numerical computations provides the justification of the exponential stability of the walking-like trajectory tracking. Moreover, it is supported by numerical simulations showing practically unlimited number of steps of the Acrobot “walking”.

关键词： Legged locomotion Trajectory Stability analysis Eigenvalues and eigenfunctions Equations Jacobian matrices Time varying systems

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A Complementary Modularized Ramp Metering Approach Based on Iterative Learning control and ALINEA

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IEEE Transactions on Intelligent Transportation Systems 2011年第4期12卷 1305-1318页

作者： Zhongsheng Hou Xin Xu Jingwen Yan Jian-Xin Xu Gang Xiong Advanced Control Systems Laboratory School of Electronic and Information Engineering Beijing Jiaotong University BJTU Beijing China Institute of Automation College of Mechatronics and Automation National University of Defense Technology Changsha China Department of Electrical and Computer Engineering National University of Singapore Singapore Automation Institute Chinese Academy of Sciences (CAS) Beijing China

Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutière (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given to verify the effectiveness of the proposed approaches.

关键词： Traffic control Mathematical model Convergence Learning systems Feedforward neural networks

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An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm

An Intelligent Decision Support Tool for a Travelling Wave U...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Seref Sagiroglu H. Tolga Kahraman Mehmet Yesilbudak Ilhami Colak Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Software Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

Driving frequency, amplitude and phase difference of two-phase sinusoidal voltages are the input parameters which have influence on speed stability of travelling wave ultrasonic motors (TWUSMs).These parameters are also time-varying due to the variations in operating temperature. In addition, a complete mathematical model of the TWUSM has not been derived yet. Owing to these reasons, a machine learning approach is required for determining the compatibility of operating parameters related to speed stability of TWUSMs. For this purpose, an intelligent decision support tool has been designed for TWUSMs in this study. The input parameters such as driving frequency, amplitude, phase difference of two-phase sinusoidal voltages and operating temperature were evaluated by the k-nearest neighbor algorithm in the decision support tool. The results have shown that the proposed tool provides effective results in the compatibility determination of operating parameters related to speed stability of TWUSMs.

关键词： Acoustics Measurement Classification algorithms Training Stability analysis Thermal stability Algorithm design and analysis

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