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Analysis and Design of a Magnetically Levitated Planar Motor With Novel Multilayer Windings

IEEE Transactions on Magnetics 2015年第8期51卷

作者： Guo, Liang Zhang, He Galea, Michael Li, Jing Lu, Wenqi Gerada, Chris Faculty of Mechanical Engineering and Automation Zhejiang Sci-Tech University Hangzhou310018 China Power Electronics Machine and Control Group University of Nottingham NottinghamNG7 2RD United Kingdom University of Nottingham Ningbo315100 United Kingdom

This paper proposes a novel permanent magnet planar motor with moving multilayer orthogonal overlapping windings. This novel motor topology can achieve a five-degrees-of-freedom drive using two sets of x-direction windings and two sets of y-direction windings in a coreless configuration. The orthogonal multilayer construction guarantees a high utilization of the magnetic field and realizes decoupling between the x-direction thrust and the y-direction thrust. The topology and operating principle of the planar motor are introduced in this paper. The analytical modeling of the motor is established based on the equivalent current method, and the expressions of forces are derived. The force characteristics of the two-layer and three-layer winding topologies are compared, and the design guidelines of a planar motor are proposed. The analytical and 3-D finite-element model results are validated with the experimental results of a tested prototype. © 2015 IEEE.

关键词： Analytical models

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GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE SYSTEMS WITH PARAMETRIC UNCERTAINTIES

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Journal of Systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

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Temporal ensemble of shape functions 7

Temporal ensemble of shape functions

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7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014

作者： Brkić, Karla Aldomà, Aitor Vincze, Markus Šegvić, Siniša Kalafatić, Zoran University of Zagreb Faculty of Electrical Engineering and Computing Croatia Automation and Control Institute Vienna University of Technology Austria

ISBN: (纸本)9783905674583

This paper proposes novel descriptors that integrate information from multiple views of a 3D object, called Temporal Ensemble of Shape Functions (TESF) descriptors. The TESF descriptors are built by combining per-view Ensemble of Shape Functions (ESF) descriptors with Spatio-Temporal Appearance (STA) descriptors. ESF descriptors provide a compact representation of ten different shape functions per object view (obtained by virtually rendering the object from different viewpoints), and STA descriptors efficiently combine ESF descriptors of multiple object views. The proposed descriptors are evaluated on two publicly available datasets, the 3D-Net database and the Princeton Shape Benchmark. They provide a good performance on both datasets, similar to that of the Spherical Harmonic Descriptor (SHD), with the advantage that because of their view-based nature the TESF descriptors might prove useful for the problem of object classification from limited viewpoints. Such property is of special interest in robotics where the agent is able to move around the object to improve single-view results. © The Eurographics Association 2014.

关键词： Classification (of information)

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Rehabilitation robotics and wearable sensors as trends of home rehabilitation

Rehabilitation robotics and wearable sensors as trends of ho...

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15th International Carpathian control Conference, ICCC 2014

作者： Jobbágy, Boris Karchňák, Ján Šimšík, Dušan Department of Automation Control and Human-Machine Interactions Mechanical Engineering Faculty Technical University of Košice Košice Slovakia

ISBN: (纸本)9781479935284

The paper deals with some ideas of the current trends in home rehabilitation - rehabilitation robotics and wearable sensors. In the first section, introduction and motivation for research is described, followed by second section where robotic devices for upper limbs rehabilitation are introduced as well as short description of exoskeleton based robot for such purposes. Third section introduces MEMS sensors and its connection with wearable sensors as well as home rehabilitation. © 2014 IEEE.

关键词： Exoskeleton (Robotics)

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From linear to nonlinear model predictive control of a building 19

From linear to nonlinear model predictive control of a build...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Pčolka, Matej Žáčeková, Eva Robinett, Rush Čelikovský, Sergej Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Mechanical Engineering-Engineering Mechanics Michigan Technological University United States Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Czech Republic

ISBN: (纸本)9783902823625

In the building climate control area, the linear model predictive control (LMPC)- nowadays considered a mature technique-benefits from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time-varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is verified on a set of numerical experiments performed using a high fidelity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements. © IFAC.

关键词： Model predictive control

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Self-Adaptive image denoising based on bidimensional empirical mode decomposition (BEMD)

Self-Adaptive image denoising based on bidimensional empiric...

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作者： Song, Guo Fangjun, Luan Xiaoyu, Song Changyou, Li Information and Control Engineering Faculty Shenyang Jianzhu University No. 9 Hunnan East Road Shenyang City Liaoning China School of Mechanical Engineering and Automation Northeastern University Shenyang China

To better analyze images with the Gaussian white noise, it is necessary to remove the noise before image processing. In this paper, we propose a self-Adaptive image denoising method based on bidimensional empirical mode decomposition (BEMD). Firstly, normal probability plot confirms that 2D-IMF of Gaussian white noise images decomposed by BEMD follow the normal distribution. Secondly, energy estimation equation of the ith 2D-IMF (i=2,3,4,......) is proposed referencing that of ith IMF (i=2,3,4,......) obtained by empirical mode decomposition (EMD). Thirdly, the self-Adaptive threshold of each 2D-IMF is calculated. Eventually, the algorithm of the self-Adaptive image denoising method based on BEMD is described. From the practical perspective, this is applied for denoising of the magnetic resonance images (MRI) of the brain. And the results show it has a better denoising performance compared with other methods. © 2014 - IOS Press and the authors.

关键词： Normal distribution

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control of a continuous stirred tank reactor using advanced approaches 21

Control of a continuous stirred tank reactor using advanced ...

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21st International Congress of Chemical and Process engineering, CHISA 2014 and 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014

作者： Závacká, J. Vasičkaninová, A. Bakošová, M. Department of Information Engineering and Process Control Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 Bratislava812 37 Slovakia

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Real time speaker recognition from Internet radio

Real time speaker recognition from Internet radio

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Radoslaw Weychan Tomasz Marciniak Agnieszka Stankiewicz Adam Dabrowski Faculty of Computing Science Chair of Control and Systems Engineering

The paper presents an analysis of speaker activity in online recordings from the Internet radio. The proposed system has been developed in the Matlab environment. Our research is based on four 1-hour length public debates acquired from the Internet radio. 7-8 speakers (including one presenter) participated in the recordings. The speaker recognition was performed on short utterances to facilitate real time processing. The time of speech for each speaker has been calculated with the use of the Gaussian mixture model (GMM) algorithm. An influence of MPEG layer 3 compression algorithm on mel frequency cepstral coefficients (MFCC's) has been described. An analysis of the neighborhood of the speaker models have been done with the use of the ISOMAP algorithm.

关键词： Transform coding ISO standards Computational modeling Irrigation Europe

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Two-dimensional proximate time-optimal servomechanism

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Australian Journal of Electrical and Electronics engineering 2014年第3期11卷 317-326页

作者： Salton, A.T. Zheng, J. Flores, J.V. Lisboa, L.P. Group of Automation and Control Systems Pontificia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil Faculty of Engineering and Industrial Sciences Swinburne University of Technology HawthornVIC Australia Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Porto Alegre Brazil

This paper focuses on the development of a proximate time optimal control method for two-dimensional rigid body systems, eg. XY positioning tables. Our approach is based on the traditional proximate time-optimal servomechanism (PTOS), which starts with a near-time-optimal non-linear controller and then switches to a linear controller as the system output approaches the desired target. This work proposes to expand the PTOS, a unidirectional control law to two-dimensional systems, in order to perform linear point to point trajectories in minimum time. © Institution of Engineers Australia, 2014.

关键词： Linear control systems

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Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network

Continuous Travel Time Prediction for Transit Signal Priorit...

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International Conference on Intelligent Transportation

作者： Xiong Gang Wenwen Kang Feiyue Wang Fenghua Zhu Yisheng Lv Xisong Dong Jukka Riekki Susanna Pirttikangas State Key Lab. of Manage. & Control for Complex Syst. Institute of Automation Chinese Academy of Sciences Beijing Beijing CN The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Dongguan CHINA Faculty of Information Technology and Electrical Engineering University of Oulu Finland

It has been recognized by many researchers that accurate bus travel time prediction is critical for successful deployment of traffic signal priority (TSP) systems. Although there exist a lot of studies on travel time prediction for Advanced Traveler Information Systems (ATIS), this problem for TSP purpose is a little different and the amount of literature is limited. This paper proposes a deep learning based approach for continuous travel time prediction problem. Parameters of the deep network are fine-tuned following a layer-by-layer pre-training procedure on a dataset generated by traffic simulations. Variables that may affect continuous travel time are selected carefully. Experiments are conducted to validate the performance of the proposed model. The results indicate that the proposed model produces prediction with mean absolute error less than 4 seconds, which is accurate enough for TSP operations. This paper also reveals that, except for obvious factors like speed, travel distance and traffic density, the signal time when the prediction is made is also an important factor affecting travel time.

关键词： Vehicles Predictive models Object oriented modeling Training Artificial neural networks Data models

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