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Electrolytic capacitor free and reduced 120[Hz] ripple on the output of a single-stage CCM flyback converter with power factor correction for LED lightings

Electrolytic capacitor free and reduced 120[Hz] ripple on th...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Min-Cheol Chae Joonmin Lee Jae-Du La Young-Jo Kim Young-Seok Kim Department of Electrical Engineering Inha University Korea Department of Electrical Information Inha Technical College Korea Dept. of Computer Control Yuhan College Korea

Interest of light emitting diode (LED) lightings is more and more increased because of its low power consumption and long lifetime. Generally, the LED lighting is driven by a power converter. Electrolytic capacitors are used for stabilizing the output ripple of the power converter. However, the expected lifetime of electrolytic capacitors is very shorter than LED or other components in the power converter. As the result of that, expected life time of LED lighting is decreased. In this paper, a single-stage CCM flyback converter without electrolytic capacitors is proposed. The proposed converter is verified through simulations and experiment.

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An SSVEP-Based BCI System with SOPC Platform for Electric Wheelchairs

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计算机科学与技术汇刊（中英文版） 2014年第2期3卷 35-40页

作者： Jzau-Sheng Lin Mei Wang Cheng-Hung Hsieh Dept. of Computer Science and Information Eng. National Chin-Yi University of Technology Taichung 41170 Taiwan College of Electrical and Control Engineering Xi'an University of Science and Technology Xi'an 710054 China

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Teaching robotics and virtual reality in a synergistic approach

Teaching robotics and virtual reality in a synergistic appro...

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2013 7th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2013

作者： Buiu, Catalin Buga, Andreea Coman, Andreea Monica Dept. of Automatic Control and Systems Engineering Politehnica University of Bucharest Romania

ISBN: (纸本)9781479931811

This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information technology students to some fundamental concepts, through the use of simulation, experiments on real robots and design of robotic creatures in virtual environments. Course objectives, methodological aspects and the main technical solutions are presented in detail. A survey has been proposed in order to evaluate the impact of this course, and parts of it are presented and commented. © 2013 IEEE.

关键词： Virtual reality

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A data clustering algorithm based on mussels wandering optimization

A data clustering algorithm based on mussels wandering optim...

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IEEE International Conference on Networking, Sensing and control

作者： Peng Yan ShiYao Liu Qi Kang BingYao Huang MengChu Zhou Dept. of Control Science and Eng Tongji University Shanghai China Department of Electrical & Computer Engineering Rowan University Glassboro NJ USA Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

As an unsupervised learning method, clustering methods plays an important role in quality data mining and various other applications. This work investigates them based on swarm intelligence, introduces a new intelligence algorithm called mussels wandering optimization (MWO) to the data clustering field, and proposes a new clustering algorithm by combining K-means clustering method and MWO. Tests on six standard data sets are performed. The results demonstrate the validity and superiority of the proposed method over some representative clustering ones.

关键词： Reactive power Iris Particle swarm optimization Standards Sociology Statistics Vehicles

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Practical relative degree in SMC systems: Frequency domain approach

Practical relative degree in SMC systems: Frequency domain a...

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International Workshop on Variable Structure Systems, VSS

作者： Antonio Rosales Leonid Fridman Yuri Shtessel Deparment of Control and Robotics National Autonomus University of Mexico Mexico City Mexico Electrical and Computer Engineering Dept. The University of Alabama in Huntsville Huntsville AL USA

A variety of output regulation problems can be addressed via sliding mode control when system's relative degree is known. The difficulties in the implementation of sliding mode controllers emerge when the relative degree is unknown. On the other hand, practical systems controlled by sliding mode algorithms always work under tolerance limits, which are frequently known. This behavior is called real sliding motion. In this work, the concept of practical relative degree in single-input-single-output systems controlled by sliding mode controllers is revisited from the view point of frequency analysis. Practical relative degree is understood as the smallest order of the sliding mode controller that satisfies the tolerance limits. Also, the notion of practical relative degree is analyzed in terms of the definitions of performance margins. The usefulness of the proposed concept is the way to design sliding mode controllers for systems that can be considered a black-box. The practical relative degree is studied and illustrated via examples and simulations.

关键词： Limit-cycles Equations Mathematical model Frequency-domain analysis Sliding mode control Closed loop systems

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SMC with Linear Dynamic Compensator Design: Performance Margins Approach

SMC with Linear Dynamic Compensator Design: Performance Marg...

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IEEE Annual Conference on Decision and control

作者： Antonio Rosales Leonid Fridman Yuri Shtessel Deparment of Control and Robotics Faculty of Engineering National Autonomus University of Mexico 4510 Mexico City Mexico Electrical and Computer Engineering Dept. The University of Alabama in Huntsville Huntsville AL 35899 USA

ISBN: (纸本)9781467360890

In this work, the performance of the real sliding mode is characterized with the notion of performance margins under the assumption that the real sliding motion presents a limit cycle with acceptable amplitude and acceptable frequency. The performance of sliding mode controllers, in real sliding motion, is improved by means of the addition of linear compensators in cascade connection with the plant. The applied compensators are phase lead controllers which modify the frequency response of the plant in order to meet the required performance margins adding robustness to the system. Bode diagram interpretation of performance margins is presented for the first time allowing the utilization of SMC combined with the classical methodology of linear compensator design where it is possible shape the Bode diagram in order to obtain desired values of performance margins. Examples supporting the proposed idea are presented.

关键词： Bode diagrams frequency response margins limit cycles Cascade connections design performance COMPENSATORS Sliding mode

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Planning Mobile Robots with Boolean-based Specifications

Planning Mobile Robots with Boolean-based Specifications

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IEEE Annual Conference on Decision and control

作者： Cristian Mahulea Marius Kloetzer Aragon Institute of Engineering Research (I3A) University of Zaragoza Maria de Luna 1 50018 Zaragoza Spain Dept. of Automatic Control and Applied Informatics Technical University "Gheorghe Asachi" of Iasi Romania

ISBN: (纸本)9781467360890

This research proposes an automated method for planning a team of mobile robots such that a Boolean-based mission is accomplished. The specification consists of logical requirements over some regions of interest for the agents' trajectories and for their final states. A Petri net (PN) with outputs models the movement capabilities of the team and the active regions of interest. The imposed specification is translated to a set of linear restrictions for some binary variables, the robot movement capabilities are formulated as linear constraints on PN markings, and the evaluations of the binary variables are linked with PN markings via linear inequalities. This allows us to solve a Mixed Integer Linear Programming problem whose solution yields robotic trajectories satisfying the task.

关键词： Mobile robots Specifications Automated methods Pigmentation Mixed integer linear programming trajectory

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BLOCKWISE COORDINATE DESCENT SCHEMES FOR SPARSE REPRESENTATION

BLOCKWISE COORDINATE DESCENT SCHEMES FOR SPARSE REPRESENTATI...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Bao-Di Liu Yu-Xiong Wang Bin Shen Yu-Jin Zhang Yan-Jiang Wang Coll. of Information and Control Engineering China University of Petroleum Qingdao 266580 China School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA Dept. of Computer Science Purdue University West Lafayette IN 47907 USA Dept. of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781479928941

The current sparse representation framework is to decouple it as two subproblems, i.e., alternate sparse coding and dictionary learning using different optimizers, treating elements in bases and codes separately. In this paper, we treat elements both in bases and codes homogenously. The original optimization is directly decoupled as several blockwise alternate subproblems rather than above two. Hence, sparse coding and bases learning optimizations are coupled together. And the variables involved in the optimization problems are partitioned into several suitable blocks with convexity preserved, making it possible to perform an exact block coordinate descent. For each separable subproblem, based on the convexity and monotonic property of the parabolic function, a closed-form solution is obtained. Thus the algorithm is simple, efficient and effective. Experimental results show that our algorithm significantly accelerates the learning process.

关键词： Convexity Alkali descent Elements Sparse coding Learning processes Base materials Bases DECOUPLING Alternate Codes

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controller Modification Applied for Active Fault Detection

Controller Modification Applied for Active Fault Detection

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American control Conference

作者： Henrik Niemann Jakob Stoustrup Niels Kjolstad Poulsen Dept. of Electrical Engineering Automation and Control Tech. University of Denmark DK-2800 Kgs. Lyngby Denmark Dept. of Electronic Systems Automation & Control Aalborg University DK-9220 Aalborg Denmark Dept. of Applied Mathematics and Computer Science Tech. University of Denmark DK-2800 Kgs. Lyngby Denmark

ISBN: (纸本)9781479932757

This paper is focusing on active fault detection (AFD) for parametric faults in closed-loop systems. This auxiliary input applied for the fault detection will also disturb the external output and consequently reduce the performance of the controller. Therefore, only small auxiliary inputs are used with the result that the detection and isolation time can be long. In this paper it will be shown, that this problem can be handled by using a modification of the feedback controller. By applying the YJBK-parameterization (after Youla, Jabr, Bongiorno and Kucera) for the controller, it is possible to modify the feedback controller with a minor effect on the external output in the fault free case. Further, in the faulty case, the signature of the auxiliary input can be optimized. This is obtained by using a band-pass filter for the YJBK parameter that is only effective in a small frequency range where the frequency for the auxiliary input is selected. This gives that it is possible to apply an auxiliary input with a reduced amplitude. An example is included to show the results.

关键词： Active fault detection parametric faults feedback controllers YJBK parameterization controller modification

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Class specific dictionary learning for face recognition

Class specific dictionary learning for face recognition

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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Bao-Di Liu Bin Shen Yu-Xiong Wang College of Information and Control Engineering China University of Petroleum Qingdao China Dept. of Computer Science Purdue University West Lafayette IN USA School of Computer Science Carnegie Mellon University Pittsburgh PA USA

Recently, sparse representation based classification (SRC) has been successfully used for visual recognition and showed impressive performance. Given a testing sample, SRC computes its sparse linear representation with respect to all the training samples and calculates the residual error for each class of training samples. However, SRC considers the training samples in each class contributing equally to the dictionary in that class, i.e., the dictionary consists of the training samples in that class. This may lead to high residual error and instability. In this paper, a class specific dictionary learning algorithm is proposed. First, by introducing the dual form of dictionary learning, an explicit relationship between the bases vectors and the original image features is represented, which enhances the interpretability. SRC can be thus considered to be a special case of the proposed algorithm. Second, blockwise coordinate descent algorithm and Lagrange multipliers are then applied to optimize the corresponding objective function. Extensive experimental results on three benchmark face recognition datasets demonstrate that the proposed algorithm has achieved superior performance compared with conventional classification algorithms.

关键词： Dictionaries Training Testing Support vector machines Face recognition Linear programming Face

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