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第十二届中国虚拟现实大会

作者： WANG Hong-rui 王洪瑞 CHEN Li-min 陈利敏 ZHAO Bing 赵冰 WANG Hong-bin 王洪斌 Key Lab of Industrial Computer Control Engineering of Hebei Province in Yanshan University Qinhuang 燕山大学工业计算机控制工程河北省重点实验室秦皇岛 066004

虚拟手术仿真系统为医学教学提供了一种方便、廉价、有效的方法。切割模拟是该系统重要组成部分，影响整个系统的实时性和真实性，因此对整个切割过程进行深入研究并提出了基于凸多边形的切割算法。首先通过遍历优化索引结构后的八叉树... 详细信息

虚拟手术仿真系统为医学教学提供了一种方便、廉价、有效的方法。切割模拟是该系统重要组成部分，影响整个系统的实时性和真实性，因此对整个切割过程进行深入研究并提出了基于凸多边形的切割算法。首先通过遍历优化索引结构后的八叉树来寻找切割起点，由起点开始，以切割轨迹为参照，采用邻居搜索策略寻找所有被切割的三角影，然后通过引入辅助单元组成凸多边形，再对凸多边形进行三角剖分，以实现网格重构。实验证明新的剖分算法抑制了模型单元数量的急剧增长，提高了三角形重构的质量。

关键词：虚拟手术仿真系统软组织切割算法凸多边形网格模型

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Performance analysis of object tracking algorithm

Performance analysis of object tracking algorithm

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3rd International Conference on Image Analysis and Signal Processing, IASP 2011

作者： Cai, Rongtai Wu, Qingxiang Wang, Ping Zhang, Xuguang Hu, Shuo School of Physics Optics Electronic Science and Technology Fujian Normal University Fuzhou 350108 China Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066000 China

ISBN: (纸本)9781612848808

This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tracking are introduced. Then, the time complexity of those object-tracking algorithms is discussed. At last, the holistic analysis and evaluation of these object-tacking algorithms are parsed from application range, tracking precision and time complexity. © 2011 IEEE.

关键词： Tracking (position)

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Efficient human action recognition using accumulated motion image and support vector machines

Efficient human action recognition using accumulated motion ...

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International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

作者： Cao, Wei Zhang, Xuguang Cao, Shukai Zhang, Jie Wang, Mingjia Han, Guangliang Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China

Vision-based human action recognition provides an advanced interface, and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion, which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a M×N regulation following the standard of training phases. Finally, we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word, our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set, but also proves practical to some real world applications, in addition, this method is computationally simple and able to achieve a satisfactory accuracy.

关键词： Support vector machines

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Approach for detecting crowd panic behavior based on fluid kinematic features and entropy

Approach for detecting crowd panic behavior based on fluid k...

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International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

作者： Cao, Shukai Zhang, Xuguang Cao, Wei Liu, Chunxia Li, Ying Li, Peng Cheng Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China

Crowd panic behavior detection is an important task in video analysis and event recognition, whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper, the crowd is regard as a fluid, and the crowd motion is described by four fluid kinematic features (divergence, vorticity, gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior, an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.

关键词： Kinematics

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Robust stabilization of nonlinear uncertain systems by dynamic output feedback

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ICIC Express Letters 2011年第7期5卷 2293-2298页

作者： Li, Jianxiong Fang, Yiming Shi, Shengli Chang, Ru Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University No. 438 Hebei Street Qinhuangdao 066004 China

This paper proposes a constructive way to design dynamic output feedback control law to stabilize a class of nonlinear systems with unknown control coefficients. The unknown parameters are described in polytopic forms, and control parameter matrices of the dynamic controller are obtained by solving series of linear matrix inequalities in sequence. It is shown that the robust asymptotic stability of closed-loop system can be guaranteed by the proposed method. Finally, a numerical example illustrates the effectiveness of the proposed algorithm. © 2011.

关键词： Nonlinear systems

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Electric power steering simulation analyze based on fuzzy PID current tracking control

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Journal of Computational Information Systems 2011年第1期7卷 119-126页

作者： Zang, Huaiquan Chen, Shuanyong Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical and Engineering Yanshan University Qinhuangdao 066004 China

Through analyzing of the electric power steering (EPS) structure and union the vehicle dynamic characteristics, this paper establishes a mathematical model of EPS. And the EPS system simulation model based on Matlab/Simulink is built. The fuzzy PID control strategy is adopted to control the actual current of the motor tracking precisely the target current, and the motor current compensation that for inhibition of road surface disturbance is taken. Conventional assist control and damping control that apply to the system with the different road and different speed are simulated and analyzed. The simulation results show that this strategy is effective and practical: target current tracking effect is better;the vehicle of steering torque decrease apparently compare with the non-assistant power system;the driver could get seemly road feel;the wallop to steering wheel is restrained effectively when the vehicle is driving on the uneven road. © 2011 Binary Information Press.

关键词： Simulink

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Speed sensorless control for wind turbine systems based on Hamiltonian model observer

Speed sensorless control for wind turbine systems based on H...

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Chinese control Conference (CCC)

作者： Li-Na Ren Fu-Cai Liu Xiao-Hong Jiao Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

Aimed at the rotor speed unmeasured, this paper presents a speed sensorless control strategy with observer for permanent magnet wind turbine generator based on port-controlled Hamiltonian (PCH) model. The PCH model is established by taking full advantage of the physics structure of wind turbine system and then the full-order observer is proposed based the PCH model to estimate rotor speed. This structure of controller is simple but also reflecting physical meaning. Moreover, an adaptive controller is investigated under the uncertain parameters and the external disturbance. The proposed strategy is proved valid by the simulation illustration.

关键词： Wind turbines Observers Sensorless control Adaptation models Computational modeling Permanent magnets Rotors

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Robust adaptive control for hydraulic servo position system with unmatched uncertainties

Robust adaptive control for hydraulic servo position system ...

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Chinese control Conference (CCC)

作者： Ru Chang Yi-Ming Fang Zhi-Jie Wang Hai-Bo Tian Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

To deal with the problems caused by unmatched uncertainties and external load disturbance exist in mill hydraulic servo position system, a robust adaptive controller design method is presented in this paper. The controller is composed of a state feedback controller and an adaptive compensator, the state feedback controller is obtained by solving a Riccati equation, and the compensator is obtained by estimating the upper bounds of the unknown external disturbances. It is proved that the global asymptotic stability of the resulting closed-loop system can be guaranteed. Finally, simulation results for the mill hydraulic servo position system illustrate the validity of the proposed algorithm.

关键词： Robustness Servomotors Backstepping Adaptive control Uncertainty

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Robust predictive control for a class of uncertain discrete system with multiple state delays

Robust predictive control for a class of uncertain discrete ...

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Chinese control Conference (CCC)

作者： Jun-Cheng Zhao Yi-Ming Fang Jian-Xiong Li Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University Qinhuangdao 066004 China

A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii function and using linear matrix inequality (LMI) method, the algorithm can convert the infinite time domain optimization problems into linear programming problems. Sufficient conditions of the existence and explicit expression for the memory state feedback controller are obtained, and the control input can satisfy constraint as well. Asymptotical stability of the closed-loop system and minimum of robust performance index can be guaranteed simultaneously. Finally, the simulation results illustrate the effectiveness of the proposed algorithm.

关键词： Robustness Predictive control Predictive models Delay Mathematical model State feedback Prediction algorithms

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Bearing Condition Monitoring and Fault Diagnosis of a Wind Turbine Using Parameter Free Detection

Bearing Condition Monitoring and Fault Diagnosis of a Wind T...

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The 2011 International Conference on Electric and Electronics(EEIC 2011)

作者： Shenggang Yang Xiaoli Li Ming Liang Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Department of Mechanical Engineering University of Ottawa

The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative part of preventive maintenance procedures in a wind turbine. This paper presents a free parameter approach to implement bearing condition monitoring and fault diagnosis. This approach extracts the amplitude and frequency modulations of faulty vibration signals that measured from a wind turbine system. The amplitude demodulation is inherent, and the fault frequency will be detected from the spectrums of the signal. The effectiveness of this approach has been validated by using simulated signal and experimental evaluation.

关键词： Bearing Condition Monitoring Fault Detection Wind turbine

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