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2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)最新文献

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Shunt active power filter based on a novel sliding mode backstepping control for three-phase three-wire system 基于新型滑模反步控制的三相三线制并联有源电力滤波器
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987552
Lihua Deng, J. Fei, Changchun Cai
This paper presents a global fast terminal sliding mode (GFTSM) control based on backstepping design for active power filter(APF). Power system is a typical nonlinear system. Its mathematic model can be reduced order by backstepping method. Power system is decomposed into low-level subsystems until finalizing the design of the control law. The System's stability is ensured by Lyapunov framework. The sliding mode control is added into backstepping control to expand the application scope of control. The sliding mode control doesn't need accurate model of system. Therefore robustness of APF control is improved. Global fast terminal control is added into sliding mode control. The nonlinear term of GFTSM control makes the system converge quickly when far from equilibrium point, and the linear term do when near equilibrium point. It makes the system's state tracking error reach zero in finite time. The control speed of system is enhanced. An experiment based on MATLAB/SIMULINK is designed to compare GFTSM backstepping control with pure backstepping control, and experimental results confirm the validity of proposed APF controller for a three-phase three-wire system.
提出了一种基于反步设计的有源电力滤波器全局快速终端滑模控制方法。电力系统是一个典型的非线性系统。它的数学模型可以用反演法降阶。在控制律设计完成之前,将电力系统分解为低层次子系统。系统的稳定性由Lyapunov框架保证。在反步控制中加入滑模控制,扩大了控制的适用范围。滑模控制不需要精确的系统模型。从而提高了有源滤波器控制的鲁棒性。在滑模控制中加入了全局快速终端控制。GFTSM控制的非线性项使系统在远离平衡点时收敛速度快,而线性项在接近平衡点时收敛速度快。使系统的状态跟踪误差在有限时间内达到零。提高了系统的控制速度。设计了基于MATLAB/SIMULINK的实验,将GFTSM反步控制与纯反步控制进行了比较,实验结果验证了所提出的有源滤波器控制器在三相三线制系统中的有效性。
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引用次数: 1
Leader-following formation and heading control of networked quadcopters 网络化四轴飞行器的leader -follow编队与航向控制
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987915
A. Mahmood, Yoonsoo Kim
This paper deals with leader-following formation control and heading synchronization for a group of quadcopters. Unlike most of the existing works that involve a complex design of nonlinear formation and heading control laws for quadcopters, this work proposes a simple linear law especially for quadcopters in leader-following formation. In fact, the quadcopter dynamics involves state variables being coupled nonlinearly. However, it is shown that the dynamics can be treated as a linear system via a feedback linearization scheme. Consequently, a linear formation and heading control law can be designed for the linear system such that (1) the group of quadcopters achieves a desired formation (desired relative altitude and hovering) through local information exchange; (2) follower quadcopters synchronize their heading angles with the leader's; and (3) the leader quadcopter moves along a prescribed path to guide the formation. Although the present work considers quadcopter dynamics only, the proposed methodology can also be applied to various attitude synchronization problems arising in space and robotic applications.
本文研究了一组四轴飞行器的leader-follow编队控制和航向同步问题。与大多数涉及四轴飞行器非线性编队和航向控制律的复杂设计的现有工作不同,本工作提出了一个简单的线性律,特别是针对四轴飞行器的领导-跟随编队。实际上,四轴飞行器动力学涉及到状态变量的非线性耦合。然而,通过反馈线性化方案可以将动力学视为一个线性系统。因此,可以为线性系统设计线性队形和航向控制律,使(1)四轴飞行器组通过局部信息交换达到期望队形(期望相对高度和悬停);(2) follower四轴飞行器与leader四轴飞行器同步航向角;(3)领队四轴飞行器沿着规定的路径移动,引导编队。虽然目前的工作只考虑四轴飞行器动力学,但所提出的方法也可以应用于空间和机器人应用中出现的各种姿态同步问题。
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引用次数: 6
Robust localization using RGB-D images 使用RGB-D图像的鲁棒定位
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987940
Yoonseon Oh, Songhwai Oh
Visual information extracted from RGB images has been successfully used for mobile robot localization. The main difficulty with localization using RGB images is that visual features from RGB images are not completely invariant against changes in viewpoints and lighting conditions. This problem can be overcome using features from RGB-D images. In this paper, we evaluate two depth features, depth patches and histograms of oriented normal vectors, extracted from RGB-D images for localization of a mobile robot and demonstrate that robust localization is possible under varying lighting conditions.
从RGB图像中提取的视觉信息已成功用于移动机器人的定位。使用RGB图像进行定位的主要困难在于,RGB图像的视觉特征对于视点和光照条件的变化并不是完全不变的。这个问题可以通过使用RGB-D图像中的特征来解决。在本文中,我们评估了从RGB-D图像中提取的两个深度特征,深度补丁和定向法向量直方图,用于移动机器人的定位,并证明了在不同光照条件下的鲁棒定位是可能的。
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引用次数: 0
A quadrocopter automatic control contest as an example of interdisciplinary design education 四旋翼飞行器自动控制竞赛作为跨学科设计教育的一个例子
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987866
C. Nitschke, Y. Minami, Masayuki Hiromoto, Hiroaki Ohshima, Takashi Sato
Unmanned aerial vehicles (UAVs) have many applications and quickly gain popularity with the availability of low-cost micro aerial vehicles (MAVs). Robotics is a popular interdisciplinary education target as it involves understanding and collaboration of several disciplines. Thus, UAVs can serve as an ideal study platform. However, as robotics requires technical background, skills and initial efforts, it is commonly applied in long-term courses. In this paper we successfully exploit the opposite case of robotics in short-term education for students without background, in form of a one-day contest on automatic visual UAV navigation. We provide an extensive survey, and show that existing material and tools do not fit the task and lack in technical aspects. We introduce a novel open-source programming library that comprises programs to guide learning by experience and allow rapid development. It makes contributions to marker-based tracking, with a novel nested-marker design and accurate calibration parameters estimated from 14 Parrot AR.Drone 2.0 front cameras. We show a detailed discussion of the contest results, which represents an extensive user study regarding robotics in education and the effectiveness of the library. The achievement of a steep learning curve for a complex subject has important implications in interdisciplinary design education, as it allows deep understanding of potentials and limitations to facilitate decision-making, unconventional problem solutions and novel applications.
随着低成本微型飞行器(MAVs)的出现,无人驾驶飞行器(uav)的应用越来越广泛。机器人是一个受欢迎的跨学科教育目标,因为它涉及到多个学科的理解和合作。因此,无人机可以作为一个理想的研究平台。然而,由于机器人技术需要技术背景、技能和最初的努力,它通常应用于长期课程。在本文中,我们成功地利用了机器人在短期教育中的相反情况,为没有背景的学生提供了为期一天的自动视觉无人机导航竞赛。我们提供了一个广泛的调查,并表明现有的材料和工具不适合任务和缺乏技术方面。我们引入了一种新颖的开源编程库,其中包含指导经验学习的程序,并允许快速开发。它通过新颖的嵌套标记设计和从14个Parrot AR.Drone 2.0前置摄像头估计的准确校准参数,为基于标记的跟踪做出了贡献。我们展示了对比赛结果的详细讨论,这代表了关于机器人教育和图书馆有效性的广泛用户研究。在复杂学科中实现陡峭的学习曲线对跨学科设计教育具有重要意义,因为它允许深入了解潜力和局限性,以促进决策,非常规问题解决方案和新颖应用。
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引用次数: 21
Spoofing detection module test of GPS Jamming monitoring system GPS干扰监测系统欺骗检测模块测试
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987922
Seongkyun Jeong, Sanguk Lee, Jaehoon Kim
The GNSS(Global Navigation Satellite System) is used widely and generally these days. The satellite navigation system provides navigation service globally and doesn't need an extra cost to use. Thus this system is portrayed as public service. But this system has a weak point. The satellite signal strength is very weak on the ground so this system is vulnerable against interference signal. When the GNSS interference signal is induced, the receiver cannot operate normally. The interference is presented by jamming or spoofing about GNSS signal. The effect of the interference can be done in various field from car navigation to national infrastructure like mobile communication, power plant, etc. ETRI(Electronics and Telecommunications Research Institute) developed GPS Jamming monitoring system for monitoring interference of GNSS signal. The developed GPS Jamming monitoring system has the functions which are jamming & spoofing detection and jamming location with direction finders. Among the technologies of GPS Jamming monitoring system, this paper describes spoofing detection module. This module monitors GPS signal and detects the spoofing signal with measurement and message of receiver. ETRI performed the functional test of developed spoofing detection module through the spoofing signal generation equipment. In this test, we confirm that the spoofing signal is induced in GPS receiver and verify the performance of spoofing detection.
目前,全球卫星导航系统(GNSS)得到了广泛而普遍的应用。卫星导航系统提供全球导航服务,不需要额外费用。因此,这个系统被描绘成公共服务。但是这个系统有一个弱点。地面卫星信号强度非常弱,因此该系统容易受到干扰信号的影响。当GNSS干扰信号被诱导时,接收机无法正常工作。干扰主要表现为对GNSS信号的干扰或欺骗。从汽车导航到移动通信、电厂等国家基础设施等各个领域都可以受到干扰的影响。ETRI(电子通信研究所)开发了GPS干扰监测系统,用于监测GNSS信号的干扰。研制的GPS干扰监测系统具有干扰欺骗检测和测向干扰定位功能。在GPS干扰监测系统的技术中,本文介绍了欺骗检测模块。该模块对GPS信号进行监测,利用接收机的测量和信息检测欺骗信号。ETRI通过欺骗信号产生设备对开发的欺骗检测模块进行了功能测试。在本次测试中,我们确认了GPS接收机中诱导了欺骗信号,并验证了欺骗检测的性能。
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引用次数: 1
A study on gripping control of robotic hand with ten joints for cooperative working 十关节机械手协同工作抓取控制研究
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6988009
Moon-Youl Park, Jun-seok Yang, Y. Koo, B. Shim, Y. Jeong, E. Kang, Sung-Hyun Han
Recently it is very important to control robot hands more compact and precise sensors in order to increase compensate the grasping capability and to reduce cabling through the finger in the manipulator. As a matter of fact, the miniaturization and cabling harness represents a significant limitation to the design of small sized precise sensor. The main focus of this research is on a robust grasping control of hand fingers, which consists of a flexible multi-fingered with ten joints.
为了提高机械手的抓握补偿能力,减少机械手手指间的布线,对机械手进行更紧凑、更精密的传感器控制已成为当前研究的重要课题。事实上,小型化和线束布线是小尺寸精密传感器设计的一个重要限制。本文主要研究的是一个由十个关节组成的灵活的多指结构组成的手部手指的鲁棒抓取控制。
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引用次数: 2
Trot gait simulation of four legged robot based on a sprawled gait 基于伸展步态的四足机器人小跑步态仿真
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987942
Chang-Hoi Kim, Hocheol Shin, Kyungmin Jeong
Lizards with a thin and flexible body can easily pass through a narrow path. Their sprawled gait increases their stability and allows them to overcome obstacles and rough terrain. Therefore, lizard bio-mimetic robots are suitable for reconnaissance and detection. The dynamic modeling of a lizard was carried out by weighing each link of a lizard and constructing its 3D shape using micro-CT scanning. We formulated a periodic sprawled gait which is able to describe the gait of lizards. In addition, we generated an upright gait by altering the gait parameters of the sprawled gait. The sprawled and upright gaits of the dynamic lizard model were simulated with various gait parameters using commercial dynamic analyzing software. The stable gait parameters for the stable trotting were obtained through the simulation.
蜥蜴的身体薄而灵活,可以很容易地穿过狭窄的小路。它们伸展的步态增加了它们的稳定性,使它们能够克服障碍和崎岖的地形。因此,蜥蜴仿生机器人适用于侦察和探测。通过对蜥蜴的每个环节进行称重,并利用微ct扫描构建其三维形状,对蜥蜴进行动态建模。我们制定了一种能够描述蜥蜴步态的周期性伸展步态。此外,我们通过改变伸展步态的步态参数来生成直立步态。利用商用动力学分析软件对动态蜥蜴模型进行了不同步态参数下的伸展和直立步态仿真。通过仿真得到了稳定小跑的稳定步态参数。
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引用次数: 3
Controlling an overactuated vehicle with application to an autonomous surface vehicle utilizing azimuth thrusters 利用方位推进器控制超驱动车辆并应用于自主水面车辆
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987878
Darsan R. Patel, D. Frank, C. Crane
A control algorithm for allocating control effort to a generic overactuated system is designed. In the case where redundant actuators in the system allow for an infinite number of possible solutions to a desired trajectory, the controller must decide which solution to take. A PD controller is implemented to solve for the desired force and moment of the trajectory. Once the forces and the moments are acquired, a cost function is utilized to help guide the choice of the actuator configuration. This control method is then validated through the simulation of an autonomous surface vehicle that is utilizing an azimuth thruster propulsion system.
设计了一种针对一般过致动系统的控制算法。如果系统中的冗余执行器允许对期望轨迹有无限多个可能的解,则控制器必须决定采用哪一个解。实现了PD控制器来求解轨迹所需的力和力矩。一旦获得了力和力矩,利用成本函数来帮助指导执行器配置的选择。然后,通过使用方位角推力器推进系统的自主水面车辆的仿真验证了这种控制方法。
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引用次数: 5
Adaptive quantization with Fuzzy C-mean clustering for liver ultrasound compression 肝脏超声压缩的模糊c均值聚类自适应量化
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987834
Rattikorn Sombutkaew, Y. Kumsang, Orachat Chitsobuk
With the massive increment of patients' medical information and images also limitation in transmission bandwidth, it is a challenging task for developing efficient medical information and image encoding techniques for digital picture archiving and communications (PACS). In order to achieve higher encoding efficiency, this research proposes adaptive quantization via fuzzy classified priority mapping. Image statistical characteristics are used as key features for Fuzzy C-mean clustering. The derived priority map is used to identify levels of importance for each image area. The significant candidates of irregular liver tissues, which need special doctor's attention, will be assigned with higher priority than those from the regular ones. The higher the priority, the greater the number of bits assigned for encoding. An analysis of suitable quantization step size has been conducted. With the selection of appropriate quantization parameters for each priority level, the blocking artifacts can be greatly reduced. This results in quality improvement of the reconstructed images while the compression ratio remains reasonably high.
随着患者医疗信息和图像的大量增加以及传输带宽的限制,开发高效的医疗信息和图像编码技术用于数字图像存档与通信(PACS)是一项具有挑战性的任务。为了提高编码效率,本研究提出了采用模糊分类优先级映射的自适应量化方法。图像统计特征作为模糊c均值聚类的关键特征。派生的优先级图用于确定每个图像区域的重要性级别。对于需要医生特别关注的不规则肝组织的重要候选,将给予比正常肝组织更高的优先级。优先级越高,分配给编码的比特数就越多。对合适的量化步长进行了分析。通过为每个优先级选择合适的量化参数,可以大大减少阻塞伪影。这使得重建图像的质量得到了提高,同时压缩比仍保持在较高水平。
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引用次数: 3
Robust learning from demonstrations using multidimensional SAX 从使用多维SAX的演示中健壮地学习
Pub Date : 2014-12-18 DOI: 10.1109/ICCAS.2014.6987960
Yasser F. O. Mohammad, T. Nishida
Learning from demonstrations (LfD) is gaining more popularity in robotics due to its promise of providing a human-friendly technique for teaching robots new skills by robotics-naive users. The two main approaches to LfD are dynamic motor primitives (DMP) which models demonstrated motions as dynamical systems with the advantage flexibility in changing the motion's starting position, goal or speed and Gaussian Mixture Modelling/ Gaussian Mixture Regression (GMM/GMR) which represents demonstrated motions as mixtures of Gaussians with the advantage of keeping track of the correlations between different dimensions of learned motions and automatic extraction of motion variability along these dimensions. This paper introduces a third approach that relies on symbolization of demonstrated motions by extending the Symbolic Aggregate approXimation (SAX) to handle multiple dimensions of data. The proposed approach is shown through several real-world evaluations to be more resistant to confusing demonstrations that usually arise when action segmentation is automated. The paper also discusses a possible way to combine SAX based LfD withGMM/GMR in order to preserve the advantages of these two approaches while providing superior confusion resistance.
从演示中学习(LfD)在机器人领域越来越受欢迎,因为它有望提供一种对人类友好的技术,让对机器人没有经验的用户教授机器人新技能。LfD的两种主要方法是动态运动原语(DMP),它将运动建模为动态系统,具有改变运动起始位置的灵活性;高斯混合建模/高斯混合回归(GMM/GMR),它将演示的运动表示为高斯混合运动,具有跟踪学习运动的不同维度之间的相关性和沿着这些维度自动提取运动可变性的优点。本文介绍了第三种方法,该方法通过扩展符号聚合近似(SAX)来处理多维数据,从而依赖于演示运动的符号化。通过几个真实世界的评估表明,所提出的方法更能抵抗自动化操作分割时通常出现的令人困惑的演示。本文还讨论了一种将基于SAX的LfD与gmm /GMR相结合的可能方法,以保留这两种方法的优点,同时提供更好的抗混淆能力。
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引用次数: 19
期刊
2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)
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