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2015 15th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Modified algorithm of Predictive Ground Collision Avoidance System for the low level terrain flight 面向低空地形飞行的预测地面避碰系统改进算法
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364906
Seongheon Lee, Dongjin Lee, H. Bang
Controlled Flight Into Terrain (CFIT) is reported as a major cause of today's aircraft accidents. To mitigate these accidents, Predictive Ground Collision Avoidance System (PGCAS) has been used since the mid-70s. In PGCAS algorithm, however, relatively large safety margin for the terrain searching pattern could cause some drawbacks such as nuisance alarms or unnecessary pull-up commands during a tactical terrain-following or low level terrain flight to evade enemy's air defense network. In this paper, a modified algorithm based on weighted terrain searching pattern is proposed to improve PGCAS more efficiently for the low level terrain flight. The weighted terrain searching pattern reflects the aircraft's performance and the flight path to give more reasonable safety margin to the system. The terrain elevation data lying on the exterior of the terrain searching pattern are set to give lower terrain elevation than the data on the interior. The proposed algorithm is further analyzed through simulations to evaluate its performance.
据报道,控制飞行进入地形(CFIT)是当今飞机事故的主要原因。为了减少这些事故,预测地面碰撞避免系统(PGCAS)从70年代中期开始使用。然而,在PGCAS算法中,地形搜索模式的安全余量较大,在战术地形跟踪或低空地形飞行躲避敌方防空网络时,可能会产生滋扰警报或不必要的上拉命令等缺点。本文提出了一种基于加权地形搜索模式的改进算法,以提高PGCAS在低空地形飞行中的性能。加权地形搜索模式反映了飞机的性能和飞行轨迹,为系统提供了更合理的安全裕度。设置位于地形搜索模式外部的地形高程数据以提供比位于内部的数据更低的地形高程。通过仿真进一步分析了该算法的性能。
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引用次数: 1
A robust extended Kalman filtering for linearization errors 线性化误差的鲁棒扩展卡尔曼滤波
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364587
Bokyu Kwon, Soohee Han
In this paper, we propose a new robust design of the extended Kalman filter(EKF) for nonlinear state estimation problems. In order to give the robustness to the conventional EKF, we consider the linearization error instead of neglecting the nonlinear higher order terms. The linearization errors are represented as a linear function of estimation error and is treated as model uncertainty in linear model. Additionally, we propose the systematic technique for predicting the linearization errors by using the current estimated state and one step ahead one. And, the linearized model and prediction of the linearization errors can be obtained within the Kalman filtering framework.
本文针对非线性状态估计问题,提出了一种新的扩展卡尔曼滤波鲁棒设计。为了使传统EKF具有鲁棒性,我们考虑了线性化误差而不是忽略非线性高阶项。线性化误差表示为估计误差的线性函数,在线性模型中被视为模型不确定性。此外,我们还提出了利用当前估计状态和提前一步预测线性化误差的系统技术。并在卡尔曼滤波框架内得到线性化模型和线性化误差的预测。
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引用次数: 4
The development of remote maintenance technology based on Voyage Data Recorder 基于航次记录仪的远程维护技术开发
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364706
Chanmin Jung, Jonggu Kang, M. Jin
This paper introduces a remote maintenance technology based on VDR(Voyage Data Recorder) which is capable of diagnosing the status of navigational equipment and monitoring the navigational information from a remote place via satellite communications. Firstly we implemented the messaging library complied with Ethernet-based IEC 61162-450 standard which integrates intra-ship equipment, such as VDR, AMS(Alarm Monitoring System), and BMS(Bridge Maneuvering System) into one unified network. Secondly we developed a remote maintenance application which applies the messaging. This application performs the functions which are transferring of real-time navigation data, navigation data on specific time, system status and log, and captured images. Consequently, we secured the technology of ship remote maintenance using VDR in this paper.
本文介绍了一种基于航行数据记录仪(VDR)的远程维护技术,该技术能够通过卫星通信远程诊断导航设备的状态并监控导航信息。首先,我们实现了符合基于以太网的IEC 61162-450标准的消息库,将VDR、AMS(Alarm Monitoring System)和BMS(Bridge Maneuvering System)等船内设备集成到一个统一的网络中。其次,我们开发了一个应用消息传递的远程维护应用程序。该应用程序实现了实时导航数据、特定时间导航数据、系统状态和日志以及捕获图像的传输功能。因此,本文研究了基于VDR的船舶远程维修技术。
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引用次数: 0
Experiments on classification of electroencephalography (EEG) signals in imagination of direction using a wireless portable EEG headset 利用无线便携式脑电耳机对方向想象中的脑电图信号进行分类实验
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364652
K. Tomonaga, So Wakamizu, Jun Kobayashi
Here we present experimental results of classification methods for brain activity in the imagination of direction. In anticipation of its adequate performance, we used a wireless portable electroencephalography (EEG) headset to collect EEG data from subjects in the experiments, during which the subjects imagined arrows indicating one of the four directions: up, down, right, and left. The classification methods estimated the direction that the subjects imagined on the basis of their brain wave signals measured by an electrode on the portable EEG headset. We implemented several classification methods, which basically followed those of a previous study that used a medical EEG device. The classification methods consisted of a band-pass filter, fast Fourier transformation, principal component analysis, and neural network. The experimental results showed that the neural network trained with the EEG data of all subjects achieved a 52.00% classification rate. When using the EEG data of each subject, the best classification rate was 55.00%. The results using the portable EEG headset were comparable with those of the previous study.
本文介绍了方向想象中脑活动分类方法的实验结果。考虑到其足够的性能,我们在实验中使用无线便携式脑电图(EEG)耳机收集受试者的脑电图数据,在此过程中,受试者想象箭头表示四个方向之一:上、下、右、左。分类方法根据便携式脑电图头戴设备上的电极测量的脑电波信号来估计受试者想象的方向。我们实施了几种分类方法,这些方法基本上遵循了先前使用医用脑电图设备的研究。分类方法包括带通滤波、快速傅里叶变换、主成分分析和神经网络。实验结果表明,用所有被试的脑电数据训练后的神经网络分类率达到52.00%。当使用每个受试者的脑电数据时,最佳分类率为55.00%。使用便携式脑电图耳机的结果与先前的研究结果相当。
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引用次数: 9
Sliding window based landmark extraction for indoor 2D SLAM using forward-looking monocular camera 基于滑动窗的室内二维SLAM图像提取方法
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364934
Hee-Won Chae, Chansoo Park, Jae-Bok Song
In this study, we propose a method to extract landmarks for pose-graph SLAM using only the forward-looking monocular camera mounted in a small mobile robot. By using the sliding window approach, the region of interest is determined to triangulate the landmarks. The landmark extraction process uses multiple sets of bearing information for triangulation. As the landmark is extracted, choose the landmark which is near the navigation plane to project into the 2D landmark node. To test its accuracy, the laser rangefinder is used as a ground truth. Also the various sliding window sizes are tried for a landmark to investigate the effect of the window size on the accuracy. Using this approach as landmark extraction for the SLAM algorithm, we expect to implement monocular based metric SLAM with the graph based back-end optimization.
在本研究中,我们提出了一种仅使用安装在小型移动机器人上的前视单目摄像机提取姿态图SLAM地标的方法。通过使用滑动窗口方法,确定感兴趣的区域,对地标进行三角测量。地标提取过程使用多组方位信息进行三角测量。在提取地标时,选择靠近导航平面的地标投影到二维地标节点中。为了测试其精度,激光测距仪被用作地面真值。并尝试了不同滑动窗口大小作为地标,研究了窗口大小对精度的影响。利用这种方法作为SLAM算法的地标提取,我们期望通过基于图的后端优化实现基于单目的度量SLAM。
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引用次数: 0
Friction-model-based estimation of interaction force of a surgical robot 基于摩擦模型的手术机器人相互作用力估计
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364591
Subon Kim, D. Lee
This paper reports a method to estimate the interaction forces between the surgical robot instrument and the organ tissues. A previous estimation method uses the kinematical relationship of the surgical robot instrument to estimate the interaction force at the distant tip. It is experimentally found that there is non-ignorable estimation error due to some torque loss and the friction forces inside the instrument attributes to the torque loss. In this paper, a friction model is developed to more accurately estimate the interaction force considering the structure of the instrument. The friction model also reflects the effects of the tendon-driven mechanism inside the instrument on the estimation error. Experimental result shows that the estimation error can be reduced approximately 80% in single degree of freedom free motion compared to when the friction force model was not used.
本文报道了一种估算手术机器人器械与器官组织之间相互作用力的方法。先前的估计方法利用手术机器人器械的运动学关系来估计远端作用力。实验发现,由于一定的转矩损失存在不可忽略的估计误差,并且仪器内部的摩擦力归因于转矩损失。考虑到仪器的结构,本文建立了一个摩擦模型,以更准确地估计相互作用力。摩擦模型还反映了仪器内部肌腱驱动机构对估计误差的影响。实验结果表明,在单自由度自由运动条件下,与不使用摩擦力模型时相比,估计误差可降低约80%。
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引用次数: 3
Design of an assistance robot for patients suffering from Paraplegia 截瘫患者辅助机器人的设计
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364736
S. Khan, Muhammad Fahad Zeb, Nouman Ghafoor, Saad Jamshed, M. R. Afzal, Amre Eizad
The people with disabled lower limbs find it difficult to lead an independent life and the lack of upper body exercise may lead to disuse ailment. Various studies have shown that both children and adults benefit substantially from access to a means of independent mobility. Independent mobility is a dream for every person with some or the other physical disability especially in the case of paraplegics. In the research presented in this paper, an assistance platform was developed to help the paraplegic and elderly people by providing the ability to stand-up and move about. Virtual prototype technology was used to make the design and development of the robot more efficient using Solid-works™. The device developed may be used for rehabilitation of people recovering from extended periods of limb disuse and for paraplegic patients. Although some commercialized training machines and some developed lower-limb rehabilitation robots can perform adequate motion functions during lower limb training programs but the weight, size and cost of these devices limits their possibilities of use. In contrast, the proposed design has the potential to be used among the middle socio-economic class as a product in daily household works of the paraplegic patients.
下肢残疾的人很难独立生活,缺乏上肢运动可能导致废用性疾病。各种研究表明,儿童和成人都从获得独立行动的手段中受益匪浅。独立行动是每个有某种或其他身体残疾的人的梦想,特别是在截瘫的情况下。在本文的研究中,开发了一个辅助平台,通过提供站立和移动的能力来帮助截瘫和老年人。使用Solid-works™虚拟样机技术,使机器人的设计和开发更加高效。所开发的装置可用于长时间肢体残疾和截瘫患者的康复。虽然一些商业化的训练机器和一些开发的下肢康复机器人可以在下肢训练项目中执行足够的运动功能,但这些设备的重量、尺寸和成本限制了它们的使用可能性。相比之下,建议的设计有潜力在中产社会经济阶层中作为截瘫患者日常家务工作的产品使用。
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引用次数: 2
A computationally efficient suboptimal smoother for attitude and position estimation using inertial sensors 一种计算效率高的基于惯性传感器的姿态和位置估计的次优平滑器
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364861
Huu Toan Duong, Y. Suh
This paper proposes a simple smoother algorithm for inertial sensor-based motion tracking. It is assumed that the motion consists of moving and non-moving intervals such as golf swing, which consists of not-moving (before swing), moving (swing), not-moving (after swing) intervals. A computationally efficient suboptimal smoothing algorithm is proposed. The proposed algorithm can be used in the application with limited computational power like in a smartphone application. Through a simulation the proposed algorithm is verified.
提出了一种简单的基于惯性传感器的运动跟踪平滑算法。假定运动由运动间隔和不运动间隔组成,如高尔夫挥杆,由不运动间隔(挥杆前)、运动间隔(挥杆后)、不运动间隔(挥杆后)组成。提出了一种计算效率高的次优平滑算法。该算法可用于计算能力有限的应用,如智能手机应用。通过仿真验证了该算法的有效性。
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引用次数: 1
Impulse controllability and impulse elimination in rectangular descriptor systems 矩形广义系统中的脉冲可控性和脉冲消除
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364930
V. Mishra, N. K. Tomar, M. Gupta
In this paper, a decomposition of system matrices of linear time invariant rectangular descriptor systems is proposed. Using the decomposition, a technique is developed to check the impulse controllability for rectangular descriptor systems. Necessary and sufficient conditions are stated and proved to design a proportional plus derivative feedback such that the closed loop system is free of impulse. Examples are given to illustrate the presented theory.
本文提出了线性时不变矩形广义系统的系统矩阵分解方法。利用这种分解,提出了一种检验矩形广义系统脉冲可控性的方法。给出并证明了设计出闭环系统无脉冲的比例加导数反馈的充分必要条件。举例说明了所提出的理论。
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引用次数: 2
Road profile modeling by subspace identification methods 基于子空间识别方法的道路轮廓建模
Pub Date : 2015-12-28 DOI: 10.1109/ICCAS.2015.7364616
S. Turkay, H. Akçay
In this paper, spectral models of road profiles using nonparametric and subspace identification methods are developed from road elevation measurements. First, power spectra of road profiles are estimated on uniform grids of frequencies by averaging and windowing from road measurements. These results are illustrated on the data sets obtained from the University of Michigan Transportation Research Institute archives by computing Welch spectrum estimates for left and right vehicle tracks. Then, curve fitting by the single and two-slope approximations are applied on the Welch estimates. Rational approximations, by considering a recent subspace algorithm, the regularized nuclear norm and the regularized and reweighted nuclear norm heuristics are performed for a further shaping of power spectrum estimates. Preliminary results show that the regularized and reweighted nuclear norm heuristic algorithm yields best fits to the data by low order rational spectra without distorting too much the homogeneous road assumption. Finally, for comparision of the roughness evaluation the IRI roughness index is calculated for different algorithms assuming that road excitations are zero-mean Gaussian processes.
本文从道路高程测量数据出发,利用非参数和子空间识别方法建立了道路轮廓的光谱模型。首先,通过对道路测量数据进行平均和加窗,在均匀的频率网格上估计道路轮廓的功率谱。这些结果是通过计算左右车辆轨迹的韦尔奇频谱估计从密歇根大学交通研究所档案中获得的数据集来说明的。然后,对Welch估计应用单斜率和双斜率近似的曲线拟合。通过考虑一种最新的子空间算法、正则化核范数以及正则化和重加权核范数启发式进行理性逼近,进一步形成功率谱估计。初步结果表明,正则化和重加权核范数启发式算法对低阶有理谱数据的拟合效果最好,且不会过多地扭曲均匀道路假设。最后,为了比较粗糙度评价,假设道路激励为零均值高斯过程,计算了不同算法下的IRI粗糙度指数。
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引用次数: 1
期刊
2015 15th International Conference on Control, Automation and Systems (ICCAS)
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