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2020 20th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Contact Type Thread Tester for Tap Inspection Automation 用于丝锥检测自动化的接触式螺纹测试仪
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268255
Jeonghyeon Kim, Sangwon Choi, Jaekuk Choi, Dongsun Lim, Jong-Hyun Kim
In this paper, we introduce a contact type thread tester which can automatically sort out bad thread holes. The existing non-contact type testers used eddy current, camera, ultrasonic, etc. However, non-contact type testers are vulnerable to noise. In this paper, a contact type inspection method is used to sort out the defects of the thread by measuring the reverse torque that occurs while tightening the bolt and threaded holes. This tester is insensitive to noise, such as vibration. We can inspect a thread hole regardless of the size of the hole. Also, the tester automatically aligns bolt and thread hole positions in order to remove the positional error. The tester checks the size of the thread hole using a camera, and automatically carries out the inspection with the optimum torque associated to the hole size. In addition, we develop a smartphone application to control the tester remotely.
本文介绍了一种接触式螺纹检测仪,该检测仪能自动检测出不良螺纹孔。现有的非接触式测试仪采用涡流、相机、超声波等。然而,非接触式测试仪容易受到噪声的影响。本文采用接触式检测方法,通过测量螺栓和螺纹孔拧紧时所产生的反向扭矩,对螺纹缺陷进行分类。该测试仪对噪声(如振动)不敏感。不管孔的大小,我们都可以检查螺纹孔。此外,测试仪自动对准螺栓和螺纹孔的位置,以消除位置误差。该测试仪使用相机检查螺纹孔的尺寸,并自动执行与孔尺寸相关的最佳扭矩检查。此外,我们还开发了一个智能手机应用程序来远程控制测试仪。
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引用次数: 0
Nonlinear Kalman Filter by Hermite-Gauss Quadrature 基于厄米-高斯正交的非线性卡尔曼滤波
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268306
P. Hušek, J. Stecha
Kalman filter became a popular tool for state estimation of linear dynamical systems especially due to its simplicity. However in the case of nonlinear systems its realization is more complicated. Commonly used approach called Extended Kalman filter consists in local approximation based on linearization. Another possibility is to approximate the corresponding integrals using some feasible procedures. In this paper we apply Gauss-Hermite Quadrature for state estimation of nonlinear systems and compare its accuracy with Extended Kalman filter.
卡尔曼滤波因其简单的特性而成为线性动力系统状态估计的常用工具。但在非线性系统中,其实现就比较复杂。常用的扩展卡尔曼滤波方法是基于线性化的局部逼近。另一种可能是用一些可行的方法来近似相应的积分。本文将高斯-埃尔米特正交用于非线性系统的状态估计,并与扩展卡尔曼滤波的精度进行了比较。
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引用次数: 0
Gold Nanoparticles Embedded Microrobots for Real-time X-ray Imaging 用于实时x射线成像的金纳米颗粒嵌入微型机器人
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268205
B. Darmawan, Sang Bong Lee, Gwangjun Go, Chang-sei Kim, Doyeon Bang, Jong-Oh Park, Eunpyo Choi
Microrobots have been demonstrated to have the potential in medical approaches, such as for targeted drug delivery. However, real-time tracking and imaging are still one of the major issues faced by microrobots. Here, we fabricated helical microrobots based on self-folding technique, and we performed double coating of gold nanoparticles (AuNPs) to the surface of microrobots to enhance the image quality under X-ray. The result shows that, we successfully coated the AuNPs into the self-rolled microrobots, and it increases the image quality when compared to non-coated microrobots. Despite the fact that there still remain some challenges to achieve successful applications of microrobots, we believe that the potential of this study can contribute to reduce the challenges faces in the medical microrobot fields.
微型机器人已被证明在医疗方法中具有潜力,例如靶向药物输送。然而,实时跟踪和成像仍然是微型机器人面临的主要问题之一。本文基于自折叠技术制备了螺旋微型机器人,并在微型机器人表面涂覆了金纳米粒子(AuNPs),以提高其x射线下的图像质量。结果表明,我们成功地将AuNPs涂覆到自滚微机器人中,与未涂覆的微机器人相比,它提高了图像质量。尽管实现微型机器人的成功应用仍然存在一些挑战,但我们相信本研究的潜力可以有助于减少医疗微型机器人领域面临的挑战。
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引用次数: 0
Online Motion-Artifact Removal in fNIRS Signals: Combined Square-Root Cubature Kalman Filter and Weighted Moving Average Model Approach fNIRS信号中运动伪影的在线去除:联合平方根Cubature Kalman滤波和加权移动平均模型方法
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268412
Ruisen Huang, Dalin Yang, Kunqiang Qing, K. Hong
One of the advantages of fNIRS systems is their portability for real-world applications. Therefore, the online rejection of the motion artifacts in functional near-infrared spectroscopy (fNIRS) signals is one of the essential research topics. We proposed a square-root cubature Kalman filter using a weighted moving average model to tract the dynamics of motion artifacts. The rationale and feasibility of the method were discussed using simulated data generated using a Balloon model. The results show that the proposed filter has a good suppression of spike-like motion artifacts. Finally, conclusions and further study are discussed.
近红外光谱系统的优点之一是其可移植性。因此,功能近红外光谱(fNIRS)信号中运动伪影的在线抑制是重要的研究课题之一。我们提出了一种利用加权移动平均模型的平方根立方卡尔曼滤波器来跟踪运动伪影的动态特性。利用气球模型生成的仿真数据,讨论了该方法的原理和可行性。结果表明,该滤波器具有较好的抑制峰状运动伪影的效果。最后,对结论和进一步研究进行了讨论。
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引用次数: 1
Robotic Stage for Human Balance Disorder Assessment 人类平衡障碍评估机器人平台
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268384
Kangwagye Samuel, Sehoon Oh
This paper presents a novel robotic stage for human balance disorder assessment. The proposed robot is composed of top and bottom plates which move perpendicular to each other in x- and y- directions. Both plates can be driven or controlled simultaneously or one at a time. Each of the drive systems for the plates utilize a BLDC motor, ball-screw, force sensor, and motor encoder, which enable various control strategies. Moreover, the force sensor is located between the ball-screw and the load, hence, the load reaction force can be directly measured. To conduct the balance assessment, a human (patient) stands on the top plate of the stage and the robot is driven by either force or position control, from which the force is measured directly by the force sensor. Then, the balance disorder assessment is done by observing the characteristics of the force measurements. This device provides a wider motion strokes which enable the examiner to obtain detailed balance disorder information as compared to the existing techniques. Experiments on both control and actual human balance test are carriedout to verify the effectiveness of the proposed device.
本文提出了一种用于人体平衡失调评估的新型机器人平台。所提出的机器人由在x和y方向上彼此垂直运动的顶板和底板组成。两个板可以同时驱动或控制,也可以一次驱动一个。每个驱动系统的板块利用无刷直流电机,滚珠丝杠,力传感器和电机编码器,使各种控制策略。力传感器位于滚珠丝杠与负载之间,可直接测量负载反力。为了进行平衡评估,一个人(病人)站在舞台的顶板上,机器人由力或位置控制驱动,力传感器直接测量力。然后,通过观察测力的特性,对平衡失序进行评估。与现有技术相比,该设备提供了更宽的运动行程,使审查员能够获得详细的平衡障碍信息。通过控制实验和实际人体平衡实验验证了该装置的有效性。
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引用次数: 5
Grid Computing for MSE during Volatile Economy 波动经济条件下MSE的网格计算
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268216
P. S. JosephNg, Y. F. Loh, H. C. Eaw
Medium Size Enterprise ventures into IT are dragged by financial, expertise, economies of scales plus the unfavourable market uncertainty with unsettling innovation with vanishing competitiveness towards infrastructure optimization. This mixed-method using survey, interview and focus group with dual data test-retest sequential design approach minimises grey perspectives and conclusions. The findings revealed the shocking fact that a third of total investments in IT were categorised as the unproductive ventures, playing catch-up among the industry competitors while leaving most equipment under-utilized and questionable commercial visibilities while the enterprise bleeds. The utilization of BOINC freeware grid computing centralized processing and storage features been used to improve the enterprise's efficiency by enhancing positive financials in the enterprises via enabling better inter-department work coordination hence improving user satisfaction and stronger brand recognition. The contribution of the study proposed a flexible organic IT infrastructure that will upsize or downsize along with the business performance.
中型企业在IT领域的投资受到资金、专业知识、规模经济以及不利的市场不确定性的拖累,创新令人不安,基础设施优化的竞争力正在消失。这种混合方法采用调查、访谈和焦点小组与双数据测试-重新测试顺序设计方法,最大限度地减少灰色观点和结论。调查结果揭示了一个令人震惊的事实,即IT总投资的三分之一被归类为非生产性投资,在行业竞争对手中追赶,而在企业流血的同时,大多数设备未得到充分利用,商业知名度受到质疑。利用BOINC免费软件网格计算集中处理和存储的特点,通过更好的部门间工作协调,提高企业的正财务,从而提高用户满意度和品牌认知度,提高企业效率。该研究的贡献提出了一个灵活的有机IT基础设施,它将随着业务绩效的扩大或缩小。
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引用次数: 16
Dynamic Modeling and Force Analysis on Revolute Joint of Mechanical Master-Slave Manipulator using RecurDyn 基于RecurDyn的机械主从机械手旋转关节动力学建模及受力分析
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268209
Moon-woo Park, Sang-seok Lee, Dae-Chul Jang, Hyeon-seong Kim, Pyeong-Ung Jeong
This paper presents a simulation result of dynamic reaction forces on the slave-arm revolute joint of the mechanical master-slave manipulator for remote handling of radioactive materials and nuclear processing. The dynamic modeling of the manipulator is established in the multi-body dynamics(MBD) simulation S/W of RecurDyn to verify the gear tooth contact force and bearing reaction forces on the revolute joint of its slave-arm on condition of the maximum handling load. For modeling the detailed parts of the revolute joints , two stages gear transmission; one bevel gear-pair and the other spur gear pair, and two support rolling bearings are defined with mechanical properties. As results of the force analysis, the reaction forces on gearing and bearings which are used to address the improvement of the joint design are shown for the manipulator.
本文给出了用于放射性物质远程搬运和核加工的机械主从机械手从臂旋转关节动态反作用力的仿真结果。在RecurDyn的多体动力学(MBD)仿真软件中建立了机械手的动力学建模,验证了在最大搬运载荷条件下,其从臂转动关节上的齿轮齿接触力和轴承反作用力。对旋转关节、二级齿轮传动的详细零件进行了建模;一个锥齿轮副和另一个正齿轮副,以及两个支撑滚动轴承的机械性能定义。作为受力分析的结果,给出了用于改进机械手关节设计的齿轮和轴承上的反作用力。
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引用次数: 0
Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change 基于人工势场的模型预测路径规划及其在自动变道中的应用
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268380
Pengfei Lin, Woo Young Choi, Seung-Hi Lee, C. Chung
In this paper, we propose a vehicle lane change system using model predictive path planning (MPPP) based on the artificial potential field (APF) for speeding vehicles. It is shown that APF has high performance in real-time obstacle avoidance. However, it remains unpractical for self-driving cars because the point model used for the APF ignores the lateral vehicle dynamics for the lane-keeping system. To resolve the problem, this paper introduces a novel curve-fitting method combined with the APF applied to plan a drivable path for autonomous vehicles in the lane change action. The proposed system was validated through MATLAB/Simulink with the empirical kinematic model. The simulation results indicate that the model predictive path planning algorithm is highly effective in high-speed lane change scenarios to avoid dynamic obstacle vehicles.
提出了一种基于人工势场(APF)的模型预测路径规划(MPPP)的超速车辆变道系统。结果表明,有源滤波器在实时避障中具有良好的性能。然而,对于自动驾驶汽车来说,这仍然是不切实际的,因为用于APF的点模型忽略了车道保持系统的横向车辆动力学。为了解决这一问题,本文提出了一种结合有源滤波器的曲线拟合方法,用于自动驾驶汽车变道时的可驾驶路径规划。通过MATLAB/Simulink对该系统进行了验证,并建立了经验运动学模型。仿真结果表明,该模型预测路径规划算法在高速变道场景下能够有效避开动态障碍车辆。
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引用次数: 6
Robust Motion Control of Robotic Systems with Environmental Interaction via Data-Driven Inversion of CPG 基于CPG数据驱动反演的环境交互作用下机器人系统鲁棒运动控制
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268377
Sangyul Park, Hasun Lee, Dongjun Lee
We propose CPG (central pattern generator) based robot control framework constructed based on: 1) the inverse model of the CPG that directly encodes resultant body motion of the robot in CPG parameters; and 2) the CPG parameter adaptation law that enforces robustness of the controller. These two components behaves as feedforward and feedback control for the CPG controlled robot, enabling us to achieve fast and robust generation of a desired body motion for robotic systems operated within complex environmental interaction. The inverse CPG model is constructed based on neural network along with autoencoder to efficiently deal with the dimension decrease from input to output of the model. Also, the CPG parameter adaptation is done with a concept of backpropagation, which is enabled by the adoption of smooth activation function for the inverse CPG model. For the development and verification of the proposed framework, simulation is conducted with two robotic systems, snake-like robot and pivotboard system.
我们提出了基于中心模式生成器(CPG)的机器人控制框架,该框架基于:1)CPG的逆模型,该模型将机器人的最终身体运动直接编码在CPG参数中;2)增强控制器鲁棒性的CPG参数自适应律。这两个组件分别作为CPG控制机器人的前馈和反馈控制,使我们能够在复杂的环境相互作用下实现机器人系统所需身体运动的快速和鲁棒生成。基于神经网络和自编码器构造了CPG逆模型,有效地解决了模型从输入到输出的降维问题。此外,CPG参数的自适应采用了反向传播的概念,通过对逆CPG模型采用平滑激活函数来实现。为了开发和验证所提出的框架,采用蛇形机器人和透视板系统两种机器人系统进行了仿真。
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引用次数: 0
Predictive Collision Avoidance Control with Optimized Ride Comfort in Vehicle Lateral Motion Control 车辆横向运动控制中最优平顺性的预测避碰控制
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268424
Jin Ho Yang, Dae Jung Kim, C. Chung
This study aims to propose how autonomous vehicle overtakes an obstacle with model predictive control and makes a lateral ride comfortability by optimizing a jerk in a lateral direction. In this paper, we conducted a case study on collision avoidance in a waypoint tracking situation. To avoid the obstacle, we proposed a desired lateral offset from the global route and used the offset as a reference for avoidance. Then, we defined a quadratic cost function considering the jerk to minimize a motion sickness during the avoidance maneuver. To verify the method, we executed a computational simulation using actual waypoint data. As a result, we observed that the proposed scheme has more comfortability for obstacle avoidance than the method without optimizing the jerk.
本研究旨在提出自动驾驶汽车如何在模型预测控制下超越障碍物,并通过优化横向加力来实现横向行驶舒适性。在本文中,我们对航路点跟踪情况下的避碰进行了案例研究。为了避开障碍物,我们提出了一个理想的偏离全局路径的横向偏移量,并将该偏移量作为避开障碍物的参考。然后,我们定义了一个二次代价函数,考虑了在规避机动过程中使晕动病最小化。为了验证该方法,我们使用实际航点数据执行了计算模拟。结果表明,本文提出的避障方案比未优化的避障方案具有更好的避障舒适性。
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引用次数: 2
期刊
2020 20th International Conference on Control, Automation and Systems (ICCAS)
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