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2022 IEEE International Conference on Mechatronics and Automation (ICMA)最新文献

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Multiobjective optimization design of high frequency transformer based on NSGA-II algorithm 基于NSGA-II算法的高频变压器多目标优化设计
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856127
Chunjie Wang, Wenkai Han, Peng Chen, Jinchuan Song, Songwei Yuan
Aiming at the optimization design of high frequency transformer in low-voltage high-current power electronic converter, the volume and efficiency of high frequency transformer are taken as the optimization objectives, the calculation methods of magnetic core and winding loss of high frequency transformer are analyzed. On this basis, a two dimensional optimization model is established with saturated magnetic induction intensity and current density as optimization variables. Genetic algorithm has certain advantages in solving nonlinear multiobjective optimization problems. In this paper, NSGA-II algorithm is used to optimize the design of high frequency transformers with ferrite, amorphous alloy and nanocrystalline core materials. By comparing the optimization parameters of the simulation results, the superiority of nanocrystalline materials in the design of high frequency transformer is verified, due to its high saturation magnetic induction strength and high permeability, nanocrystalline materials have better comprehensive performance than ferrite and amorphous alloy materials in high-frequency and high power applications.
针对低压大电流电力电子变换器中高频变压器的优化设计,以高频变压器的体积和效率为优化目标,分析了高频变压器磁芯和绕组损耗的计算方法。在此基础上,建立了以饱和磁感应强度和电流密度为优化变量的二维优化模型。遗传算法在求解非线性多目标优化问题方面具有一定的优势。本文采用NSGA-II算法对铁氧体、非晶合金和纳米晶铁芯材料组成的高频变压器进行了优化设计。通过对比仿真结果的优化参数,验证了纳米晶材料在高频变压器设计中的优越性,由于其高饱和磁感应强度和高磁导率,纳米晶材料在高频大功率应用中比铁氧体和非晶合金材料具有更好的综合性能。
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引用次数: 1
Image Colorization with Dense Feature Fusion 图像着色与密集特征融合
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855935
Lei Sun, Ke Shi
We propose a new model for colorizing grayscale images with a U-Net-like network structure that focus on the connection between global and local features. A novel skip connection method is adopted to change the way information flows, which incorporating multi-scale feature information. This enables us to obtain more common features of encoding and decoding layers. Low-level detail features and high-level location features are exactly the semantic information we need. We argue that these semantic information plays an important role in the model’s learning of colorization tasks. When there is as much similar semantic information as possible from the decoder and encoder networks, the network will handle easier learning tasks. The proposed model architecture is evaluated on a large dataset for gray image colorization. Experimental results show that our model improve the coloring performance.
我们提出了一种基于u - net的灰度图像着色新模型,该模型关注全局和局部特征之间的联系。采用了一种新颖的跳跃连接方法,改变了信息的流动方式,融合了多尺度特征信息。这使我们能够获得更多的编码和解码层的共同特征。低级的细节特征和高级的位置特征正是我们需要的语义信息。我们认为这些语义信息在模型对着色任务的学习中起着重要作用。当解码器和编码器网络中有尽可能多的相似语义信息时,网络将处理更容易的学习任务。在灰度图像着色的大型数据集上对所提出的模型架构进行了评估。实验结果表明,该模型提高了着色性能。
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引用次数: 1
Multi-Grouped Grid Map for Semantic-Aware Motion Planning of Mobile Robots 面向语义感知移动机器人运动规划的多组网格映射
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856299
Guang Yang, Shuoyu Wang, Junyou Yang, Peng Shi
In current navigation systems, path planning is performed on a grid map considering the presence of obstacles in the environment. Although this approach can produce collision-free paths, its performance cannot be guaranteed in dynamic, human-centered environments. The reason for this is that more factors need to be considered, including people’s perceptions, than simply ensuring that one gets from one place to another without colliding with an obstacle. Therefore, the ideal map should be able to manage various types of semantic information in a flexible manner, in addition to tracking obstacles. We propose a multi-group map based on a multi-layer map, which is characterized by allowing the layers to store multiple types of information and be flexibly combined to produce multiple sub-maps that can provide references for semantic navigation. The proposed map has been evaluated through simulation to determine its potential to contribute to the creation of semantic navigation behaviors.
在当前的导航系统中,路径规划是在考虑环境中障碍物存在的网格地图上进行的。虽然这种方法可以产生无碰撞的路径,但它的性能不能保证在动态的、以人为中心的环境中。这样做的原因是,需要考虑更多的因素,包括人们的看法,而不仅仅是确保一个人从一个地方到另一个地方而不遇到障碍。因此,理想的地图除了跟踪障碍物外,还应该能够灵活地管理各种类型的语义信息。我们在多层地图的基础上提出了一种多组地图,其特点是允许层存储多种类型的信息,并可以灵活地组合成多个子地图,为语义导航提供参考。所提出的地图已经通过模拟进行了评估,以确定其有助于创建语义导航行为的潜力。
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引用次数: 0
Comparison of Spherical and Fish-shaped Robots on Hydrodynamic and Pressure Characteristics in Static Water 球形和鱼形机器人在静水中水动力和压力特性的比较
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856391
Ao Li, Shuxiang Guo, Liwei Shi, Meng Liu, Mugen Zhou, He Yin
During the underwater movement of underwater robot, a large part of interference comes from the interaction between robot and water flow. In order to control the underwater robot accurately, it is very important to study the hydrodynamic characteristics of the robot. In this paper, the hydrodynamic characteristics about two kinds of underwater robots (spherical and fish-shaped robot) are studied according the application. Firstly, the hydrodynamic characteristics of the two shapes are studied by the qualitative analysis of velocity field and pressure field. Then, by changing the speed and volume of the robot, the drag resistance force of the robot is further quantitatively analyzed. These obtained characteristics can be used to guide the application of flow rate sensing and pressure sensing on underwater robots.
水下机器人在水下运动过程中,很大一部分干扰来自于机器人与水流的相互作用。为了对水下机器人进行精确的控制,研究水下机器人的水动力特性是非常重要的。本文根据实际应用,研究了两种水下机器人(球形机器人和鱼形机器人)的水动力特性。首先,通过对速度场和压力场的定性分析,研究了两种形状的水动力特性。然后,通过改变机器人的速度和体积,进一步定量分析机器人的阻力。所得特性可用于指导流量传感和压力传感在水下机器人上的应用。
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引用次数: 0
Thermal Modeling Analysis of SCARA Robots SCARA机器人热建模分析
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856173
Wang Xu, Jiazhen Chen, Bin Wang, Y. Guan, T. Zhang
This paper proposes a heat source analysis method to calculate the heat loss generated by SCARA robots during operation. The heat dissipation power of the robot is determined by empirical formula and robot energy consumption. The thermal model of SCARA robots was established by using the finite element method in COMSOL, and the steady-state temperature and heat dissipation path of SCARA robots were obtained by solving the finite element model. It was concluded that the temperature at axis Jl of a SCARA robot was the highest, and the temperature diffused in the center of axis Jl. The effect of surface convection velocity on the steady-state temperature of SCARA robots is studied. The results show that the increase of surface convection velocity can effectively reduce the temperature of the robot at high temperature.
本文提出了一种热源分析方法来计算SCARA机器人在运行过程中产生的热损失。机器人的散热功率由经验公式和机器人能耗决定。利用COMSOL软件中的有限元法建立SCARA机器人的热模型,通过求解有限元模型得到SCARA机器人的稳态温度和散热路径。结果表明,SCARA机器人在Jl轴处温度最高,且温度在Jl轴中心扩散。研究了表面对流速度对SCARA机器人稳态温度的影响。结果表明,增加表面对流速度可以有效降低机器人在高温下的温度。
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引用次数: 0
PL-ISLAM: an Accurate Monocular Visual-Inertial SLAM with Point and Line Features l- islam:一种具有点和线特征的精确单目视觉惯性SLAM
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855993
Haobo Wang, Lianwu Guan, Xilin Yu, Zibin Zhang
At present, most of the visual Simultaneous Localization and Mapping (SLAM) systems rely on the surrounding point features to achieve acceptable localization and mapping. However, the number of point features is insufficient in the low-texture environments, so the performance of these SLAM systems will be significantly reduced. In this research, a PLISLAM system that integrates point features, line features and Inertial Measurement Unit (IMU) is proposed to implement high-precision positioning and mapping for dynamic vehicles. Specifically, a state-of-the-art SLAM scheme ORBSLAM3 is built at first. Then, its theoretical formulation is derived step by step to handle the environmental line features and the Bundle Adjustment (BA) is integrated to optimize the data. Finally, the system performance is verified through the EuRoC dataset, the results demonstrate its accuracy could be improved by adding the line features especially in scenes with rich line features.
目前,大多数视觉同步定位与制图(SLAM)系统都依赖于周围点的特征来实现可接受的定位与制图。然而,在低纹理环境下,点特征的数量不足,会大大降低SLAM系统的性能。本文提出了一种集成点特征、线特征和惯性测量单元(IMU)的PLISLAM系统,用于实现动态车辆的高精度定位与制图。具体而言,首先构建了最先进的SLAM方案ORBSLAM3。然后,逐步推导出处理环境线特征的理论公式,并结合Bundle Adjustment (BA)对数据进行优化。最后,通过EuRoC数据集验证了该系统的性能,结果表明,特别是在线条特征丰富的场景中,添加线条特征可以提高系统的精度。
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引用次数: 1
Kinematics Analysis of 3-RRPS Parallel Mechanism 3-RRPS并联机构运动学分析
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856070
Cheng-peng Yu, Bin Li, Jiaqi Zhu
In this paper, the kinematics of the 3-RRPS parallel mechanism was deeply studied, and the kinematics mathematical model of the parallel mechanism was obtained by using the method of coordinate system transformation. The inverse solution of the parallel mechanism pose was obtained by solving this equation, and the nonlinear equation was obtained from the inverse solution. The forward solution of the attitude of the parallel mechanism was calculated by solving this nonlinear equation with Jacobian matrix and Newton iterative algorithm, which is an approximate solution. Finally, we verified the correctness of the forward kinematics solution through MATLAB.
本文对3-RRPS并联机构的运动学进行了深入研究,利用坐标系变换的方法得到了并联机构的运动学数学模型。通过求解该方程得到并联机构位姿的反解,并由反解得到非线性方程。利用雅可比矩阵和牛顿迭代算法求解该非线性方程,得到了并联机构姿态的正解,为近似解。最后,通过MATLAB验证了正运动学解的正确性。
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引用次数: 0
Cooperative Hunting of Spherical Multi-robots based on Improved Artificial Potential Field Method 基于改进人工势场法的球形多机器人协同狩猎
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856156
Ran Wang, Jian Guo, Shuxiang Guo, Qiang Fu, Jigang Xu
With the development of robot technology, the research of multi-robot cooperative target search in the military field mainly focuses on avoiding obstacles while surrounding the target, but most of the object-oriented research is a single robot and a single obstacle. In view of the object - oriented simplicity, this paper uses robot cluster to avoid multiple obstacles. Artificial potential field algorithm is widely used in the field of robot obstacle avoidance because of its simple structure, small amount of computation and good real-time performance. But in actual use in the artificial potential field algorithm has certain defects, mainly includes the target unreachable problem and local minimum value problems, by improving the traditional artificial potential field algorithm, this study so as to improve the artificial potential field algorithm when use the deficiencies, in order to improve the artificial potential field algorithm when the mobile robot to round up the target of obstacle avoidance. Finally, the simulation results show that the improved artificial potential field method can solve the problems of local minimum and unreachable target, and has good dynamic obstacle avoidance ability. This method ensures the reliability of spherical robot group and improves the efficiency of multi-robot group.
随着机器人技术的发展,军事领域中多机器人协同目标搜索的研究主要集中在围绕目标的同时避开障碍物,但大多数面向对象的研究都是单个机器人和单个障碍物。考虑到面向对象的简单性,本文采用机器人集群来避开多个障碍物。人工势场算法以其结构简单、计算量小、实时性好等优点被广泛应用于机器人避障领域。但在实际使用中人工势场算法存在一定的缺陷,主要包括目标不可达问题和局部极小值问题,通过对传统人工势场算法的改进,本研究从而改进人工势场算法在使用时的不足,从而改进人工势场算法在移动机器人围捕目标时的避障能力。最后,仿真结果表明,改进的人工势场法解决了局部最小值和目标不可达问题,具有良好的动态避障能力。该方法保证了球形机器人群的可靠性,提高了多机器人群的效率。
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引用次数: 3
A Hybrid Motion Stiffness Control of Variable Stiffness Actuator for Upper Limb Elbow Joints Rehabilitation 上肢肘关节康复变刚度执行器的混合运动刚度控制
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9855934
Ziyi Yang, Shuxiang Guo
The variable stiffness actuator (VSA) can be integrated into the robotics to improve the inherent compliance characteristics of robotics for the safe physical human robot interaction (pHRI). The output stiffness of the VSA is excepted to be independently controllable during the rehabilitation training processing. Furthermore, the motion and stiffness control of VSA can be independently controlled by VSA for rehabilitation application scenario. In this paper, a hybrid motion stiffness control strategy for achieving assist-as-needed control and suitable patient-robot interaction was proposed utilizing the compliance characteristic of VSA. The elbow joint output stiffness could be adjusted by a linear mapping method to obtain controllable assistant level, which is based on the real-time bilateral position tracking error. It is noted that the linear mapping scaler could be regulated for different patient injury-levels. The preliminary experimental results show that the proposed method can adjust the elbow joint stiffness for patients according to the real-time bilateral position errors.
将变刚度作动器(VSA)集成到机器人中,可以提高机器人的内在顺应性,实现安全的人机物理交互(pHRI)。在康复训练过程中,VSA的输出刚度是独立可控的。此外,在康复应用场景中,VSA的运动和刚度控制可以由VSA独立控制。本文利用VSA的柔度特性,提出了一种混合运动刚度控制策略,以实现按需辅助控制和患者与机器人的适当交互。基于实时双侧位置跟踪误差,采用线性映射法调节肘关节输出刚度,获得可控的辅助水平。注意到线性映射标度可以根据不同的患者损伤程度进行调节。初步实验结果表明,该方法可以根据患者的实时双侧位置误差来调整患者的肘关节刚度。
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引用次数: 2
Modeling and Synergetic Simulation of a Lower Limb Exoskeleton Robot With the Human Subject 人体主体下肢外骨骼机器人建模与协同仿真
Pub Date : 2022-08-07 DOI: 10.1109/ICMA54519.2022.9856355
Yunde Shi, Mingqiu Guo, Ruiyang Wang, Dan Xia, Xiang Luo, Xiaoqiang Ji, Yuan Yang
This paper conducts the study on the dynamic modeling and simulation of a lower limb exoskeleton with the human subject in the loop. Lagrangian method is used for the theoretical derivation and formulation of the dynamics of the synergetic human-exoskeleton system. The standing-up motion of the human subject from a chair is simulated for demonstration in MSC ADAMS software. The associated joint angles of both the human subject and exoskeleton robot are recorded and compared for studying the synergetic effect between the human subject and exoskeleton robot. The simulation results show that there are certain amount of motion discrepancy between the human subject and lower limb exoskeleton during operation, which makes accurate control difficult and could even lead to possible unbalance of the entire human-exoskeleton system.
本文对以人体为主体的下肢外骨骼进行了动力学建模与仿真研究。采用拉格朗日方法对人-外骨骼协同系统动力学进行了理论推导和表述。在MSC ADAMS软件中模拟了人体从椅子上站起来的动作。记录并比较人体主体与外骨骼机器人的关联关节角度,研究人体主体与外骨骼机器人的协同效应。仿真结果表明,在操作过程中,人体主体与下肢外骨骼之间存在一定的运动差异,这给精确控制带来困难,甚至可能导致整个人体外骨骼系统的不平衡。
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引用次数: 0
期刊
2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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