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Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics最新文献

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A hysteresis loop control method for output current of three-phase photovoltaic grid-connected inverters 一种三相光伏并网逆变器输出电流的磁滞环控制方法
Bin Wang, Ying Shi, Xin Gao
In the design of a three-phase photovoltaic grid-connected inverter system, the control strategy usually adopts hysteresis loop current control. To solve this problem, space vector-asymmetric double hysteresisloop current control method is introduced, which can reduce the switching frequency and the switching loss to a certain extent and realize the grid-connected current power factor close to 1. The simulation models based on the three-phase stationary coordinate system and two-phase stationary coordinate system are built-in Matlab/Simulink simulation platform respectively. The two control strategies are compared and analyzed in terms of grid-connected current and voltage, switching frequency, power factor, etc. The simulation results verify the correctness of the control scheme.
在三相光伏并网逆变器系统的设计中,控制策略通常采用滞后环电流控制。为解决这一问题,引入空间矢量非对称双滞环电流控制方法,可在一定程度上降低开关频率和开关损耗,实现并网电流功率因数接近1。基于三相静止坐标系和两相静止坐标系的仿真模型分别内置了Matlab/Simulink仿真平台。从并网电流电压、开关频率、功率因数等方面对两种控制策略进行了比较和分析。仿真结果验证了控制方案的正确性。
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引用次数: 0
Design and Implementation of a Batteryless Pedometer based on a Motion Tracking Sensor 基于运动跟踪传感器的无电池计步器的设计与实现
Daiyuan Jing
This paper proposes a batteryless pedometer device. It is a wearable device which can sufficiently collect motional energy during human movements and convert it into electrical energy to power the pedometer. To achieve functions mentioned above, this paper first introduces a low-cost implementation scheme for the pedometer, including sensor, microprocessor, and a wireless communication protocol. Secondly, the paper gives a scheme about motion energy capture and power supply, including a swing energy capture device that match the motion characteristic and an efficient power management unit. Lastly, a prototype of the pedometer device and its corresponding user interface are established to verify the feasibility of above sections from the perspective of functional realization.
本文提出一种无电池计步器装置。它是一种可穿戴设备,可以充分收集人体运动过程中的运动能量,并将其转化为电能,为计步器供电。为了实现上述功能,本文首先介绍了一种低成本的计步器实现方案,包括传感器、微处理器和无线通信协议。其次,给出了一种运动能量捕获和供电方案,包括匹配运动特性的摆动能量捕获装置和高效的电源管理单元。最后,建立了计步器的原型和相应的用户界面,从功能实现的角度验证了上述部分的可行性。
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引用次数: 0
Target Tracking Algorithm Based on Multi-feature Adaptive Fusion in Complex Scenes 基于多特征自适应融合的复杂场景目标跟踪算法
Zhuangzhuang Wang, Jianchao Huang, Shujing Chen, Zejun Zhang, Zhiming Cai
Traditional correlation filtering algorithms limit the tracking performance in complex scenes because they cannot fully utilize the features of the target. To solve this problem, a multi-feature adaptive fusion target tracking algorithm is proposed in this paper. First, the HOG feature, CN feature and Gray feature of the target are extracted respectively, and the CN feature and Gray feature are linearly splined into color feature by cat function to improve the discriminability of feature representation in the tracking process. Then, the maximum response values of HOG feature and color feature are calculated respectively, and the response values are normalized. Finally, the fusion weights of the features are determined according to the normalization results, and the adaptive fusion of the features is realized in the response layer. In order to ensure the feasibility of feature fusion, APCE value was introduced in this paper to compare the indicators before and after fusion, and experiments were conducted on OTB2015. The results show that the algorithm presented in this paper has significantly improved the success rate and accuracy, and has good robustness to deal with complex environments.
传统的相关滤波算法由于不能充分利用目标的特征,限制了复杂场景下的跟踪性能。为了解决这一问题,本文提出了一种多特征自适应融合目标跟踪算法。首先,分别提取目标的HOG特征、CN特征和Gray特征,通过cat函数将CN特征和Gray特征线性样条化为颜色特征,提高跟踪过程中特征表示的可分辨性;然后分别计算HOG特征和color特征的最大响应值,并对响应值进行归一化处理。最后,根据归一化结果确定特征的融合权值,在响应层实现特征的自适应融合。为了保证特征融合的可行性,本文引入APCE值对融合前后的指标进行比较,并在OTB2015上进行实验。结果表明,本文提出的算法在处理复杂环境时具有较好的鲁棒性,显著提高了成功率和准确率。
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引用次数: 1
Research on the Problem of Circular Blank Based on Shear Cutting 基于剪切切割的圆坯问题研究
Jun Ji, Haijun Zhou, Feifei Xing
This article introduces the research background of the layout problem of circular parts, classifies the layout problems of circular parts, and then analyzes the layout pattern of the test questions. Finally, the factors that affect the utilization rate of the plate include the blank species, the number and length of the cutting blade.
本文介绍了圆形零件布置问题的研究背景,对圆形零件布置问题进行了分类,分析了试题布置模式。最后,影响板材利用率的因素包括毛坯种类、切割刀片的数量和长度。
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引用次数: 0
An energy-efficient V2X Resource Allocation for User Privacy Protection: A Learning-Based Approach 面向用户隐私保护的高效V2X资源分配:基于学习的方法
Xinyue Chai, Mengqian Cheng, Quangu Chen, Xiaoqin Song, Tiecheng Song
In Intelligent Transportation Systems(ITS), vehicles are mainly considered to travel in vehicle groups on highways, and in cities, C-V2X is more prone to data eavesdropping when communi-cating at vehicle convergence sections such as intersections, and with limited spectrum resources, communication quality needs to be guaranteed and enhanced. It is a great challenge to improve the spectrum efficiency (SE) and energy efficiency (EE) of the V2X network while satisfying the C-V2X confidentiality rate. To solve this problem, this paper proposes a deep reinforcement learning based SE and EE enhancement algorithm. It establishes an objective optimization function that considers both SE and EE, and uses the secrecy rate of C-V2X as the key constraint of this function. The optimization problem is transformed into a spec-trum and transmission power selection problem for V2V and V2I links using the Deep-Q-Network ( DQN ). The simulation results show that the overall efficiency and V2V link secrecy rate of the proposed algorithm is significantly higher than that of the ran-dom algorithm when the number of vehicles is between 20 and 40, with an average secrecy rate increase of 82.86%.
在智能交通系统(Intelligent Transportation system, ITS)中,车辆主要考虑在高速公路上以车辆组为单位行驶,在城市中,C-V2X在十字路口等车辆汇聚路段通信时更容易发生数据窃听,频谱资源有限,需要保证和提高通信质量。如何在满足C-V2X保密率的同时,提高V2X网络的频谱效率(SE)和能量效率(EE)是一个巨大的挑战。为了解决这一问题,本文提出了一种基于深度强化学习的SE和EE增强算法。建立了兼顾SE和EE的目标优化函数,并以C-V2X的保密率作为该函数的关键约束。利用深度q网络(Deep-Q-Network, DQN)将优化问题转化为V2V和V2I链路的频谱和传输功率选择问题。仿真结果表明,当车辆数量在20 ~ 40辆之间时,所提算法的整体效率和V2V链路保密率明显高于随机算法,平均保密率提高82.86%。
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引用次数: 0
The Application of Reverse Engineering for Coal Machinery spare parts 逆向工程在煤炭机械零配件中的应用
Tingfeng Song
The characteristics of Imported coal Machinery directly restricts the efficiency of spare parts localization. For this reason, the paper introduced reverse engineering and introduced three key techniques of spare parts localization in reverse engineering, gathering data, building 3D model, generating the engineering drawings and application instance, the reverse engineering has a positive effect to improve the efficiency of the spare parts localization.
进口煤炭机械的特点直接制约了零部件国产化的效率。为此,本文引入了逆向工程,并介绍了逆向工程中零部件定位的三个关键技术:数据采集、三维模型建立、工程图纸生成和应用实例,逆向工程对提高零部件定位效率具有积极的作用。
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引用次数: 1
Research on vehicle 3D data measurement method based on line laser scanning 基于直线激光扫描的车辆三维数据测量方法研究
Qi Liu, Xin Jin, Yu-di Zou, Wei Zhang
The three-dimensional reconstruction of vehicle surface point cloud can provide effective reference data for robot path planning of vehicle surface spraying. A three-dimensional data measurement method of vehicle surface based on line laser sensor is proposed in this paper. This paper collects the point cloud information of vehicle surface by line laser sensor, extracts the effective three-dimensional information of vehicle surface. and takes the regular block and vehicle model as the experimental object, use the measurement system with the sensor clamped by the manipulator to measure the three-dimensional data, compare the point cloud data accuracy under different measurement depth and scanning speed, and reconstruct the vehicle model. The research shows that this method is feasible.
车辆表面点云的三维重建可以为机器人进行车辆表面喷涂路径规划提供有效的参考数据。提出了一种基于直线激光传感器的车辆表面三维数据测量方法。利用直线激光传感器采集车辆表面点云信息,提取有效的车辆表面三维信息。并以规则块和车辆模型为实验对象,利用机械手夹紧传感器的测量系统对三维数据进行测量,比较不同测量深度和扫描速度下点云数据的精度,重构车辆模型。研究表明,该方法是可行的。
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引用次数: 0
Analysis of the Workspace of UVW Platform UVW平台工作空间分析
Xinfeng Fan, M. Huang, T. Yang, Chen Fu, Yi Wan, Guanghui Shang
In order to achieve clean and precise assembly, the visual alignment system is often used in production to eliminate installation errors. However, the system actuator, UVW platform has the problem that the working space is difficult to solve, and the working boundary is difficult to accurately calculate, which affects the system alignment accuracy. To solve the above problems, this paper started from the structure, degree of freedom and plane model of the platform, solved the positive and negative solution equations of the platform position, and analyzed the singularity of the platform. By using the movement characteristics of platform 2 translation and 1 rotation, the XYθ three-dimensional workspace was constructed, and the shape and size change process of the platform working space were analyzed through the layered analysis method. It can be seen from the simulation results that the three-dimensional workspace can accurately obtain both the working boundary of the platform and the distribution of point clouds, which provides a basis for precise control of the platform.
为了实现清洁和精确的装配,在生产中经常使用视觉对准系统来消除安装误差。然而,系统执行机构UVW平台存在工作空间难以求解、工作边界难以精确计算的问题,影响了系统对准精度。为解决上述问题,本文从平台的结构、自由度和平面模型入手,求解了平台位置的正解方程和负解方程,并对平台的奇异性进行了分析。利用平台2平移1旋转的运动特性,构建了xyz θ三维工作空间,并通过分层分析方法分析了平台工作空间的形状和尺寸变化过程。从仿真结果可以看出,三维工作空间既能准确获取平台的工作边界,又能准确获取点云分布,为平台的精确控制提供了依据。
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引用次数: 0
Research on frequency difference EIT excitation strategy for CFRP composites CFRP复合材料的频差EIT激励策略研究
W. Fan, Pengchao Zhang
With the wide application of Carbon Fiber Reinforced Polymer (CFRP) in aerospace, transportation and other fields, it is of great significance to inspect its structural integrity. Aiming at the carbon fiber composite used in aviation equipment, a frequency difference electrical impedance tomography (fdEIT) detection method is proposed. This method can realize the structural damage detection of carbon fiber composites without prior information. Combined with previous research, the article adopts the structure of evenly arranging electrodes around the CFRP laminate, and on this basis, analyzes and compares four excitation measurement strategies. The finite element analysis software is used to construct three common damages in CFRP laminates, and multiple evaluation indicators are used to evaluate the use effect of the four excitation methods from the perspective of measurement data and image reconstruction effect. The results show that the excitation mode of electrodes with one electrode interval has a good effect on the detection of typical impact damage and delamination damage, and the overall performance is relatively good, which provides a reference for the next research.
随着碳纤维增强聚合物(CFRP)在航空航天、交通运输等领域的广泛应用,对其结构完整性进行检测具有重要意义。针对航空装备中使用的碳纤维复合材料,提出了一种频差电阻抗层析成像(fdEIT)检测方法。该方法可以实现无先验信息的碳纤维复合材料结构损伤检测。结合前人的研究,本文采用电极均匀排列在CFRP层压板周围的结构,并在此基础上对四种励磁测量策略进行了分析和比较。利用有限元分析软件构建CFRP层合板的三种常见损伤,并从测量数据和图像重建效果两方面,采用多重评价指标对四种激励方法的使用效果进行评价。结果表明,一个电极间隔的电极激励方式对典型冲击损伤和分层损伤的检测效果较好,总体性能较好,为下一步的研究提供了参考。
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引用次数: 0
Development of Hydraulic Flow Control Valve for Intelligent Gas Well 智能气井液压流量控制阀的研制
Jinlong Wang, Jiewen Sun, Xianbo Xue, Yue Qu, R. Bai, Bing Zhang, Yingru Wang
Intelligent gas wells are an important means to control water cut, gas production and efficient development for gas reservoirs with bottom water. The development of hydraulic flow control valve is the key for the core completion tool of intelligent gas wells. Compared with the hydraulic flow control valve of intelligent completion for oil and water wells, the tightness requirements between the flow trim and the sliding sleeve of the hydraulic flow control valve in intelligent gas well are higher, and the sliding sleeve positioning requires more precise. The development of hydraulic flow control valve for intelligent gas wells in this paper adopts adjustable locking mechanism that can realize accurately locate the position of the sliding sleeve by setting different numbers of springs and adjusting the elastic force of the springs to adjust the hydraulic unlocking force. The dual sealing structure of metal seal and O-ring seal is adopted between the flow trim and the sliding sleeve to solve the gas tightness of the tool. The combination of laboratory experiment and fluid simulation analysis was used to first time confirm the shape of the valve hole suitable for hydraulic flow control valve for gas wells. Through the self-developed intelligent completion simulation system experiment, it can be seen that the pressure equalization and production control effect are good in the double-segment for water control and gas production process, and the gas production of a single well is increased by 17.8%, which can be combined with the downhole hydraulic reversing control system to form a low-cost intelligent gas well system to use in gas wells above 3000m. The development of hydraulic flow control valve has filled the gaps in the research of Chinese intelligent gas wells, and it has great significance in the theoretical research and practical application.
智能气井是底水气藏控制含水、产气、高效开发的重要手段。液压流量控制阀的研制是智能气井岩心完井工具的关键。与油水井智能完井液压流量控制阀相比,智能气井液压流量控制阀的流量阀与滑套之间的密封性要求更高,滑套定位要求更精确。本文开发的智能气井液压流量控制阀采用可调锁定机构,通过设置不同数量的弹簧,调节弹簧的弹性力来调节液压解锁力,实现对滑套位置的精确定位。流动阀芯与滑套之间采用金属密封和o型圈密封的双重密封结构,解决了工具的气密性问题。采用室内实验与流体仿真分析相结合的方法,首次确定了适合气井液压流量控制阀的阀孔形状。通过自主研发的智能完井仿真系统实验,可以看出,在控水产气过程的双段均压和产控效果良好,单井产气量提高17.8%,可与井下液压换向控制系统相结合,形成低成本的智能气井系统,应用于3000m以上气井。液压流量控制阀的研制填补了我国智能气井研究的空白,在理论研究和实际应用方面都具有重要意义。
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引用次数: 0
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Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
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