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2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE)最新文献

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Swarm Motion of Underwater Robots Based on Local Visual Perception 基于局部视觉感知的水下机器人群体运动
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208385
Qiaoqiao Zhao, Lichuan Zhang, Lu Liu, Shuchang Bai, Cao Yong, Li Han
Many large schools of fish exhibit collective behaviors, such as large-scale migration and the formation of cylindrical arrays to evade predators. Previous studies have shown that these collective behaviors do not rely on global explicit information exchange but are achieved through visual observation of neighboring individuals. Given the unique characteristics of the underwater environment, a global positioning system similar to that on land has not yet been developed. Therefore, it is meaningful to investigate swarm motion based on local information exchange for underwater robots. Drawing inspiration from the swarm motion of fish, this study focuses on the swarm motion of underwater manta ray-like robots based on local visual perception information interaction. Firstly, a deep convolutional neural network method is employed to design a neighbor detection algorithm. This algorithm enables real-time acquisition of relative distance, orientation, and tracking ID information of neighboring robots. The proposed method is deployed on underwater manta ray-like robots, and a series of underwater experiments are conducted. The experimental results demonstrate improved detection accuracy and processing speed. Subsequently, a swarm motion model based on local visual perception is proposed. The neighbor detection information obtained in the experiments is utilized as constraint information for the simulation-based swarm motion model. The results indicate that swarm motion of the robot can be achieved through the acquisition of neighbor robot information. The research is based on local visual perception of group movement, which can make up for the inability to achieve global positioning in the underwater environment. And this research provides a framework for underwater swarm motion in the context of manta ray-like robots.
许多大型鱼群表现出集体行为,如大规模迁徙和形成圆柱形阵列以躲避捕食者。先前的研究表明,这些集体行为并不依赖于全局显式信息交换,而是通过对相邻个体的视觉观察来实现的。鉴于水下环境的独特特点,目前还没有开发出类似于陆地上的全球定位系统。因此,研究基于局部信息交换的水下机器人群体运动具有重要意义。本研究以鱼类群体运动为灵感,研究基于局部视觉感知信息交互的水下蝠鲼类机器人群体运动。首先,采用深度卷积神经网络方法设计邻居检测算法;该算法可以实时获取相邻机器人的相对距离、方向和跟踪ID信息。将该方法应用于水下蝠鲼机器人,并进行了一系列水下实验。实验结果表明,该方法提高了检测精度和处理速度。随后,提出了一种基于局部视觉感知的群体运动模型。实验中获得的邻居检测信息作为约束信息用于基于仿真的群体运动模型。结果表明,通过获取相邻机器人的信息,可以实现机器人的群体运动。本研究基于群体运动的局部视觉感知,可以弥补在水下环境中无法实现全局定位的不足。这项研究为蝠鲼类机器人的水下群体运动提供了一个框架。
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引用次数: 0
Research on Intelligent Monitoring and Irrigation System for Farmland Based on IoT and 5GTechnology 基于物联网和5g技术的农田智能监控灌溉系统研究
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10209060
Guangda Lu, Jianyi Dai, Zhuanping Qin, Tinghang Guo, Yu Han, Mingzhi Wei
A farmland intelligent monitoring and irrigation system based on the Internet of Things and 5G technology is designed. The system mainly includes two templates: intelligent monitoring system and intelligent control system, in which the intelligent monitoring system is mainly responsible for detecting soil temperature and humidity and trace elements such as nitrogen, phosphorus and potassium, and the intelligent control system is mainly responsible for remote operation of intelligent irrigation. The system measures soil temperature, humidity and trace elements such as nitrogen, phosphorus and potassium through the sensors in the intelligent monitoring section, and uses 5G wireless transmission technology to send the data collected by the sensors to the Internet of Things, which then transmits the collected information to a mobile app. The system can solve the shortcomings of traditional irrigation methods which are cumbersome and seriously inefficient in irrigating agricultural facilities.
设计了一种基于物联网和5G技术的农田智能监测灌溉系统。该系统主要包括智能监测系统和智能控制系统两个模板,其中智能监测系统主要负责检测土壤温湿度及氮、磷、钾等微量元素,智能控制系统主要负责智能灌溉的远程操作。该系统通过智能监控段的传感器测量土壤温度、湿度和氮、磷、钾等微量元素,并利用5G无线传输技术将传感器采集到的数据发送到物联网;然后将收集到的信息传输到移动应用程序。该系统可以解决传统灌溉方法在灌溉农业设施时繁琐且效率低下的缺点。
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引用次数: 0
Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms 基于混合启发式算法的水下无人集群协同部署规划
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208954
Ranzhen Ren, Lichuan Zhang, Lu Liu, Guang-xu Pan, Qiaogao Huang, Yi Chen
The unmanned underwater platform cluster is suitable for tasks such as marine environmental monitoring, offshore exploration, and military tactical reconnaissance. The performance of an unmanned underwater platform cluster for cooperative sensing depends on the deployment of unmanned platforms and the sensing performance of a single-platform. In this paper, a hybrid heuristic algorithm for cooperative deployment planning of underwater unmanned cluster is proposed and verified by establishing a single-platform detection probability model based on the Boolean model considering the fault tolerance radius. The simulation results show that the proposed algorithm can effectively improve the cooperative observation probability of the surveillance area, because the rapid signal fading of the single-platform detection probability model seriously affects the efficiency of cooperative detection. The optimal coverage rate can reach 79.55% under certain conditions.
无人水下平台集群适用于海洋环境监测、近海勘探、军事战术侦察等任务。水下无人平台集群协同传感的性能取决于无人平台的部署和单平台的传感性能。本文提出了一种用于水下无人集群协同部署规划的混合启发式算法,并通过建立考虑容错半径的布尔模型的单平台检测概率模型进行了验证。仿真结果表明,由于单平台检测概率模型的快速信号衰落严重影响了协同检测的效率,提出的算法可以有效地提高监控区域的合作观测概率。在一定条件下,最优覆盖率可达79.55%。
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引用次数: 0
Dynamic Differential Flatness of Cable Elasticity of a Cable-driven Parallel Manipulator 缆索驱动并联机械臂缆索弹性的动态差分平面度
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208769
Qianqian Li, Haoling Ren, Tianliang Lin, Zhibo Tan, Qichen Huang, Yihong Peng
Cable manipulator can play a lifting role in the dock stacking, mineral mining, marine fishing and other fields, which has a wide range of applications. However, the cable elasticity itself will affect the accuracy of the cable force control, which in turn affects the positional control accuracy of the end-effector. To solve the problem of control accuracy caused by simplifying the cable to a linear model without considering the cable elasticity, this paper adopts the model of simplifying the cable to a linear spring plus a lightweight connecting rod. The elasticity of the linear spring, i.e., the cable tension is derived through the static equilibrium equation. And a dynamics simulation analysis of the three-cable three-degree-of-freedom parallel manipulator is conducted. The end position and its derivative as the flat output of the system is selected and the linear process of nonlinear control theory is used to prove the differential flatness of the system. Through theoretical analysis and example simulation, the difference of the requested tension force when the cable elasticity is considered or not is compared and analyzed. It is shown that the proposed dynamics analysis of the cable parallel manipulator with cable elasticity has influence on the moment control of the whole manipulator. It is verified that the magnitude of the cable elasticity is ultimately affected by the change of the cable acceleration. And this dynamics analysis can improve the control process caused by the high speed change of the end-effector to analyze the effect of imprecise force control brought by the high speed change of cable elasticity of the cable, It provides a more accurate theoretical basis for establishing a more accurate theoretical model of dynamics
电缆机械手可以在码头堆垛、矿产开采、海洋捕捞等领域起到起重作用,具有广泛的应用范围。然而,索弹性本身会影响索力控制的精度,进而影响末端执行器的位置控制精度。为解决将缆索简化为线性模型而不考虑缆索弹性所带来的控制精度问题,本文采用将缆索简化为线性弹簧加轻量化连杆的模型。通过静力平衡方程推导出直线弹簧的弹性,即索张力。并对三缆三自由度并联机械臂进行了动力学仿真分析。选择末端位置及其导数作为系统的平面输出,利用非线性控制理论的线性过程证明系统的微分平面性。通过理论分析和实例仿真,比较分析了考虑和不考虑索弹性时所要求拉力的差异。结果表明,考虑缆索弹性的缆索并联机械臂的动力学分析对整个机械臂的力矩控制有重要影响。验证了索的弹性大小最终受索加速度变化的影响。并且该动力学分析可以改善末端执行器高速变化引起的控制过程,分析索的索弹性高速变化带来的不精确力控制的影响,为建立更精确的动力学理论模型提供更准确的理论依据
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引用次数: 0
Reducing Emissions through AdBlue Tank Temperature Control in Diesel Engines with SCR System 通过AdBlue控制SCR柴油机油箱温度降低排放
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208933
Jojan Valle-De La Cruz, Luis Crisostomo-Soto, Gonzalo Sulca-Ramos, Kener Velasquez-Colorado, Hector Valcarcel-Castillo, Deyby Huamanchahua
The AdBlue system consists of inserting the urea-water mixture into the exhaust pipe to reduce the emission of polluting gases. Hence, the liquid and exhaust pipe temperatures are essential factors. This research aims to implement a temperature control and monitoring system for AdBlue deposits when they are affected by environmental temperature and climate change. To carry out the design of the control system, the VDI 2206 methodology was used based on four stages until the modeling and analysis of the model in the LabView software. The design of the controller was obtained before the change in temperature of the environment, which affects the urea deposits, so suitable and selected components are used through a morphological matrix. Finally, this research allows controlling the state of the AdBlue deposits, since to have a good performance of emission reduction, there is a temperature range ranging from -10 to 25 ° C, for this control system is created that allows to increase the temperature or decrease it, to obtain a good performance.
AdBlue系统包括将尿素-水混合物插入排气管以减少污染气体的排放。因此,液体和排气管温度是必不可少的因素。本研究旨在实现AdBlue沉积物受环境温度和气候变化影响时的温度控制与监测系统。采用VDI 2206方法,分四个阶段进行控制系统的设计,直到在LabView软件中对模型进行建模和分析。控制器的设计是在环境温度变化前获得的,环境温度变化会影响尿素沉积,因此通过形态矩阵选择合适的元件。最后,本研究允许控制AdBlue沉积物的状态,因为要有良好的减排性能,有一个温度范围从-10到25°C,因为这个控制系统是允许增加或降低温度,以获得良好的性能。
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引用次数: 0
Design of an Automatic Locking Nut Tightening Control System for a Vision Guided Robot 视觉引导机器人锁紧螺母自动拧紧控制系统设计
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208422
Kai Chang, B. Lu, Jian Yin, Guangchao Tan
A set of automatic locking nut tightening control system for a vision guided robot is designed and implemented. Through hand-eye calibration, the coordinate system is unified. By the designed tool plate and tapered tooling, the calibrated reference location for the tightening tool is realized. According to the position and orientation of the reference screw, the vision system detects the offset of the current screw position, and guides the robot to adjust the pose of the tightening tool. By setting up the network topology of the control system, the data interaction of each subsystem is completed, and the automatic workflow is realized. The application of the system can avoid the relative movement between the tool and screw during the tightening process, and improve the tightening quality.
设计并实现了一套视觉引导机器人锁紧螺母自动拧紧控制系统。通过手眼标定,实现了坐标系的统一。通过设计的刀板和锥形工装,实现了拧紧刀具的标定基准位置。根据参考螺钉的位置和方向,视觉系统检测当前螺钉位置的偏移量,引导机器人调整拧紧工具的位姿。通过建立控制系统的网络拓扑结构,完成各子系统的数据交互,实现自动化工作流程。该系统的应用避免了拧紧过程中刀具与螺钉之间的相对运动,提高了拧紧质量。
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引用次数: 0
Weakly Illumination Image Enhancement Algorithm in GIS Cavity GIS空腔弱光照图像增强算法
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10208889
Yang Yu, Heng Qiao, Zhi Fan, Fei Li, Ningyi Geng, Long Wang, J. Sun, Xuke Zhong
This paper proposes a dual-frequency image fusion algorithm to address the problem of poor preservation of image naturalness in GIS cavities. Firstly, the low-frequency image is obtained by low-pass filtering, and using an improved illumination estimating algorithm to improve low-frequency image brightness; At the same time, using homomorphic high-pass filtering suppresses the low-frequency components and enhances the high-frequency components of the image, and high-frequency image with increased details and uniform illumination is obtained; Then, linear fusion is used to perform linear fusion on the enhanced high and low-frequency images; Finally, experimental verification was conducted in GIS cavities environment, and the effectiveness of the image enhancement algorithm was verified by comparing multiple image evaluation indicators.
本文提出了一种双频图像融合算法,以解决GIS空腔中图像自然度保存差的问题。首先,通过低通滤波获得低频图像,并采用改进的照度估计算法提高低频图像亮度;同时,利用同态高通滤波抑制图像的低频分量,增强图像的高频分量,得到细节增加、光照均匀的高频图像;然后,采用线性融合对增强后的高低频图像进行线性融合;最后,在GIS空腔环境中进行实验验证,通过对比多个图像评价指标,验证图像增强算法的有效性。
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引用次数: 0
A Distributed Task Allocation Method Based on Improved Contract Network Protocol for Air-Ground Collaboration 基于改进契约网络协议的地空协同分布式任务分配方法
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10209055
Jianhua Wang, Nan Wang, Y. Miao
This paper proposes a novel distributed task allocation method based on improved contract network protocol for collaborative task allocation of reconnaissance and strike tasks on heterogeneous unmanned aerial platforms. Firstly, considering the heterogeneity and endurance of unmanned aerial platforms, as well as the time-sensitive characteristics of tasks, a task allocation model was established with the goal of maximizing global benefits. In the proposed method, a single unmanned platform satisfies the constraints of the task allocation model by designing the encoding and decoding methods of the existing sparrow search algorithm, and achieves the selection of its local optimal task execution path (similar to the single traveling salesman problem); By sequentially auctioning a single task, conflicts between different unmanned platforms are resolved and global benefits are improved. The bidding method for bidders, task award rules for auctioneers to select winning bidders, and judgment mechanisms for auction termination are designed. The numerical simulation results validate the feasibility of the proposed method and its superiority in global benefits compared to the contract network protocol.
针对异构无人机平台侦察打击任务协同任务分配问题,提出了一种基于改进合同网络协议的分布式任务分配方法。首先,考虑无人机平台的异构性和耐久性,以及任务的时敏性,以全局效益最大化为目标,建立任务分配模型;在该方法中,单个无人平台通过设计现有麻雀搜索算法的编码和解码方法来满足任务分配模型的约束,并实现其局部最优任务执行路径的选择(类似于单个旅行商问题);通过对单个任务的顺序拍卖,解决了不同无人平台之间的冲突,提高了整体效益。设计了投标人的投标方式、拍卖人选择中标人的任务授予规则和拍卖终止的判断机制。数值仿真结果验证了该方法的可行性,并与契约网络协议相比具有全局效益优势。
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引用次数: 0
Cover 封面
Pub Date : 2023-07-01 DOI: 10.1109/cacre58689.2023.10208917
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引用次数: 0
Positioning Obstacle Avoidance Control of AGV with no Local Minimum Problem via Safety LOS Guidance 基于安全LOS制导的无局部最小问题AGV定位避障控制
Pub Date : 2023-07-01 DOI: 10.1109/CACRE58689.2023.10209021
Yuanpei Ding, Pengfei Zhang, Ye Chen, Qiyuan Chen
This paper studies the positioning and obstacle avoidance control of automated guided vehicles (AGV). First, we have established the kinematics model for AGV by equivalent the obstacle to a circle. Different from the conventional obstacle avoidance methods, we use the polar coordinate method to express the obstacle position. Second, for the presented AGV system, we propose a safety heading angle base on the Line of sight (LOS) method. Unlike the traditional LOS method, this paper introduces the tangent angle of the circle formed by AGV and obstacles as the guidance of LOS. Therefore, AGV's heading will not be toward obstacles to achieve obstacle avoidance control. Then, to ensure that AGVs reach the target point, we propose a positioning heading angle that can achieve obstacle avoidance based on the above safety guidance algorithm. Compared with the traditional artificial potential field (APF) obstacle avoidance method, the proposed method has no misalignment of the balance point. Finally, experiments are conducted using a ROS-based AGV experimental platform to demonstrate the algorithm's feasibility. The experimental results show that the algorithm can effectively solve the problem of misalignment of target points in the traditional artificial potential field algorithm.
本文研究了自动导引车(AGV)的定位与避障控制。首先,将障碍物等效为一个圆,建立了AGV的运动学模型。与传统的避障方法不同,我们采用极坐标法来表示障碍物的位置。其次,针对所提出的AGV系统,提出了一种基于视线(LOS)的安全航向角方法。与传统的目视方法不同,本文引入了AGV与障碍物形成的圆的切角作为目视的导引。因此,AGV的航向不会朝向障碍物,从而实现避障控制。然后,为了保证agv到达目标点,我们在上述安全制导算法的基础上提出了一种能够实现避障的定位航向角度。与传统的人工势场避障方法相比,所提出的避障方法不存在平衡点的不对准问题。最后,在基于ros的AGV实验平台上进行了实验,验证了算法的可行性。实验结果表明,该算法能有效解决传统人工势场算法中目标点不对准的问题。
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引用次数: 0
期刊
2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE)
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