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Research on automatic alignment system of H-pillar assembly equipment of high-speed railway catenary based on visual guidance 9

Research on automatic alignment system of H-pillar assembly ...

引用

9th international conference on Energy Materials and Electrical Engineering, ICEMEE 2023

作者： Zhang, Yaqiang Ding, Huanhuan Li, Junwei Cssc Haiwei Tech Co. Ltd. Henan Zhengzhou450000 China

ISBN: (纸本)9781510672765

In the traditional sense, the assembly and installation of OCS pillars is carried out by manual hoisting, which requires a lot of manpower to bind the pillars, manually assist the alignment, unbind the pillars and other installation operations. There are some problems in the operation process, such as poor safety, low efficiency, high labor cost, high risk of high-altitude operation and so on. This paper presents a system of automatic alignment guided by binocular vision, which improves the construction process of high-speed railway catenary, improves the work efficiency and reduces the operation risk. This system is equipped with a binocular vision camera and customized specific targets for position difference calibration and guidance, and motion control is achieved through high-precision, multi degree of freedom robotic arms, thereby achieving automatic alignment and installation function. On the one hand, it has improved the reliability and automation level of the installation of the H-shaped pillar assembly of the high-speed rail contact system, and on the other hand, it provides strong support for the construction of intelligent high-speed rail and high-quality high-speed rail, which has profound significance. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Assembly equipment automatic alignment Binocular vision control systems robotics Visualization Motion controllers Cameras Calibration Imaging systems

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A multifunctional electromagnetic generator for omnidirectional wind energy harvesting and self-powered wind vector detection 11

A multifunctional electromagnetic generator for omnidirectio...

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11th IEEE international conference on Cybernetics and intelligent Systems (CIS) / 11th IEEE international conference on robotics, Automation and Mechatronics (RAM)

作者： Yao, Yipei Fan, Shuyu Chi, Haozhen Gao, Chenyang Hou, Dibo Cao, Yunqi Zhejiang Univ Coll Control Sci & Engn Hangzhou Peoples R China

ISBN: (纸本)9798350364200;9798350364194

Constant and accurate wind vector information is an essential component of meteorological monitoring. However, in view of the wide distribution and poor sustainability of Internet of Things (IoT) nodes powered by batteries, traditional sensor technology has limited the development of distributed wind vector monitoring. Herein, we propose a multifunctional electromagnetic generator for omnidirectional wind energy harvesting and self-powered wind vector detection. A Savonius turbine structure is constructed to convert the wind blowing into the rotation of a magnet-embedded rotor, which then induces a voltage in wound coils fixed on a stator. On this basis, average power of 2.16-237.57 mW is obtained with a matched load under the wind speed of 1.80-4.50 m/s, where a superior minimum cut-in wind speed as low as 1.80 m/s is achieved. It is also revealed that the wind speed can be indicated by the root-mean-square value of the induced voltage, with the electromagnetic generator serving as a self-powered wind speed sensor without any external power supply. Besides, results show that an integrated photoelectric wind direction monitoring module has reached a resolution of 10 degrees. This work offers a convenient and self-sustained device for both wind energy harvesting and wind vector detection, which show promising prospects in IoT-based constant meteorological monitoring.

关键词： electromagnetic generator omnidirectional wind wind energy harvesting breeze wind self-powered wind vector detection

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Research on automatic Guided Vehicle Scheduling Strategies based on Artificial intelligent 3

Research on Automatic Guided Vehicle Scheduling Strategies b...

引用

3rd international conference on control and intelligent robotics, ICCIR 2023

作者： Wang, Chenke School of Intelligence science and technology University of Science and Technology Beijing China

ISBN: (纸本)9781510671867

automatic guided vehicles have widely utilized in the transportation works and assist to move the objects into certain areas. Therefore, avoiding the conflict of these vehicles and determine the effective scheduling strategies are an essential component to improve the effectiveness and guarantee the safe of these vehicles. Existing scheduling strategies are concentrated to utilize the mathematical models or train a machine learning algorithm to dispose the scheduling for each vehicles. In this work, we utilize the artificial neural network to solve the scheduling issue and achieve the high effectiveness of moving vehicles. Initially, we order the vehicles with the principle of priority and get the minimum Euclid distance for these vehicles. Subsequently, an artificial neural network is trained to obtain the scheduling routes for each vehicles. From our extensive simulation results and comparison analysis, we can conclude our proposed model can effectively achieve the scheduling routes for each vehicles and avoid the conflict or congestion among guided vehicles with reasonable computation and response time. © 2023 SPIE.

关键词： automatic guided vehicles

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Research on fuzzy control algorithm of intelligent washing machine 4

Research on fuzzy control algorithm of intelligent washing m...

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4th international conference on Testing Technology and Automation Engineering, TTAE 2024

作者： Niu, Jigao Jiu, Jiangke Hou, Junkai Xu, Chunhua Zhongyuan University of Technology School of Mechanical & Electronic Engineering Zhengzhou450007 China Anyang College Anyang450007 China

ISBN: (数字)9781510686656

ISBN: (纸本)9781510686649

To implement the fuzzy control algorithm in a microcontroller, a fuzzy control system for an automatic washing machine was established in the MATLAB/Simulink environment. Based on this fuzzy control system, a data extraction model was first established, and the data extraction algorithm was written using an M-file to obtain a two-dimensional array. Then, an RTW automatic code generation model was built, and the obtained two-dimensional array was imported into the 2-D Lookup Table block of the model. Using the RTW function in MATLAB, automatic code was generated, and the two-dimensional lookup interpolation algorithm in the code was analyzed. Finally, the algorithm was written into the microcontroller and experimentally verified. The results showed that the operational outcomes of the microcontroller were basically consistent with the offline simulation results of the model, and the designed fuzzy controller met the real-time and accuracy requirements of the control. © 2024 SPIE.

关键词： MATLAB

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Hysteresis Characteristics of Pneumatic Artificial Muscle 8

Hysteresis Characteristics of Pneumatic Artificial Muscle

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8th international conference on robotics, control and Automation (ICRCA)

作者： Cui Tingqiong Liang Shuang Luo TianHong Huang YaTing Fu Qiang Ma XiangYu Huang Yi Wu XiaoKai Chongqing Univ Arts & Sci Sch Intelligent Mfg Engn Chongqing Peoples R China Chongqing Push Power Technol Co Ltd Chongqing Peoples R China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738;9798350344721

Pneumatic artificial muscles (PAMs) have been widely applied in various fields such as flexible robots, medical robots and biomimetic robots due to their superior performance. However, the strong nonlinearity and obvious hysteresis phenomenon of PAMs directly affect the control precision, making it necessary to establish an accurate dynamic model. The modeling process is complicated by factors such as rubber materials, friction, gas and irregular deformations within the artificial muscles. In this study, a contractility testing platform for PAMs was constructed. Dynamic and static forces of PAMs were experimentally obtained, polynomial fitting was applied to model the relationship between the contractility and displacement. A hysteresis model for artificial PAMs was established to further investigate its hysteresis characteristics. This model can effectively represent the asymmetric hysteresis characteristics of PAMs during loading and unloading processes.

关键词： Pneumatic artificial muscles Hysteresis characteristic Nonlinear

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Design and Implementation of intelligent Drug Delivery Robot Based on ARM for Face Comparison

Design and Implementation of Intelligent Drug Delivery Robot...

引用

2024 international conference on Computing, robotics and System Sciences, ICRSS 2024

作者： Deng, Jiafa Tan, Hanhong Wang, Mingxin Guan, Jinteng Wang, Yulin Li, Lingwei Guangdong University of Science and Technology Dongguan523000 China Shenzhen Xinyingda Technology Co. Ltd. Shenzhen518102 China

ISBN: (纸本)9798331511296

After the outbreak of the epidemic, the problem of infection risk has been greatly enlarged. Therefore, in order to treat infectious diseases and reduce the infection risk between people, it is necessary to solve unnecessary contact at the root, so this epidemic promotes the trend of 'machine substitution'. An intelligent drug delivery robot based on ARM for face comparison is proposed. The intelligent drug delivery robot with STM 32 embedded system as the core, combining K210 neural network face recognition, upper tact control, voice prompt, intelligent security obstacle avoidance and autonomous tracking is designed. intelligent robot based on STM32F103ZET6 single-chip computer, equipped with K210 and KPU neural network operator, through HC-06 face recognition, communication with the computer, voice prompt function and ultrasonic obstacle avoidance, using MPU605066 axis gyroscope, JGB 37-520 DC deceleration motor and Tb6612 drive motor control the robot posture and operation, in the complex working environment accurately and safely complete the target tasks. Through the experimental test of the system, the operation efficiency and stability of the intelligent robot are verified, which has a certain promotion value in the society. © 2024 IEEE.

关键词： intelligent robots

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Radar and Vision Deep Multi-Level Feature Fusion Based on Deep Learning 4

Radar and Vision Deep Multi-Level Feature Fusion Based on De...

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4th international conference on Computer, control and robotics (ICCCR)

作者： Zhang Zhouping Yu Qin Wang Xiaoliang Zhang Qiancheng Bin Xin Nanchang Automot Inst Intelligence & New Energy Nanchang Jiangxi Peoples R China Tongji Univ Shanghai Peoples R China Jiangxi Isuzu Motors Co Ltd Nanchang Jiangxi Peoples R China

ISBN: (数字)9798350373141

ISBN: (纸本)9798350373141;9798350373158

Based on deep learning, a perception network structure of radar and vision depth multi-level feature fusion is designed to realize the effective perception of intelligent driving in foggy scenes. Aiming at the problem of low efficiency when traditional feature fusion methods are applied to heterogeneous sensors with asymmetric feature information, spatial attention fusion is used to realize asymmetric feature fusion of radar and vision. Aiming at the problem that the fusion level of radar and vision low-level single features is shallow, and the fusion features are difficult to transfer to the deep network, a deep multi-level feature fusion structure is constructed to realize the multi-stage fusion of radar and vision features. At the same time, the attention mechanism module is introduced to integrate the fusion features and extract key information. Finally, the validity of the network is verified by testing. The obtained defogging results are sent to the network for testing, which further verifies the effectiveness of the fusion defogging algorithm. Through comparative experiments, it is proved that the fusion perception network can effectively improve the detection accuracy and recall rate of the intelligent vehicle perception system in foggy scenes.

关键词： intelligent driving deep learning radar vision multi-level feature fusion

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INDUSTRIAL ROBOT control SYSTEM RESEARCH BASED ON THE DIRECTION OF PROGRAMMABLE LOGIC controlLERS

INDUSTRIAL ROBOT CONTROL SYSTEM RESEARCH BASED ON THE DIRECT...

引用

2024 international conference on Electrical Engineering and intelligent control, EEIC 2024

作者： Hu, Letian School of Electronics and Information Xijiao Liverpool University Anhui Hefei230000 China

ISBN: (纸本)9781837242672

With the rise of the intelligent manufacturing industry, industrial robots have also become a new development trend in today's industrial production and manufacturing technology. To understand and enhance the level of automation of industrial robots in the production process, to further achieve the precise control and coordination of the industrial production process. This paper combines industrial robots and automated operation and control under the guidance of Programmable Logic controllers (PLC) technology, as an example, to explore some of the applications and characteristics of PLC technology in industrial robots, and on this basis, in-depth excavation of the current status of the application of the technology and the prospects for development. In addition, this paper also found some of the current PLC control technology and industrial robotics applications in the field of problems, such as PLC control technology has low compatibility and the operator interface is not convenient enough, industrial robots in the existing industrial production and manufacturing technology is not enough precision, and in the production process may receive electromagnetic or noise interference and other issues. At the same time, some examples illustrate the use of PLC-related technology to solve the above problems, such as the use of soft PLC technology to improve the compatibility of the control system the convenience of the operator interface, and so on. This paper can provide new research ideas and innovative points for the two technologies in the future development and promote the further development of PLC technology in industrial robotics. © The Institution of Engineering & Technology 2024.

关键词： Programmable logic controllers

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The Hybrid-filtered fuzzy PI controller apply to the automatic tightening system 3

The Hybrid-filtered fuzzy PI controller apply to the automat...

引用

3rd international conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Wang, Shuaixin Zhang, Xiwen Wang, Yu Dong, Fangyan Faculty of Mechanical Engineering & Mechanics Ningbo University Ningbo China China Academy of Safety Science & Technology Beijing China

ISBN: (纸本)9798331528386

The tightening process is a critical component of modern intelligent manufacturing, and the system design and process control of the tightening system have a decisive impact on the efficiency and quality of this *** application of intelligent control in this field has shown great *** this study, a hybrid-filtered fuzzy PI controller for an automatic fastening system was proposed. It employs a conditional filtering mechanism to eliminate the differential explosion issue in the input of the fuzzy controller when there is a large speed deviation, while minimizing data distortion when the speed stabilizes. To test the effectiveness of this controller, a load model and the fastening system were modeled in Matlab/Simulink, which was used to test the controller. In comparison with traditional PI controllers and fuzzy PI controllers, it was found that this controller has significant advantages in terms of precision and stability in speed control. It has great potential for applications in conditions with high noise and rapidly increasing loads. However, further research and verification are needed on the mechanisms by which parameters such as filter width and threshold affect the control system, as well as their deployment effects in hardware. © 2024 IEEE.

关键词： Proportional control systems

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Distributed Formation control for Fixed-Wing UAVs with Input MRS

Distributed Formation Control for Fixed-Wing UAVs with Input...

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2024 IEEE international conference on control Science and Systems Engineering, ICCSSE 2024

作者： Jiao, Dexin Li, Xiaoting Li, Yueti Lu, Weifan Chen, Yaowen College of Engineering Shantou University Shantou China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (纸本)9798331517199

In this paper, the distributed formation tracking control problem is investigated for multiple fixed-wing unmanned aerial vehicles (UAVs) considering input magnitude and rate saturation (MRS) constraints. First, a first-order input MRS model is constructed. Next, the distributed leader state observer is designed to facilitate the acquisition of the leader information for each follower UAV. Then, by virtue of the backstepping method and the disturbance observer, the formation control law for each fixed-wing UAV is designed and the stability analysis is presented using the Lyapunov theory. Finally, a numerical example is given to verify the performance of the designed control strategy. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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