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检索条件"任意字段=3rd International Conference on Intelligent Robotics and Control Engineering, IRCE 2020"

共 1399 条记录，以下是81-90 订阅

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Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation 3

Development of a Low-cost Data Glove using Flex Sensors for ...

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3rd international Symposium on robotics and intelligent Manufacturing Technology, ISRIMT 2021

作者： Zhu, Shuo Stuttaford-Fowler, Angus Fahmy, Ashraf Li, Chunxu Sienz, Johann Plymouth University Center for Robotics and Neural Systems PL48AA United Kingdom Swansea University ASTUTE 2020 in Future Manufacturing Research Institute College of Engineering Swansea United Kingdom

ISBN: (纸本)9781665437189

This paper focuses on the control of a simulated robot hand using a data glove, which gathers information from resistors that measure the flexion of the user's fingers. The data glove used was a commercially available controller, using 5 flex sensors on each finger to collect data. Arduino Uno R3 microcontroller board was used to power the data glove which is based on the ATmega328P microcontroller. CoppeliaSim was used as a platform for simulation, with a compatible model for the hand found within the software's community. C++ is used within both the CoppeliaSim and Arduino environments, with a micro-USB connecting the two. This paper allows for real time control with the proposed data glove, which transmit the data in the form of a string of 5 different values. In the future, many adjustments and modifications could be made to allow for more precise control and eventually more degrees of freedom. A video demo for the proposed design can be seen from: Http://***/w-GqzigfkXY. © 2021 IEEE.

关键词： Robotic arms

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Proceedings of 2024 3rd international Symposium on control engineering and robotics, ISCER 2024

Proceedings of 2024 3rd International Symposium on Control E...

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3rd international Symposium on control engineering and robotics, ISCER 2024

ISBN: (纸本)9798400709951

The proceedings contain 93 papers. The topics discussed include: designing of an intelligent robotic system for disassembling screw connections of electric vehicle batteries based on the improved YOLOV5 algorithm;design of an automated welding system for aluminum alloy core components based on industrial robots;intelligent car control system based on vision tracking technology;research on measurement and positioning system for automatic loading robot;design study of intelligent voice control system for bionic robots;optimization of MR damper model based on improved genetic neural network algorithm;a SLAM system based on an enhanced orb algorithm using adaptive threshold and improved descriptor;video stitching method utilizing mesh segmentation;and lightweight facial super-resolution reconstruction of blueprint separable residual networks.

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Research on Voltage control of P2.5 Hybrid System 3

Research on Voltage Control of P2.5 Hybrid System

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3rd international conference on robotics, control and Automation engineering (RCAE)

作者： Jing, Junchao Liu, Yiqiang Huang, Weishan Ningbo Geely Royal Engine Components Co Ltd Ningbo Zhejiang Peoples R China

ISBN: (纸本)9781728186382

To uphold a steady high voltage supply when the contactors open due to a battery fault, the voltage control strategy of the P2.5 hybrid system is analyzed to make sure that the DCDC is maintaining power to the 12V side. The system involved in voltage control is complex, which needs the coordination of the main controllers (BMS, VCU, MCU, ECU). After the coordination, the motor mode will shift from torque control to the voltage control with a steady high voltage supply and the electric machine is only used as a generator in voltage control mode. To verify the coordination and the influence of motor speed and 12V load change after the battery fault, the motor bench and real car with 15T miller engine are carried out. The results show that after the battery fault occurs, the P2.5 hybrid system coordinate smoothly and the car can still run at low speed with stable 12V power supply. As an operation mode after battery fault like overheat or isolation fault, the safety and robustness are dramatically enhanced through the voltage control method.

关键词： voltage control coordination p2.5 hybrid system bench test

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Anti-disturbance control of Vertical Pitch Attitude of Underwater Spherical Robot 3

Anti-disturbance Control of Vertical Pitch Attitude of Under...

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3rd international conference on robotics, control and Automation engineering (RCAE)

作者： Jiang, Dongjie Li, Yansheng Chongqing Univ Posts & Telecommun Sch Adv Mfg Engn Chongqing Peoples R China

ISBN: (纸本)9781728186382

Spherical underwater robots play an important role in underwater image acquisition, and are widely used in military and scientific investigations. The spherical underwater robot needs to perform heave motion when working in water, and pitch attitude adjustment is the key. When the spherical underwater robot adjusts its underwater pitch attitude, due to the influence of the internal pendulum structure and water flow, there is a phenomenon that the pitch angle fluctuates. This article starts with the structure, conducts kinematics and dynamics analysis, establishes the robot dynamics model based on Newton's Euler formula, compared with the traditional PM control, the anti-interference ability is not strong, and then designs the exponential approach law sliding mode control The robot achieves stable control of the robot's pitch attitude. Experiments show that the exponential approach law sliding mode control method can effectively control the robot's pitch angle in complex underwater environments.

关键词： spherical robot underwater robot sliding mode control dynamic analysis MATLAB simulation

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Novel intelligent Module and Business Model for Smart Machinery 3

Novel Intelligent Module and Business Model for Smart Machin...

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3rd international conference on control and robotics engineering (ICCRE)

作者： Lee, Jeng-Dao Hsieh, Chia-Ying Chen, Han-, I Hsieh, Shu-Lin Jhao, Ying-Jie Liao, I-Kai Natl Formosa Univ Automat Engn Dept Huwei Township Yunlin Taiwan Chumpower Machinery Corp Taichung Taiwan

ISBN: (纸本)9781538666630

Purchasing machine is a large spending for many companies;however maintenance is not easy if purchasing a used machine. If the machine can be rented, it can save a lot of costs for the company. Moreover, it needs to set many parameters in processing machine when changing the tool (or mold). Therefore, smart parameter setting can set up the machine automatic and quickly when changing tool (or mold). The object of this study is integrating GPS and RFID module to develop novel intelligent modules that could be installed on the machine to be a smart machine. The machine can be tracked by the GPS module if it rented to the company. Besides, building a database and auto-setting the parameters in processing machine for different tools (or molds) by the RFID tag on the tool (or mold). Finally, this experiment had actually been implemented on PET blow molding machine in Chumpower Company.

关键词： RFID GPS database smart machine machine rental

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Bagging of Xgboost Classifiers with Random Under-sampling and Tomek Link for Noisy Label-imbalanced Data 3

Bagging of Xgboost Classifiers with Random Under-sampling an...

引用

3rd international conference on Automation, control and robotics engineering (CACRE)

作者： Luo Ruisen Dian Songyi Wang Chen Cheng Peng Tang Zuodong Yu YanMei Wang Shixiong Sichuan Univ Coll Elect Engn & Informat Technol 24 South Sect 1One Ring Rd Chengdu 610065 Sichuan Peoples R China UCL Dept Comp Sci Gower St London WC1E 6BT England Northwestern Polytech Univ Sch Elect & Informat 1 Dongxiang Rd Xian 710129 Shaanxi Peoples R China

Fitting label-imbalanced data with high level of noise is one of the major challenges in learning-based intelligent system design. In this paper, for the two-class problem, we propose a bagging-based algorithm with Xgboost classifier (Gradient Boosting Machine) and under-sampling approaches to overcome the challenge. To avoid model misspecification caused by imbalanced data, random sampling with replacement is employed to obtain several balanced training sets;and to mitigate the problem of misleading information produced by noise, Tomek Link method is introduced to eliminate the cross-class overlapped instances, which are the primal sources of noise. And to obtain robust individual learners, we utilize Xgboost, a novel Gradient Boosting Machine-based classifier with convenient parameter tuning interface, to fit each component of the bagging ensemble. The performance of the proposed method is tested with Mandarin radio records (MFCC features) with the task of keywords recognition, and experimental results show that the new method could outperform single Xgboost classifier, verified the rationality and effectiveness of the bagging scheme. The method proposed in the paper could offer a novel solution to the challenge of noisy imbalanced data classification, and the implementation of Xgboost in this area could also serve as an innovative work.

关键词： intelligent systems

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Platoon Stability for Cooperative Adaptive Cruise control Systems with Communication Delay 3

Platoon Stability for Cooperative Adaptive Cruise Control Sy...

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3rd international conference on robotics, Automation and intelligent control, ICRAIC 2023

作者： Duan, Chunsun Yu, Weiwei Han, Shiyuan Fan, Yuling Unviersity of Jinan School of Information Sciences and Engineering Jinan China Shandong Big Data Center Jinan China University of Jinan Quancheng Laboratory School of Information Science and Engineering Jinan China

ISBN: (纸本)9798350360813

The platoon stability problem of Cooperative Adaptive Cruise control (CACC) system with wireless network communication delay is discussed in this paper. From the unidirectional strong coupling characteristics standpoint, the longitudinal system model problem for platoon vehicles equipped with CACC functionality is formulated as the constraints of large-scale discrete interconnected systems with communication delay and correlation properties, in which each vehicle can be set as a control center. After that, by using the partial decomposition method, a large scale systems with strong coupling is divided into the subsystems with unidirectional decoupling. Thus the stability of CACC system for platoon vehicles under communication delay is proved, and the upper limit of communication delay of the platoon is obtained based on Lyapunov function and linear matrix inequality. Finally, simulation analysis demonstrate that the feasibility of the proposed stability results of CACC system with communication delay and vehicle correlation characteristics. © 2023 IEEE.

关键词： Lyapunov functions

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Integrated control system construction for electromagnetic system based on Lab VIEW 3

Integrated control system construction for electromagnetic s...

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3rd international Symposium on robotics and intelligent Manufacturing Technology, ISRIMT 2021

作者： Huan, Zhijie Wang, Jiamin Ma, Weicheng Zhang, Zhemin Xiamen University of Technology School of Electrical Engineering and Automation Xiamen China

ISBN: (纸本)9781665437189

The electromagnetic system is driven by multiple programmable power supplies manipulating the micro-robot. Robot movement is observed and analyzed through CCD camera in real time. Thus, the driven force could be adjusted accordingly. An integrated system based on LabViewwas proposed in this paper, combining the visual feedback system and electromagnetic coils system, which realizes the analysis of robot motion state and the real-time control of the programmable power supplies. Experiment on the linear motion of magnetic microbead is constructed for pretest and preliminary calibration. Furthermore, PID control strategy was used for driving the microbead moving along a circular path. The integrated control system simplifies the operation of the electromagnetic driven system and provides a basic platform for executing more precise control algorithms subsequently. © 2021 IEEE.

关键词： Real time control

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Root Cause Analysis of SRV Oscillation during Gas Turbine Start-up Acceleration 3

Root Cause Analysis of SRV Oscillation during Gas Turbine St...

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IEEE 3rd international conference on Mechatronics, robotics and Automation (ICMRA)

作者： Tian Xin Wang Jianjun Xu Ning HuaDian Elect Power Res Inst Co Ltd Steam Turbine & Gas Turbine Technol Dept Hangzhou Peoples R China JiangSu HuaDian QiShuyan GTCC Co Ltd Off Deputy Gen Manager Changzhou Jiangsu Peoples R China HuaDian Elect Power Res Inst Co Ltd Planning & Dev Dept Hangzhou Peoples R China

ISBN: (数字)9781728190327

ISBN: (纸本)9781728190327

Under the background of the continuous improvement of gas turbine manufacturing localization, some gas turbine components deviate from the original design value, but the control parameters are not adjusted accordingly, which leads to the phenomenon of continuous vibration of gas turbine fuel valve in the process of speed-up. Basing on algorithm of typical start-up processing of 9E-DLN (Dry Low NOx) gas turbine, FSR (Fuel Stroke Reference) calculation criterion is studied according to the control method of GE Company. Through the establishment of gas fuel valve transfer function control model, the response of fuel system will be changed as control parameters vary. Finally, simulation results are provided to optimize the control parameters and provide some suggestions for the optimization of the control parameters.

关键词： gas turbine gas control valve control parameters fuel stroke reference simulation

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Mutual Q-learning 3

Mutual Q-learning

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3rd international conference on control and Robots (ICCR)

作者： Reid, Cameron Mukhopadhyay, Snehasis Indiana Univ Purdue Univ Comp & Informat Sci Indianapolis IN 46202 USA

ISBN: (纸本)9781728175621

Mutual learning is an emerging technique for improving performance in machine learning models by allowing functions to learn from each other. In this paper, we present an updated version of Q-learning, improved with the application of mutual learning techniques. We apply this algorithm to a traditional reinforcement learning control problem and compare our performance with that of a standard Q-learning approach. We show that these approaches lead to a significant improvement in performance.

关键词： mutual learning reinforcement Q-learning control tasks

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