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检索条件"任意字段=3rd International Symposium on Control Engineering and Robotics, ISCER 2024"

共 616 条记录，以下是231-240 订阅

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A Position and Attitude Precise control Method of Electric-Assisted Transfer Vehicle 3

A Position and Attitude Precise Control Method of Electric-A...

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3rd international Conference on Mechatronics and Automation Technology, ICMAT 2024

作者： Xu, Yuefei Jia, Fengru Xu, Yinfei Meng, Haojie Shen, Jinggui Wang, Xiu Hu, Yueli Liu, Xuqiang Liu, Mingjie Hangzhou Power Equipment Manufacturing Co. Ltd. Hangzhou311100 China School of Automation Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781643685649

This paper presents a control method for adjusting the position of an electrical-assisted transfer vehicle in the context of substation auxiliary operation platforms. The proposed method integrates robotics, automatic control technology, and network communication technology to achieve precise attitude control and effective position adjustments. The control model is based on a two-wheel differential model, with a focus on posture adjustment strategies and dual-loop control. The paper also discusses the use of binocular vision for detecting target information and the 3D reconstruction process. The effectiveness of the proposed method is verified through a specific example, demonstrating its ability to meet error threshold requirements. © 2024 The Authors.

关键词： Binocular vision

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A Comparative Analysis of Electric Vehicles Charging-Discharging Topologies for Sustainable Energy 3

A Comparative Analysis of Electric Vehicles Charging-Dischar...

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3rd international Conference on Communication, control, and Intelligent Systems, CCIS 2024

作者： Sinha, Ashish Kumar Pushkarna, Mukesh Kumar, Prashant Gla University Institute of Engineering and Technology Department of Electrical Engineering Mathura India Dongguk University Department of Mechanical Robotics and Energy Engineering Seoul04620 Korea Republic of

ISBN: (纸本)9798331528201

Electric vehicles (EVs) have gained immense popularity in recent times owing to the decrease in conventional energy resource reserves and the concurrent threat to the environment caused from the harmful discharge of IC engine vehicles. EVs are mainly divided into the following three categories: pure electrical vehicles or battery electric vehicles, hybrid electrical vehicles, and fuel cell electrical vehicles. All these classifications have certain advantages and drawbacks associated with them. Based on the associated advantages and disadvantages, various aspects of EV performance have been scrutinized namely, design optimization, transmission performance optimization, battery management system (BMS) and charging technology to name a few. While all the abovementioned aspects affect the EV performance critically, BMS and charging technology have been the main area of concern for design engineers and researchers. Herein, two major charging topologies are prevalent, i.e. vehicle-to-grid (V2G) and grid-to-vehicle (G2V). Moreover, a third and fourth scheme of operation, namely, vehicle-to-home (V2H) and vehicle-to-vehicle (V2V) topology respectively, is also gaining importance off-late. With this view, the present manuscript aims to categorize, engulf and encapsulate the different EVs along with the existing charging technologies in EVs and BMS. This shall make the topic at hand easier to comprehend for the prospective future researchers. © 2024 IEEE.

关键词： Vehicle-to-grid

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Fault Simulation Method of UAV Flight control Sensor Based on Hardware-in-the-loop Simulation 3

Fault Simulation Method of UAV Flight Control Sensor Based o...

引用

3rd international symposium on Sensor Technology and control, ISSTC 2024

作者： Wu, Helong Sun, Lijun Cai, Mingxi Yang, Jianfeng He, Jifu China Electronic Product Reliability and Environment Testing Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology Guangzhou China Guangdong Provincial Engineering Technology Research Center of UAV Reliability and Safety Guangzhou510610 China

ISBN: (纸本)9798331541637

Hardware-in-the-loop simulation technology plays an important role in the flight performance and safety test of UAV flight control system. The hardware-in-the-loop simulation method can excavate the potential faults of the flight control system, optimize and adjust the flight control algorithm in time, and lay a foundation for ensuring the safety of outfield flight. In this paper, a hardware-in-the-loop simulation based fault injection method for UAV flight control sensor was proposed. Mathematical models and fault mechanism models of flight control sensors such as gyroscope, accelerometer and magnetometer were constructed. The UAV body model and sensor fault simulation model were established in Simulink environment to form a hardware-in-the-loop simulation system. The sensor fault injection test based on flight control hardware in the loop simulation was carried out. The test results showed that the built flight control hardware in the loop simulation system could effectively simulate the flight control sensor fault and test the flight performance of the flight control sensor under the condition of failure. © 2024 IEEE.

关键词： Hardware-in-the-loop simulation

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Sliding Mode control For Underactuated Nonlinear Mechanical Systems 3

Sliding Mode Control For Underactuated Nonlinear Mechanical ...

引用

3rd international Conference on Advanced Electrical engineering, ICAEE 2024

作者： Feddaoui, Anis Abdeldjalil, Djehaf Mohamed Bilal, Bouchelarm Youcef Islam, Djilani Kobibi Youcef, Djeriri Badji Mokhtar University Genie Electromechanique Laboratory Department of Electromechanical dept Annaba23000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Automatic Control Sidi Bel-Abbes22000 Algeria Mustapha Stambouli University Faculty of Sciences and Technology Department of Electrical Engineering Mascara29000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Electrical Engineering Sidi Bel-Abbes22000 Algeria

ISBN: (纸本)9798350349351

The Rotary Inverted Pendulum (RIP) serves as a quintessential benchmark in control theory, representing a challenging and unstable system of paramount importance. In this study, we focus on a Quanser platform to investigate the application and significance of sliding mode control in stabilizing the RIP. The importance of RIP lies in its portrayal of real-world control challenges encountered in industries ranging from manufacturing to robotics. Its inherent instability and underactuation make it an ideal testbed for advanced control strategies. Our research delves into the experimental application of sliding mode control, on the Quanser RIP platform. Through rigorous modeling, simulation, and practical implementation, we aim to demonstrate the effectiveness of this control strategy. This study contributes to the broader discourse on control systems and automation, showcasing the potential of sliding mode control in addressing complex and dynamic systems. The outcomes of our research not only advance the understanding of control theory but also have practical implications for industries where precise control and stabilization are critical. © 2024 IEEE.

关键词： Sliding mode control

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Microfluidic Lab-on-a-Chip Design and Analysis for GFAP Biomarker Detection Using Machine Learning Algorithms 3

Microfluidic Lab-on-a-Chip Design and Analysis for GFAP Biom...

引用

3rd international Conference on Communication, control, and Intelligent Systems, CCIS 2024

作者： Balaji, P. Devasena, D. Rithick, P. Karthi, T. Rishmitha, K. Roopa, R. Sri Ramakrishna Engineering College Dept. Of. Electronics and Instrumentation Engineering Tamilnadu Coimbatore India Sri Ramakrishna Engineering College Dept. of Robotics and Automation Engineering Tamilnadu Coimbatore India Kongu Engineering College Dept. of Automobile Engineering Erode India Science Arjun College of Technology Dept. of Artificial Intelligence and Data Tamilnadu Coimbatore India

ISBN: (纸本)9798331528201

The detection of Glial Fibrillary Acidic Protein (GFAP) is a crucial biomarker for diagnosing neurological conditions such as traumatic brain injuries (TBI) and astrocytoma. This paper presents the design and analysis of a novel microfluidic Lab-on-a-Chip (LoC) platform for GFAP biomarker detection. The system integrates microfluidic channels with embedded gold nanoparticle-functionalized electrochemical sensors for high-sensitivity biomarker capture. The microfluidic chip is designed using soft lithography and PDMS (Polydimethylsiloxane), allowing for precise fluid handling and minimal sample consumption. The electrochemical sensors generate voltage signals corresponding to GFAP concentration levels, which are processed using digital filtering techniques to mitigate noise and improve signal quality. For accurate biomarker quantification, machine learning algorithms, including Random Forest ,KNN and Support Vector Machine (SVM), are employed to classify sensor output data into clinically significant concentration ranges. The model is trained on both simulated and experimentally collected sensor data, achieving an accuracy of over 93 percent in distinguishing low (below 50 ng/mL) and high (above 50 ng/mL) GFAP concentrations. The combination of microfluidic precision, sensitive electrochemical detection, and data analysis enables rapid and reliable detection of GFAP , providing a scalable and portable solution for early diagnosis of brain injuries and neurodegenerative diseases. This system highlights the potential of integrating microfluidics and machine learning in next-generation point-of-care diagnostic devices. © 2024 IEEE.

关键词： Polydimethylsiloxane

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Fixed-Time control for Cooperative Target Encirclement and Tracking by Multi-UAV 3rd

Fixed-Time Control for Cooperative Target Encirclement and T...

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3rd international Conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2023

作者： Liao, Hongjin Chen, Xin Jia, Jiangbo Zhu, Guangyuan Wang, Weizhen College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jiangjun Ave. Nanjing211106 China

ISBN: (纸本)9789819721993

In the research, a new fixed-time control method is proposed for multiple unmanned aerial vehicles (multi-UAV) to address cooperative target encirclement and tracking. Initially, only the position information about the target is used in this method. Subsequently, based on an interconnected system and a fixed-time lemma, a guidance law is proposed to control all UAVs to move along a circle centered on the target and the distance between every pair of UAVs remains consistent. The fixed-time stability of the system is rigorously mathematically proved, based on which the bounds on the convergence time can be accurately derived. Finally, a simulation demonstrates the feasibility of the designed strategy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Visual SLAM-based fire extinguishing robot for energy storage power plants 3

Visual SLAM-based fire extinguishing robot for energy storag...

引用

3rd international Conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Long, Xiang Liu, Zheng Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350352658

With the increase of energy storage stations, fire accidents in lithium battery energy storage compartments occur frequently, seriously threatening the stable operation of the power system and the safety of personnel. To solve the danger of manual fire extinguishing, a visual SLAM based fire extinguishing robot for energy storage stations has been designed. In response to the environment of the energy storage station, the main structure and firefighting operation mechanism of the robot have been designed to ensure that the robot can smoothly carry out firefighting operations at the energy storage station. Explored the characteristics of lithium-ion battery fires and the laws of thermal runaway, analyzed the fire extinguishing mechanism of liquid nitrogen, and found that using liquid nitrogen as a fire extinguishing agent has a good inhibitory effect on lithium-ion battery fires. In order to achieve efficient fire extinguishing, and due to the limited liquid nitrogen capacity that robots can carry, a fast autonomous positioning and mapping (SLAM) fire extinguishing strategy for energy storage power plant fire extinguishing robots in unknown environments was designed to ensure maximum utilization of liquid nitrogen. Simulation experiments were conducted on this fire extinguishing strategy, and the results showed that it can extinguish open flames within 10 seconds, effectively suppress the spread of battery thermal runaway, and control the concentration of combustible gases in the cabin beyond the explosion limit. The fire extinguishing robot and extinguishing strategy have a significant inhibitory effect on lithium battery fires in energy storage stations. © 2024 IEEE.

关键词： SLAM robotics

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Advanced robotics: Exploring AI and IoT in Multi-control Systems 3

Advanced Robotics: Exploring AI and IoT in Multi-Control Sys...

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3rd IEEE international Conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Nazeer, Rabiya Himanshu Lovely Professional University Department of Computer Science and Engineering Punjab 144411 India

ISBN: (纸本)9798350354348

The combination of electromyography (EMG) and electroencephalography (EEG) sensors with Internet of Things (IoT) enabled robots has marked a turning point in human-robot interaction. This chapter examines the groundbreaking potential of this integration and shows how contemporary technology and physiological signals are convergent. Results indicate improved sensory integration, allowing robots to interpret environmental cues and human intention with unprecedented precision. Although real-time feedback techniques increase efficiency and safety, complex signal processing and ethical challenges persist. Still, research toward a future where robotics, IoT, EMG, and EEG all work together to revolutionize human-machine collaboration in various circumstances is stimulated by the promise of personalized prostheses, easily navigable assistive devices, and extensible systems. Interaction between humans and machines is being transformed by robots because EMG and EEG sensors are integrated into IoT-connected robotic systems, and they can comprehend physical orders through EMG signals and read cognitive intent through EEG signals. Scholars are working to enhance signal processing algorithms to lower noise and increase the accuracy and reliability of brain signal interpretation as they become more aware of the possible uses of IoT-integrated EMG and EEG sensors in robotics. © 2024 IEEE.

关键词： Human robot interaction

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Zonotope-based fault estimation for Lipschitz nonlinear systems 3

Zonotope-based fault estimation for Lipschitz nonlinear syst...

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2024 3rd international Conference on Aerospace and control engineering, ICoACE 2024

作者： Ma, Siyuan Zhang, Wei Jiang, Qiang Gao, Sheng School of Automatic and Electrical Engineering Shenyang Ligong University Shenyang110158 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai200120 China

An estimation of fault intervals using a T-N-L structured observer is suggested for Lipschitz nonlinear systems. By augmenting state vectors, the augmentation system and its observer are established, enabling the observer to concurrently estimate fault and system states. The L∞ performance is applied to enhance the resilience of the fault interval estimation to external disturbances and unanticipated inputs. An adequate requirement for the observer design is also presented. The interval estimation of states and faults is ultimately created by using a zonotope. The proposed method exhibits advantages and feasibility when compared to existing simulation techniques. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Nonlinear systems

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Research and Design of Energy-saving Vehicle Operation Based on Supercapacitor 3

Research and Design of Energy-saving Vehicle Operation Based...

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3rd international symposium on Intelligent robotics and Systems, ISoIRS 2023

作者： Zhu, Lihong Wang, Xiaoyu Liu, Jing Zhu, Yupei Fan, Shixing Southwestern Institute of Physics The Engineering &technical College Chengdu University of Technology Chengdu614000 China The Engineering &technical College Chengdu University of Technology Leshan614000 China

ISBN: (纸本)9798350339963

In order to improve the energy utilization efficiency of electric vehicles, an energy-saving operation mode of electric vehicles with power battery and super capacitor is proposed. Based on the establishment of the power battery model and the super capacitor model, the power distribution of the hybrid battery system was carried out by using the energy control strategy of bidirectional DC/DC converter combined fuzzy PID, so as to improve the energy utilization efficiency. The results show that under SCO3 condition and ADVISOR simulation, the power absorbed by the super capacitor in the fuzzy PID control strategy obtained in this paper is more than that by the logic threshold control strategy, and the current is lower than that under the logic threshold control strategy. It is concluded that the hybrid power supply system constructed in this paper can improve energy consumption. © 2023 IEEE.

关键词： Supercapacitor

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