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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

共 3924 条记录，以下是1641-1650 订阅

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A Cooperative Jamming Scheme for Secure MUAS control at Edge Using Kriging-Based REM 3rd

A Cooperative Jamming Scheme for Secure MUAS Control at Ed...

引用

3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Chen, Yichao Zhou, Xin Huang, Liang Liu, Guanbang Zhang, Zhen Cao, Xianghui Nanjing Research Institute of Electronic Engineering Nanjing210023 China Southeast University School of Automation Nanjing210096 China

ISBN: (纸本)9789819710829

Multiple unmanned aerial vehicles (UAVs) are growing popular in civil and military scenarios, especially for their significant contributions to mission performance under high level of autonomy (LoA). However, autonomous cooperation at edge demands stronger security to the flying ad hoc network (FANET) that supports control-related data transmission among UAVs. In this paper, we investigate the confidentiality of data transmission in FANET from a physical layer security (PLS) perspective, and introduce cooperative jamming (CJ) against possible eavesdropping attacks. To estimate CJ efficiency in a partially known wireless environment, we design a self-detection based approach to evaluate the wireless conditions by using the Ordinary Kriging method to integrate limited channel state information. Further, we propose a CJ control scheme to balance the trade-off between security level and wireless energy consumption. By simulations, we evaluate the proposed schemes under different wireless conditions and compare them with other possible solutions. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Antennas

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Research on motor thermal control in hybrid vehicles 3

Research on motor thermal control in hybrid vehicles

引用

3rd international conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024

作者： Jing, Junchao Zhao, Fucheng Chen, Jialu Liu, Yiqiang Dai, Zhengxing Liu, Shuiming Ningbo Geely Royal Engine Components Co. Ltd. Zhejiang Ningbo China

ISBN: (纸本)9781510681804

In order to address the issue of motor temperature in hybrid transmission vehicles during uphill acceleration with a heavy load, we conducted a comprehensive analysis on the impact of acceleration on motor temperature rise. Firstly, this study investigates the causes of excessive heat generation in the motor under high torque load, as well as the primary factors contributing to heat production. Secondly, we implemented various calibration strategies to mitigate overheating issues during high torque acceleration. Finally, optimized calibration and real-world vehicle testing were performed for comparison. The test results demonstrate that this calibration method effectively resolves the problem of excessive thermal load during heavy load uphill conditions while also enhancing drivability. © 2024 SPIE.

关键词： Hybrid vehicles

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Path Planning and Composite Attitude control for a Satellite with 2-DOF Large-Inertia Turntable 1

引用

3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Yin, Junxiong Zhu, He Zhang, Hongxing Zhao, Teng Zhou, Wei Shanghai Key Laboratory of Space Intelligent Control Technology Shanghai201109 China Shanghai Aerospace Control Technology Institute Shanghai201109 China

ISBN: (数字)9789819711079

ISBN: (纸本)9789819711062

Aiming at the great disturbance to the satellite attitude caused by the rotation of the two-degree-of-freedom (2-DOF) large-inertia turntable, based on the trajectory planning of the turntable scanning motion and the coupling dynamic modeling of the turntable and the satellite, a feedforward and feedback composite controller is designed. Using Archimedes spiral to plan the trajectory of the sub-satellite point that the turntable load points to can make the turntable’s rotation angle and speed change smoothly, so as to reduce the disturbance of the turntable motion to the satellite attitude, and improve the time uniformity of the load field of view to cover the ground target. According to the accurate dynamic model of the 2-DOF turntable, the disturbance torque caused by the turntable to the satellite is calculated as the feed-forward control torque in real time. The feedback control torque is calculated according to the satellite attitude deviation and angular velocity deviation. The simulation results verify the effectiveness of the composite controller, which effectively reduces the adverse impact of turntable motion, and the high-precision and high-stability attitude control is achieved. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Attitude control

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A Data-Driven Linear Model for Flexible Vehicles Based on Koopman Operator 1

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Zhou, Min Wang, Haoyu Guo, Zongyi Jiang, Ruimin Institute of Precision Guidance and Control Northwestern Polytechnical University Xi’an710072 China

ISBN: (数字)9789819711079

ISBN: (纸本)9789819711062

This paper is concerned with the linear modeling method for a flexible air-breathing hypersonic vehicle. It is to develop a data-driven linear modeling approach to capture nonlinear properties of the FAHV based on the Koopman operator. The nonlinear dynamics of the FAHV is lifted into a lifted function space, and its evolution is then approximated in a finite-dimensional linear form under the frame of Extended Dynamic Mode Decomposition. In this linear model, the FAHV’s immeasurable flexibility is implicit in the lifted states mapped from measurable rigid body states. Numerical simulations verify the proposed linear model has high accuracy in predicting FAHVs’ dynamics. Particularly, in description of the flexibility effect, it exhibits a performance superior to existing models such as the nonlinear rigid model and the local linearized model. It is promise to apply various classic methods in control of FAHVs with this linear state space model in the basis. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Hypersonic vehicles

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Helmet wearing detection based on YOLOv5 3

Helmet wearing detection based on YOLOv5

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3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wu, Chao Wang, De-Yong Shi, Wen-Xi Fang, Jian Zhao, Xue-Yi Fu, Yan-Yun School of Information Science and Engineering Xinjiang University Urumqi830000 China XinJiang Lianhai INA-INT Information Technology Co. Ltd. Urumqi830000 China Key Laboratory of Big Data of Xinjiang Social Security Risk Prevention and Control Urumqi830000 China Beijing Academy of Science and Technology Beijing100035 China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

Complex environments, such as dense personnel and background interference, affect the detection accuracy of whether personnel wear helmets. To solve this problem, a new detection algorithm for helmets based on YOLOv5 is studied in this paper. Firstly, RepVGGblock is used to replace the common convolution in the network to effectively utilize the computing power of GPU. Secondly, the efficient channel attention mechanism is incorporated into the C3 module of the backbone network to enhance the feature identification ability of the backbone network for the hard hat. Then, the boundary box regression function is changed to SIoU to redefine the distance loss and improve the regression accuracy. Finally, the detection performance of multi-scale targets is improved by adding detection layers. The test results on the self-made safety helmet data set show that the average accuracy of the improved YOLOv5 model reaches 94.6%, which is 4.1% higher than that of the original model, and can meet the requirements of target detection. © 2023 SPIE.

关键词： Computing power

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Research on simulation model of high precision ear pressure comfort of car door closing based on user experience 3

Research on simulation model of high precision ear pressure ...

引用

3rd international conference on Mechanical Design and Simulation, MDS 2023

作者： Su, Lili Liu, Yingjie Xu, Zengman Qiu, Wenjie Li, Hongliang Zhang, Zhiguo Automotive Engineering Research Institute Co. Ltd Tianjin China FAW Research and Development Institute State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control Changchun China

ISBN: (纸本)9781510664890

The door system is the system most frequently used by consumers. With the improvement of vehicle manufacturing accuracy and vehicle sealing level, the problem of ear pressure in the passenger compartment becomes prominent at the moment of closing the door. This paper analyses the influencing factors of human ear comfort. Based on STAR CCM+ overlapping grid technology, an analysis model of door closing ear pressure is established. The simulation analysis results show that the effective leakage area of airflow channel and relief valve is the main influencing factor of door closing ear pressure. The real vehicle test data shows that the simulation accuracy of this model can reach 96.81%, which can effectively analyses and prevent door closing ear pressure problems. © 2023 SPIE.

关键词： Pressure relief valves

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A Multi-Layer Long Short-Term Memory Neural Network on Battery State-of-Health Estimation with Transfer Learning 3

A Multi-Layer Long Short-Term Memory Neural Network on Batte...

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3rd IEEE international conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023

作者： Tian, Jilun Zhang, Jiusi Jiang, Yuchen Luo, Hao Huang, Congsheng Chow, Mo-Yuen Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China National Taipei University of Technology Department of Electrical Engineering Taipei10608 Taiwan North Carolina State University Department of Electrical and Computer Engineering RaleighNC27606 United States

ISBN: (纸本)9798350324754

Due to the important part of batteries in industrial systems, its safety analysis has causes widespread attention from researchers, and its effective maintenance decision-making is needed. Data-driven state-of-health (SOH) estimation can provide useful information by monitoring historical data during the aging process, but it can be failed in the cross-domain scenarios due to the different data distributions. To tackle this issue, we propose a long short-term memory (LSTM) neural network with an additional fully connected dense as a basic predictor, and apply the pretrain and fine-tuning training algorithm to realize the high-performance prediction. By validated in two real-world datasets, we find that blindly expanding the training set may have a negative impact on model accuracy, and the proposed TL-LSTM can achieve a great performance under the cross-domain tasks. © 2023 IEEE.

关键词： Long short-term memory

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Adaptive Koopman-Based Models for Holistic controller and Observer Design 3

Adaptive Koopman-Based Models for Holistic Controller and Ob...

引用

3rd Modeling, Estimation and control conference (MECC)

作者： Junker, Annika Pape, Keno Timmermann, Julia Traechtler, Ansgar Paderborn Univ Heinz Nixdorf Inst Paderborn Germany

ISBN: (纸本)9781713872344

We present a method to obtain a data-driven Koopman operator-based model that adapts itself during operation and can be straightforwardly used for the controller and observer design. The adaptive model is able to accurately describe different state-space regions and additionally consider unpredictable system changes that occur during operation. Furthermore, we show that this adaptive model is applicable to state-space control, which requires complete knowledge of the state vector. For changing system dynamics, the state observer therefore also needs to have the ability to adapt. To the best of our knowledge, there have been no approaches presently available that holistically use an adaptive Koopman-based plant model for the state-space design of both the controller and observer. We demonstrate our method on a test rig: controller and observer adequately adapt during operation, so that outstanding control performance is achieved even in the case of strong occuring systems changes. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： data-based control adaptive control time-varying systems predictive control

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RESEARCH ON VEHICLE SPEED control METHOD BASED ON SPATIOTEMPORAL DATA AND VEHICLE-ROAD-CLOUD COOPERATION 3

RESEARCH ON VEHICLE SPEED CONTROL METHOD BASED ON SPATIOTEMP...

引用

3rd international conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2023

作者： Liu, Weiguo Xiang, Zhiyu Zhang, Ke Li, Zhenxian Wang, Zixu School of Information and Electronic Engineering Zhejiang University Beijing China National Intelligent Connected Vehicle Innovation Center Beijing China

ISBN: (纸本)9781839539954

Predictive Cruise control (PCC) is an optimal control method for managing vehicle speed and gears, particularly suitable for Heavy-Duty Vehicles (HDV). Traditional PCC systems can only achieve suboptimal vehicle speed planning within a short prediction range. The development of intelligent connected vehicles based on vehicle-to-vehicle and vehicle-to-infrastructure communication provides new directions for optimizing PCC systems. This paper proposes a spatiotemporal data-driven framework for Vehicle-Road-Cloud Cooperation vehicle speed control, achieving optimal control of vehicle speed. To address limitations such as limited perception range of individual vehicles and insufficient road traffic information, a spatiotemporal data fusion network model is introduced based on the aforementioned framework. The simulation experiment results demonstrate that within a 5-second speed prediction range, the model proposed in this paper consistently achieves the lowest Mean Absolute Error (MAE) among various validation paths compared to other models. The error range is between 2.19 and 4.10 km/h. Furthermore, the model accurately predicts the acceleration or deceleration trends of the speed curve. © The Institution of engineering & Technology 2023.

关键词： Optimal control systems

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ACC System Design and Simulation Verification of Intelligent Vehicle 3rd

ACC System Design and Simulation Verification of Intelligent...

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3rd international conference on Information control, Electrical engineering, and Rail Transit, ICEERT 2023

作者： Zhou, Yiyang Feng, Jialiang Liu, Yiqun School of Automotive Engineering Harbin Institute of Technology Weihai264209 China Yangtze River Delta HIT Robot Technology Research Institute Wuhu241007 China

ISBN: (纸本)9789819788903

The Adaptive Cruise control system can assist the driver to adjust the size of the vehicle throttle opening and the pressure of the brake pedal to achieve the vehicle's following cruise. In this paper, the hierarchical control scheme is selected in the design of ACC system. The upper control system is based on the vehicle safety distance model built by the headway strategy to obtain the expected safety distance. Then, through the MPC algorithm, the discrete state space model of longitudinal following is established, and the system performance index and constraints are established. The problem is transformed into a constrained quadratic programming problem, and the expected acceleration of the vehicle is calculated. The lower control system constructs the vehicle longitudinal dynamics model, builds the engine reverse power model and the inverse model of the braking system, and determines the driving and braking conversion logic to realize the acceleration and deceleration of the vehicle. After that, using Carsim and MATLAB/Simulink for joint simulation verification, it can be concluded that the designed ACC system can realize the functions of following cruise. It can complete acceleration and deceleration to the target speed in a short time, and ensure that the acceleration is small to meet the comfort requirements, reduce traffic accidents, and improve vehicle driving safety and comfort. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adaptive cruise control

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