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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Kang, Sung-Ho Lee, Hyun-Jun Woo, Tae-Gyeom You, Chang-Seok Lim, Sang-Hak Yoon, Young-Doo Hanyang University Department of Automotive Engineering Automotive-Computer Convergence Korea Republic of Hanyang University Department of Automotive Engineering Korea Republic of Hyundai Motor Company Fuel Cell System Control Development Team1 Korea Republic of

ISBN: (纸本)9798350351330

This paper discusses the implementation of time delays in ultra-high-speed applications. Sensorless controls are used to estimate the rotor speed and angle. In model-based sensorless control, the voltage and current signals are used for angle estimation as an input of the observer. And there is a time delay when calculating these signals. Especially in the high-speed operating range, these time delays degrade in sensorless control performance. This paper proposes a method to compensate for these time delays, improving accurate angle estimation. The proposed time delay implementation method has been validated through simulations and experiments using a surface-mounted permanent magnet(SPM) motor for high-speed air compressor of fuel-cell systems. © 2024 IEEE.

关键词： Time delay

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A generative deep learning framework for inverse design of compositionally complex bulk metallic glasses

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npj Computational Materials 2023年第1期9卷 2196-2203页

作者： Ziqing Zhou Yinghui Shang Xiaodi Liu Yong Yang Department of Mechanical Engineering College of EngineeringCity University of Hong KongKowloon TongKowloonHong KongChina City University of Hong Kong(Dongguan) 523000 DongguanChina College of Mechatronics and Control Engineering Shenzhen University518060 ShenzhenChina Department of Materials Science and Engineering College of EngineeringCity University of Hong KongKowloon TongKowloonHong KongChina Department of Advanced Design and System Engineering College of EngineeringCity University of Hong KongKowloon TongKowloonHong KongChina

The design of bulk metallic glasses(BMGs)via machine learning(ML)has been a topic of active research ***,the prior ML models were mostly built upon supervised learning algorithms with human inputs to navigate the high dimensional compositional space,which becomes inefficient with the increasing compositional complexity in ***,we develop a generative deep-learning framework to directly generate compositionally complex BMGs,such as high entropy *** framework is built on the unsupervised Generative Adversarial Network(GAN)algorithm for data generation and the supervised Boosted Trees algorithm for data *** studied systematically the confounding effect of various data descriptors and the literature data on the effectiveness of our framework both numerically and *** importantly,we demonstrate that our generative deep learning framework is capable of producing composition-property mappings,therefore paving the way for the inverse design of BMGs.

关键词： inverse metallic entropy

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Modeling Method of Coaxial Cable Transmission Characteristics Based on Fourier Decomposition

Modeling Method of Coaxial Cable Transmission Characteristic...

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Electrical, Automation and Computer engineering (ICEACE), International Conference on

作者： Hao Li Ziyuan Zhan Zhizhuo Zhang Zhiming Yang Liang Bao Mouxun Sun Department of System Engineering Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

At present, in the fields of mobile communication, aerospace and et al., the signal transmission quality problems caused by the structural damage of the coaxial cable have become increasingly prominent, and the fault diagnosis methods for the coaxial cable have also received extensive attention in the industrial field. However, most of the commonly used method, such as the numerical modeling-based methods only consider the effect of signal reflection and transmission delays, but the effect of signal attenuation is not discussed, which in turn undermine the effect of cable diagnosis method. In this regard, this paper proposes a method for analyzing the attenuation characteristics of coaxial cables based on Fourier decomposition. First, the attenuation characteristics of the coaxial cable on fixed frequency is measured by the vector network analysis. Then, the transmission attenuation for continuous frequency is modeled using the Support Vector Regression. Next, the arbitrary input signal is decomposed by Fourier Transform and the attenuation of the coaxial cable when any signal is input is finally established. This paper also carried out the pulse attenuation measurement experiment based on the hardware platform, and compared the measured results with the simulation results, which verified the effectiveness of the proposed method.

关键词： Support vector machines Analytical models Coaxial cables Simulation Network analyzers Attenuation measurement Attenuation Vectors Reflection Frequency measurement

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Initial Investigation of Online control system for Selective Laser Melting Process: Multi-Layer Level

Initial Investigation of Online Control System for Selective...

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UKACC International Conference on control (control)

作者： Taha Al-Saadi J. Anthony Rossiter George Panoutsos Department of Automatic Control and System Engineering University of Sheffield Mapping Street UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Selective Laser Melting (SLM), an additive manufacturing process, has attracted significant attention from academia and industry over the past two decades. SLM is a productive technique for creating complex industrial components and tools with fewer stages, resulting in resource conservation in contrast to conventional manufacturing methods. Nonetheless, the current platforms employed in SLM metal part production lack the efficient utilisation of an online closed-loop system. The literature showed a significant place for utilising advanced control systems to improve overall performance. Such enhancement will enable the process to be used to fabricate more sophisticated parts. Introducing an online control system could also empower part production with better internal microstructure characteristics. This research reports an initial investigation of applying a closed-loop system to reduce the effect of heat accumulation while building a multilayer object, thus improving the system. The controller changes the laser input in the track and considers the temperature residuals for the completed layers. The simulation results presented a significant improvement in disturbance rejection and better control of the melt-pool characteristics.

关键词： Temperature systematics Lasers Process control Metals Production Nonhomogeneous media

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Inter-Agent Collision Avoidance for Decentralized 3D Fixed-Wing Flocking 10

Inter-Agent Collision Avoidance for Decentralized 3D Fixed-W...

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10th Indian control Conference, ICC 2024

作者： Gupta, Archit Tak, Ajay Kumar, Shashi Ranjan Vachhani, Leena The Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India The Department of Aerospace Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India The System & Control Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India

ISBN: (纸本)9798331517212

UAV swarms have gained prominence due to their reliability, agility, and cooperative capabilities. This paper addresses the challenges of devising algorithms for fixed-wing UAVs posed by non-holonomic kinematics and actuator constraints. While existing works explored optimal control, artificial potential fields, and biologically inspired methods, these often overlook 3-dimensional non-holonomic constraints and actuator saturation. This work contributes to a decentralized 3D fixed-wing flocking algorithm that ensures inter-agent collision avoidance and effective flock formation. Moreover, using a leader-follower model, the agents track a virtual leader while communicating only with neighbors, keeping the motion constraints of fixed-wings. We establish safe initial conditions to guarantee collision avoidance. Numerical simulations validate the proposed algorithm’s robustness, demonstrating its effectiveness in solving the flocking problem for non-holonomic fixed-wing agents and advancing UAV swarm coordination. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Research on the Method of Remaining Useful Life Prediction of Lithium-Ion Battery Based on LSTM

Research on the Method of Remaining Useful Life Prediction o...

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Electrical, Automation and Computer engineering (ICEACE), International Conference on

作者： Shenhang Wang Junjie Wang Gang Xiang Ruishi Lin Yu Peng Zhiming Yang Department of System Engineering Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

Lithium-ion batteries are prone to capacity degradation during use, leading to a decline in their reliability and potentially causing catastrophic failures. This necessitates the study of advanced methods for estimating the lifespan of lithium-ion batteries. To address this need, this paper conducts research in three areas: the extraction of degradation features, the construction of health factors, and the development of predictive models, proposing a comprehensive framework for estimating the remaining useful life of lithium-ion batteries. Firstly, the general trends of external feature parameters as a function of cycling are observed to identify the features that indicate battery degradation. Next, the relationship between these features and battery capacity is determined using Grey Relation Analysis, allowing for the construction of an indirect health factor. Finally, a data-driven prediction method is employed to construct a predictive network model using Long Short-Term Memory networks, with the health factor used for training to accurately predict the health state of the lithium-ion battery. The effectiveness of the proposed remaining life prediction method is validated using the NASA Battery Set dataset from NASA Ames Research Center.

关键词： Lithium-ion batteries Degradation Training Accuracy Noise NASA Predictive models Feature extraction Market research Long short term memory

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Towards Efficient Path Finding and Moving Stability-Focused Trajectory Planning for Mobile Robots

Towards Efficient Path Finding and Moving Stability-Focused ...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Hou, Muyang Lei, Zhenya Hu, Haidong Wang, Zhong Wang, Yong Xie, Le Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Beijing Institute of Control Engineering Beijing100190 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

Nowadays, mobile robots play an important role in a variety of service scenarios. They need to plan and track trajectories to accomplish tasks such as delivery or guided tours. In such tasks, there are two remaining challenges: on one hand, the time and memory consumption of present path planners are still significant;on the other hand, service robots, which have a higher center of gravity, demand greater moving stability than that of current trajectory planners provide. To address these two challenges. Firstly, we propose a safety boundary first A∗ which fully utilizes environmental obstacle information to create a safety boundary and searches in it to quickly find an initial path. Secondly, we formulate the trajectory optimization problem as a nonlinear optimization problem, where the smoothness, safety, feasibility, and moving stability of the robot are taken into account. Furthermore, to constrain the robot's lateral acceleration, we design a time allocation algorithm based on non-uniform B-spline, enhancing the quality of the resulting trajectory. Simulations and real-world experiments demonstrate that our algorithms significantly improve path search efficiency, enhance moving stability, reduce the difficulty of tracking, and improve the quality of task completion. © 2024 IEEE.

关键词： Trajectories

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Automatic Drawbridge Scheduling by Integrating Highway and Waterway Traffic Flow Information

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IFAC-PapersOnLine 2024年第10期58卷 290-295页

作者： M.J. Mooij J.R. Dominguez Frejo V. Reppa Department of Maritime and Transport Technology Delft University of Technology Netherlands Department of System Engineering and Automatic Control University of Seville Spain

As inland waterway usage intensifies, it increasingly intersects and conflicts with railway and road transportation modes, highlighting the need for efficient management of these critical junctures. In particular, movable bridges represent a key intersection of highway and waterway Traffic but also a potential source of conflict. This paper proposes and analyzes the use of automatic schedulers that consider both highway and waterway Traffic, reduce conflicts, and make key decisions about bridge use. The METANET macroscopic Traffic model is elaborated to allow the simulation of drawbridge openings on the highway mainline, based on the modelling of mainstream metering. Several MPC-based schedulers are proposed using the designed highway Traffic model and key vessel information, aiming to study the impact of the bridge opening and scheduling on highway Traffic. The simulation results indicate a significant reduction in Traffic conflicts at drawbridge intersections due to the implementation of these schedulers. The functioning of the schedulers is shown to be robust and demonstrate verifiable behavior, indicating their high potential in real-world applications.

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Semi-Autonomous Navigation Based on Local Semantic Map for Mobile Robot

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 27-33页

作者： ZHAO Yanfei XIAO Peng WANG Jingchuan GUO Rui Department of Automation Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240China State Grid Intelligence Technology Co. Ltd.Jinan250013China

Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.

关键词： semi-autonomous navigation mobile robot semantic map voice interaction

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An Automotive Headlight Leveling control Strategy with Rough Road Identification 42

An Automotive Headlight Leveling Control Strategy with Rough...

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42nd Chinese control Conference, CCC 2023

作者： Zhao, Xinyi Zhao, Linhui Deng, Zhichong Ji, Guohuang Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Intelligent Power System Co. Ltd. Wuhan430056 China

ISBN: (纸本)9789887581543

The Automotive Headlamp Leveling system (ALS), aims to ensure the stability of the illumination range of the headlamp by vertically rotate the headlamp using motors when the body attitude changes. This paper proposes an ALS scheme which obtains the body attitude from body height sensors and accordingly calculates the output angles of left headlamp and right headlamp respectively based on Euler transformation. Different from existing ALS, this scheme uses several strategies to improve the performance of ALS, including anti-shake function, working mode division and rough road identification. The purpose of rough road identification is to avoid unexpected vibration of headlamp caused by ALS on rough road and decision tree model is chosen for identification to improve the accuracy. Moreover, several field tests are performed to verify the validity and stability of the system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Decision trees

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