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Mechanism Development of Separable Trimaran Robot With Multiple Rescue Methods

Journal of Institute of control, Robotics and systems 2025年第1期31卷 29-36页

作者： Kim, Yugyeom Kim, Hyun-Sik Department of Mechanical System Engineering Tongmyong University Korea Republic of School of Electrical and Control Tongmyong University Korea Republic of

In recent years, the need for surface life-saving is gradually increasing as a response to accidents such as ship collisions in the marine environment. To solve this problem, there were approaches that launched life-saving rings, approached humans closely using rescue robots, and monitored life-saving status using drones. However, they did not solve the problem simultaneously in terms of rapidity, accuracy, and safety. To resolve this problem, a separable trimaran robot with a life-saving ring launcher and a drone is proposed and its mechanism is developed. Straightness, turning, launching, restoring and recover tests were performed to verify the validity of the proposed robot mechanism. Experimental results show that the proposed robot mechanism enables a rapid, accurate and safe surface life-saving. Therefore, it shows that the mechanism has meaningful components in surface life-saving and has the possibility of real system application. © ICROS 2025.

关键词： Drones

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Re-Entry Trajectory Prediction Considering Skip Maneuver Characteristics

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Transactions of the Korean Institute of Electrical Engineers 2025年第4期74卷 666-676页

作者： Jeong, Seon-Gyo Kang, Jihoon Han, Kwang-Hee Cho, Kwanphil Ra, Won-Sang School of Mechanical and Control Engineering Handong Global University Korea Republic of Department of Mechanical and Control Eng. Handong Global University Korea Republic of Department of Spatial Env. System Eng. Handong Global University Korea Republic of

This paper proposes a precise skip trajectory prediction algorithm of a maneuvering reentry vehicle(MaRV). It is well known that most MaRVs tend to fly the skip trajectory while maintaining a certain lift-to-drag ratio to ensure the aerodynamic efficiency. This fact motivates us to derive a closed-form solution of the skip trajectory which expressed in terms of the lift-to-drag estimate. It shows that although the magnitude of the MaRV’s flight path angle are the same when it enters and exits the atmosphere, their signs are opposite. Exploiting this analysis result and the lift-to-drag estimates, we can efficiently make a long term prediction of the skip trajectory. Unlike existing methods, the proposed method does not require the establishment of a database of aerodynamic properties of MaRVs and reduces the computational burden of numerical integration, which is very suitable for practical applications. Through simulations on typical MaRV trajectory scenarios, it is verified that the proposed method provides superior skip trajectory prediction performance compared to existing schemes. © The Korean Institute of Electrical Engineers.

关键词： Target tracking

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Accelerated discovery of eutectic compositionally complex alloys by generative machine learning

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npj Computational Materials 2024年第1期10卷 1091-1102页

作者： Z.Q.Chen Y.H.Shang X.D.Liu Y.Yang Department of Mechanical Engineering City University of Hong KongHong KongChina City University of Hong Kong(Dongguan) DongguanGuangdongChina College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Materials Science and Engineering City University of Hong KongKowloonChina Department of System Engineering College of EngineeringCity University of Hong KongKowloonChina

Eutectic alloys have garnered significant attention due to their promising mechanical and physical properties,as well as their technological ***,the discovery of eutectic compositionally complex alloys(ECCAs)(*** entropy eutectic alloys)remains a formidable challenge in the vast and intricate compositional space,primarily due to the absence of readily available phase *** address this issue,we have developed an explainable machine learning(ML)framework that integrates conditional variational autoencoder(CVAE)and artificial neutral network(ANN)models,enabling direct generation of *** overcome the prevalent problem of data imbalance encountered in data-driven ECCA design,we have incorporated thermodynamicsderived data descriptors and employed K-means clustering methods for effective data *** our ML framework,we have successfully discovered dual-or even tri-phased ECCAs,spanning from quaternary to senary alloy systems,which have not been previously reported in the *** findings hold great promise and indicate that ourML framework can play a pivotal role in accelerating the discovery of technologically significant ECCAs.

关键词： eutectic alloys alloy

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Robotic mobile and mirror milling of large-scale complex structures

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National Science Review 2023年第5期10卷 10-13页

作者： Zenghui Xie Fugui Xie Limin Zhu Xin-Jun Liu State Key Laboratory of Tribology in Advanced Equipment Department of Mechanical Engineering(DME) Tsinghua University Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong University

Large-scale complex structures,such as spacecraft cabins,aircraft composite skins and launch vehicle fuel tanks,are the core components of the equipment in aerospace,energy,shipbuilding and other *** milling quality and efficiency are factors directly affecting the performance and productivity of spacecraft,aircraft and other key *** kind of structure generally features large dimension,high accuracy,

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A theoretical and deep learning hybrid model for predicting surface roughness of diamond-turned polycrystalline materials

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International Journal of Extreme Manufacturing 2023年第3期5卷 620-644页

作者： Chunlei He Jiwang Yan Shuqi Wang Shuo Zhang Guang Chen Chengzu Ren Tianjin Key Laboratory of Equipment Design and Manufacturing Technology Department of Mechanical EngineeringTianjin UniversityTianjin 30054People’s Republic of China Department of Mechanical Engineering Keio UniversityYokohama 223-8522Japan Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384People’s Republic of China School of Mechanical Engineering Yanshan UniversityQinhuangdao 066004People’s Republic of China

Polycrystalline materials are extensively employed in *** surface roughness significantly affects the working *** defects,particularly grain boundaries,have a great impact on the achieved surface roughness of polycrystalline ***,it is difficult to establish a purely theoretical model for surface roughness with consideration of the grain boundary effect using conventional analytical *** this work,a theoretical and deep learning hybrid model for predicting the surface roughness of diamond-turned polycrystalline materials is *** kinematic–dynamic roughness component in relation to the tool profile duplication effect,work material plastic side flow,relative vibration between the diamond tool and workpiece,etc,is theoretically *** material-defect roughness component is modeled with a cascade forward neural *** the neural network,the ratio of maximum undeformed chip thickness to cutting edge radius RT S,work material properties(misorientation angle θ_(g) and grain size d_(g)),and spindle rotation speed n s are configured as input *** material-defect roughness component is set as the output *** validate the developed model,polycrystalline copper with a gradient distribution of grains prepared by friction stir processing is machined with various processing parameters and different diamond *** with the previously developed model,obvious improvement in the prediction accuracy is observed with this hybrid prediction *** on this model,the influences of different factors on the surface roughness of polycrystalline materials are *** influencing mechanism of the misorientation angle and grain size is quantitatively *** fracture modes,including transcrystalline and intercrystalline fractures at different RTS values,are ***,optimal processing parameters are obtained with a simulated annealing *** experiments are performed with

关键词： diamond turning material-defect roughness component polycrystalline copper neural network simulated annealing algorithm

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Knowledge and data jointly driven aeroengine gas path performance assessment method

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Chinese Journal of Aeronautics 2024年第5期37卷 533-557页

作者： Zhe WANG Xuyun FU Rui ZHANG Zhengfeng BAI Xiangzhao XIA Wei JIANG Department of Mechanical Engineering Harbin Institute of TechnologyWeihai 264209China Weihai Key Laboratory of Intelligent Operation and Maintenance Harbin Institute of TechnologyWeihai 264209China Control System Design Laboratory AECC ShenYang Engine Research InstituteShenyang 110015China

Aeroengines,as the sole power source for aircraft,play a vital role in ensuring flight *** gas path,which represents the fundamental pathway for airflow within an aeroengine,directly impacts the aeroengine's performance,fuel efficiency,and ***,timely and accurate evaluation of gas path performance is of paramount *** paper proposes a knowledge and data jointly driven aeroengine gas path performance assessment method,combining Fingerprint and gas path parameter deviation ***,Fingerprint is used to correct gas path parameter deviation values,eliminating parameter shifts caused by non-component performance ***,coarse errors are removed using the Romanovsky criterion for short-term data divided by an equal-length overlapping sliding ***,an Ensemble Empirical Mode Decomposition and Non-Local Means(EEMD-NLM)filtering method is designed to“clean”data noise,completing the preprocessing for gas path parameter deviation ***,based on the characteristics of gas path parameter deviation values,a Dynamic Temporary Blended Network(DTBN)model is built to extract its temporal features,cascaded with Multi-Layer Perceptron(MLP),and combined with Fingerprint to construct a Dynamic Temporary Blended AutoEncoder(DTB-AutoEncoder).Eventually,by training this improved autoencoder,the aeroengine gas path multi-component performance assessment model is formed,which can sufficiently decouple the nonlinear mapping relationship between aeroengine gas path multi-component performance degradation and gas path parameter deviation values,thereby achieving the performance assessment of engine gas path *** practical application cases,the effectiveness of this model in assessing the aeroengine gas path multi-component performance is verified.

关键词： Performance assessment Aeroengine Fingerprint Gas path parameter deviation values Jointly drive

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Effects of ultrasonic vibration parameters on the cutting force, chip morphology, and bone cracking in bovine cortical bone milling

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International Journal of Abrasive Technology 2024年第4期12卷 293-312页

作者： Hu, Yahui Zhong, Jie He, Lingrui Lin, Yize Zhang, Zhaoxiong Zhang, Chunqiu Fu, Weihua Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Department of General Surgery Tianjin Medical University General Hospital Tianjin300052 China

Ultrasonic vibration-assisted technology is employed in orthopaedic surgery to minimise invasive effects in bone milling. This study explored the motion characteristics of ultrasonic vibration-assisted milling (UVAM), its intermittent cutting phenomenon, and tool-bone contact and separation times, via the developed experimental platform. The UVAM and conventional milling (CM) tests were carried out on bovine cortical bones with measurement of respective cutting forces and scanning electron microscope (SEM) observation of crack initiation and propagation in the milled bones. The UVAM application improved the chip-breaking ability of the milling tool and reduced the bone-milling force by 15.90%–25.06% compared to CM. Properly adjusting ultrasonic frequency and amplitude made it possible to reduce the bone cracking effect and enhance the milled bone surface quality. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Mammals

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Path Planning Based on A-Star and Dynamic Window Approach Algorithm for Wild Environment

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 725-736页

作者： DONG Dejin DONG Shiyin ZHANG Lulu CAI Yunze Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai200240China Shanghai Electro-Mechanical Engineering Institute Shanghai201109China

The path planning problem of complex wild environment with multiple elements still poses *** paper designs an algorithm that integrates global and local planning to apply to the wild environmental path *** modeling process of wild environment map is *** optimization strategies are designed to improve the A-Star in overcoming the problems of touching the edge of obstacles,redundant nodes and twisting paths.A new weighted cost function is designed to achieve different planning ***,the improved dynamic window approach(DWA)is designed to avoid local optimality and improve time efficiency compared to traditional *** the necessary path re-planning of wild environment,the improved A-Star is integrated with the improved DWA to solve re-planning problem of unknown and moving obstacles in wild environment with multiple *** improved fusion algorithm effectively solves problems and consumes less time,and the simulation results verify the effectiveness of improved algorithms above.

关键词： path planning path re-planning wild environment A-Star algorithm dynamic window approach

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L1adaptive controller design for a tail fin controlled fixed wing unmanned aerial vehicle 13

L1adaptive controller design for a tail fin controlled fixed...

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13th EASN International Conference on Innovation in Aviation and Space for Opening New Horizons

作者： Demirli, Alican Koc, Ilker Murat Kurkcu, Burak Aselsan INC. Yenimahalle Ankara Turkey Department of Mechanical Engineering Istanbul Technical University Istanbul Turkey Mechanical System Control Laboratory UC Berkeley CA United States

The aim of this study is to design L1 adaptive controller, which is one of the robust control methods that can overcome model uncertainties, disturbances and noises, for a fixed-wing unmanned aerial vehicle (UAV) with tail fin controlled. In this context, first of all, the decoupled equations of motion of the six-degrees-of-freedom system are derived for the roll, pitch and yaw channels of the UAV. Then, the performance of the controller is demonstrated by simulation results for linearized system representation. By adding parameter errors to the system in question, the feature of tracking the given angle commands are analyzed. It has been observed that the L1 adaptive control structure exhibits rapid adaptation even in presence of system uncertainties. Finally, the controller is applied to the nonlinear system and operated throughout the entire flight envelope. © Published under licence by IOP Publishing Ltd.

关键词： Fixed wings

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Learning-based MPC of sampled-data systems with partially unknown dynamics

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ISA Transactions 2025年 162卷 64-74页

作者： Han, Seungyong Guo, Xuyang Kommuri, Suneel Kumar Department of Mechanical System Engineering Jeonbuk National University 567 Baekje-daero Deokjin-gu Jeonju54896 Korea Republic of Department of Control Science and Engineering Tongji University Shanghai China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou215123 China

In this paper, a novel learning-based model predictive control (LMPC) method is proposed for sampled-data control systems with partially unknown dynamics. Many real-world processes are subject to time-varying parameters and irregular data sampling, making accurate modeling and stability guarantees extremely challenging. To address this, the proposed method uses a neural ordinary differential equation (NODE) to learn unknown time-varying parameter dynamics from irregularly observed data. This learned model is then integrated into the sampled-data MPC framework. In particular, the LMPC method guarantees the system's ultimate boundedness by deriving conditions based on the Gronwall–Bellman inequality. Finally, two practical examples illustrate the applicability of the LMPC method to real-world systems and demonstrate its quantitative stability analysis. © 2025

关键词： Sampled data control systems

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