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Design and coring performance analysis of handheld and machine-based composite lunar soil coring device

Advances in Space Research 2025年第11期75卷 8287-8303页

作者： Zhang, Xu Zhang, Guoqing Wang, Yaohui Gao, Mingzhong Song, Lei Wang, Chang Xie, Heping College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering Shenzhen University Guangdong Shenzhen518060 China

Sampling and exploration of the Moon is an important means of further developing lunar resources and is of great significance in solving future problems such as the shortage of resources on Earth. Facing the increasingly complex mission requirements and challenges of the lunar exploration project, a composite multifunctional coring device capable of sampling deeper on the lunar surface is needed. Therefore, this paper innovatively proposes a lunar soil coring device program, aiming to research deep stratigraphic preservation sampling technology. The design of this coring device combines the advantages of handheld and machine-based methods to improve coring efficiency. In addition, coring simulation experiments of lunar soil particles based on the discrete element method (DEM) clarified that the assisted impact can improve the coring performance of the device to a certain extent. Finally, according to the designed coring device to construct the corresponding test platform, analyze the influence of different coring methods on the coring performance of the device. Meanwhile, the research results of this paper can provide theoretical and technical support for the subsequent lunar sampling exploration program. © 2025 COSPAR

关键词： Stratigraphy

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In-situ TEM studies on stick–slip friction characters of sp^(2) nanocrystallited carbon films

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Friction 2022年第10期10卷 1635-1649页

作者： Xue FAN Zelong HU Wenchao HUANG Institute of Nanosurface Science and Engineering Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics EngineeringCollege of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China

Carbon films with two different kinds of sp^(2) nanocrystallited structure were investigated to study the stick–slip friction with the in-situ and ex-situ ***-situ transmission electron microscope(TEM)observation and nanofriction tests revealed that the origins of stick and slip varied with shear stress and film *** the stick stage,shear stress gradually increased with the contact strengthened until reached the shear strength to break the interfacial adhesion;at the slip stage,the shear stress decreased and accompanied with film *** the sliding process,adhesive deformation resulted in the large stick–slip step while ploughing deformation led to a smoother ***-situ nanofriction tests on a series of sp^(2) nanocrystallited carbon films with different irradiation energies showed the expected sliding behavior with the in-situ *** study first clarified the mechanism of stick–slip friction with the in-situ TEM observation,which plays the important role for the micro and nano application of sp2 nanocrystallited carbon films.

关键词： carbon films stick-slip contact interface deformation in-situ transmission electron microscope(TEM)

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Catching Flying Objects Based on Trajectory Prediction Method with Long Short-Term Memory Neural Networks 2

Catching Flying Objects Based on Trajectory Prediction Metho...

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2nd International Conference on Advanced Sensing, Intelligent Manufacturing, ASIM 2023

作者： Wang, Zhe Tan, Youhao Zhou, Hang Li, Zhanda Long, Junhui Li, Hui Shenzhen University College of Mechatronics and Control Engineering Shenzhen China Shenzhen University Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen China

ISBN: (纸本)9798350385571

With the rapid development of robotics technology, catching flying objects has become a crucial research focus in the field. The accurate prediction of trajectories for flying objects is pivotal for successful capture. Robots need to accurately and swiftly predict the trajectory based on the observed points to move to the landing point and complete the catch process. Traditional prediction methods include polynomial fitting and predicting object motion equations based on force conditions. However, due to the complexity of flying object motion, traditional methods often exhibit significant accuracy errors and poor generalization to different objects. In response to these challenges, we propose a prediction method based on Long Short-Term Memory (LSTM) neural networks. Experimental results show the superior accuracy of the LSTM prediction algorithm. We conducted tests on a robot using this prediction algorithm, and achieve catch accuracy of 89.7%, surpassing the traditional method's accuracy of 83.4%. © 2023 IEEE.

关键词： Long short-term memory

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Near-perfect replication on amorphous alloys through active force modulation based on machine learning/neural network parameter prediction

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Science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 177-187页

作者： Senkuan Meng Zheng Wang Ruisong Zhu Ruijie Liu Jiang Ma Lina Hu Weihua Wang Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Songshan Lake Materials Laboratory Dongguan 523808China Institute of Physics Chinese Academy of SciencesBeijing 100190China

As a microforming technique,micro/nano-structural replication possesses advantages of high precision and *** the remarkable superplasticity in the supercooled liquid region,amorphous alloys or metallic glasses(MGs)are regarded as ideal materials for miniature ***,due to the intrinsic metastable nature of supercooled liquids,the design of imprinting processes for MGs poses a *** the past,process parameters have largely relied on trial-and-error *** this work,a low-frequency active force modulation system is employed to apply a stable,precise,and real-time feedback stress field for imprinting of MG ***-frequency vibrations can facilitate the filling of microstructures on the template surface by reducing the effective viscosity of the supercooled *** the dataset composed of orthogonal experiments,a machine learning strategy based on back-propagation(BP)neural networks was utilized to construct a 3D parameter space for temperature,stress,and time,and to predict the corresponding filling ***,the optimal combination of imprinting process parameters was identified,and its filling ratio was experimentally validated to reach as high as *** near-perfect replication of microstructures confirms the superiority of the active force modulation system and the data-driven strategy of machine learning-assisted parameter *** the same time,this one-step microforming process provides a new approach to addressing the accuracy-cost trade-off dilemma in precision manufacturing.

关键词： metallic glass amorphous alloy microforming imprinting machine learning

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Micro-nano-fabrication of green functional materials by multiphase microfluidics for environmental and energy applications

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Green Energy & Environment 2024年第8期9卷 1199-1219页

作者： Cheng Qi Tao Zhou Xingjiang Wu Kailang Liu Lei Li Zhou Liu Zhuo Chen Jianhong Xu Tiantian Kong Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenGuangdong518000China The State Key Laboratory of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdong518000China Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhenGuangdong518000China

Multiphase microfluidic has emerged as a powerful platform to produce novel materials with tailor-designed functionalities,as microfluidic fabrication provides precise controls over the size,component,and structure of resultant ***,functional materials with well-defined micro-/nanostructures fabricated by microfluidics find important applications as environmental and energy *** review first illustrated in detail how different structures or shapes of droplet and jet templates are formed by typical configurations of microfluidic channel networks and multiphase flow ***,recent progresses on several representative energy and environmental applications,such as water purification,water collecting and energy storage,were ***,it is envisioned that integrating microfluidics and other novel materials will play increasing important role in contributing environmental remediation and energy storage in near future.

关键词： Microfluidics Multi-phase flow Droplet and microfiber Environmental remediation Energy Storage

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A Novel Sliding Mode control Method for Permanent Magnet Synchronous Motor 26

A Novel Sliding Mode Control Method for Permanent Magnet Syn...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Zhou, Haohan Cao, Guangzhong Hu, Hongjin Wang, Haotian Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen China

ISBN: (纸本)9798350317589

The permanent magnet synchronous motor (PMSM) requires a high tracking response and static accuracy. To achieve this purpure, we present a novel approach for enhancing the speed control of PMSM by integrating a sliding mode controller with an optimized proportional resonant (SMC-PR) controller. The SMC can improve the disturbance rejection performance. The optimized PR controller can achieve steady-state tracking accuracy. With the combination of these two controllers, the PMSM control system can obtain high steady-state performance, fast dynamic response, and strong robust performance. The simulation of the proposed controller is performed on the MATLAB/ Simulink platform. The efficacy of the introduced controller is verified through comprehensive simulation results and analysis. © 2023 IEEE.

关键词： controllers

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Surface Defect Detection of Medical Cables Based on Anomaly Detection 49

Surface Defect Detection of Medical Cables Based on Anomaly ...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Yue, Junyu Cao, Guangzhong Hu, Zhiyong Lei, Yu Wang, Haotian College of Mechatronics and Control Engineering Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen China

ISBN: (纸本)9798350331820

Medical cables have strict requirements for appearance quality, even minor surface defects are considered non-compliant. Surface defects in medical cables exhibit diverse types, uneven distribution and inconspicuous features, which is difficult to identify. This paper proposes Abnormal Generative Adversarial Networks (AbnormalGAN), a surface defect detection method of medical cables based on anomaly detection. The proposed method combines generative adversarial network (GAN) and anomaly detection. The input samples are fed into the generator to reconstruct the positive sample features, 'repairing' the surface defect areas of the medical cables. Then, get the abnormal score which is obtained based on the sum of pixel errors between the input and generated samples. The surface defects of medical cables are identified based on the abnormal score. Experimental results show that the proposed method is able to identifies surface defects in medical cables accurately, including previously unseen defects. The accuracy rate on the medical cable dataset reaches 99.8%. © 2023 IEEE.

关键词： Generative adversarial networks

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Dealloying of an amorphous TiCuRu alloy results in a nanostructured electrocatalyst for hydrogen evolution reaction

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Carbon Energy 2023年第8期5卷 87-97页

作者： Jinsen Tian Yuanchao Hu Wenfei Lu Jiahua Zhu Xiaodi Liu Jun Shen Gang Wang Jan Schroers College of Mechatronics and Controlling Engineering Shenzhen UniversityShenzhenChina Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenChina Department of Mechanical Engineering&Materials Science Yale UniversityNew HavenConnecticutUSA Department of Inorganic Materials School of Materials Science and EngineeringTongji UniversityShanghaiChina Laboratory for Microstructures Institute of MaterialsShanghai UniversityShanghaiChina

Development of an electrocatalyst that is cheap and has good properties to replace conventional noble metals is important for H_(2) *** this study,dealloying of an amorphous Ti_(37)Cu_(60)Ru_(3) alloy was performed to prepare a freestanding nanostructured hydrogen evolution reaction(HER)*** effect of dealloying and addition of Ru to TiCu alloys on the microstructure and HER properties under alkaline conditions was investigated.3 at.%Ru addition in Ti_(40)Cu_(60) decreases the overpotential to reach a current density of 10mA cm^(-2) and Tafel slope of the dealloyed samples to 35 and 34mV dec−*** improvement of electrocatalytic properties was attributed to the formation of a nanostructure and the modification of the electronic structure of the ***-principles calculations based on density function theory indicate that Ru decreases the Gibbs free energy of water *** work presents a method to prepare an efficient electrocatalyst via dealloying of amorphous alloys.

关键词： amorphous alloy dealloying first-principles calculations HER TiCuRu

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Linear Active Disturbance Rejection controller for the 3-DOF Repulsive Magnetic Levitation System 26

Linear Active Disturbance Rejection Controller for the 3-DOF...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Guo, Ming-Hong Cao, Guang-Zhong Huang, Su-Dan Lei, Yu Wang, Hao-Tian Yuan, Xin Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen China

ISBN: (纸本)9798350317589

In the control of the 3-DOF repulsive magnetic levitation system, it is difficult to achieve stable levitation due to the inherent nonlinearity and instability of the system with external disturbance. To enhance the disturbance rejection ability of the system, this paper proposes a linear active disturbance rejection control (LADRC) algorithm. A linear active disturbance rejection controller is developed for the system, which consists of linear states error feedback and extended state observer. The mathematical model is established. The results of simulation and experiments verify the effectiveness and anti-turbulence of the controller. © 2023 IEEE.

关键词： controllers

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Recursive-Extended-Least-Squares-Based Model Predictive Position control for the Planar Switched Reluctance Motor 26

Recursive-Extended-Least-Squares-Based Model Predictive Posi...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Li, Hong-Li Cao, Guang-Zhong Huang, Su-Dan Hu, Hong-Jin Wang, Hao-Tian Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen China

ISBN: (纸本)9798350317589

High-precision trajectory tracking is necessary for planar switched reluctance motors (PSRMs). In this paper, parameter identification is considered, and a model predictive position control (MPPC) algorithm is proposed based on recursive extended least squares (RELS) to enhance the trajectory tracking performance of the laboratory-developed PSRM. The mathematic model and parameter identification model of the PSRM are given. The predictive model, cost function, and control law of the MPPC based on RELS are derived. The effectiveness of the proposed RELS-based MPPC algorithm is verified via simulation and experiment. © 2023 IEEE.

关键词： Position control

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