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3rd International Conference on mechanical, Electric and Industrial engineering, MEIE 2020

作者： Li, Wending Shi, Guanglin Dong, Wenyong Qiu, Haihui School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Aerospace Control Technology Institute Shanghai201109 China Shanghai Servo-system Engineering Research Center Shanghai201109 China

On the basis of the stress-strength interference model and reliability perturbation theory, this study applies the second-order distance method to analyze the reliability of actuator parts under the normal distribution of random parameters with ring as the dangerous section. The method of equivalent normalization of non-normal distribution parameters is also implemented in the reliability analysis of the tensile strength of ring sections. The design method described in this paper is applied to the design process of the piston rod of a carrier rocket servo mechanism. The influence curve of random parameters on reliability is drawn. A calculation software is established. This study provides theoretical support and practical method for the design of axial bearing parts with circular section. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Reliability analysis

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Energy Harvesting by Flexible Piezoelectric Generator for Tag Attached on the Oscillating Fish Tail

SSRN

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SSRN 2022年

作者： Chen, Weixing Hu, Yibo Peng, Yinghan Zhu, Chong Zhang, Weidong Gao, Feng State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Research Center of Marine Intelligent Equipment and Robot Institute of Marine Equipment Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai200240 China

Using marine fish-tags to obtain marine environmental information is a significant method for monitoring marine ecology. Nevertheless, the battery capacity of current fish-tags is limited, and most of the fish-tags use invasive implantation methods. In this paper, we propose a principle to harvest energy by flexible piezoelectric generator attached on the oscillating fish tail. The vibration of the caudal fin is utilized to excite the flexible piezoelectric generator to oscillate to produce electrical energy when the fish swims. Based on the principle, a dynamic model of the flexible piezoelectric generator under the excitation of fish-tail swing and an output model of the voltage generated by the flexible piezoelectric generator due to deformation are established. Then, a bionic fish tail is manufactured and the energy harvesting experiments are carried out to verify the accuracy of the models. Finally, an energy harvesting module is designed and a test bed of bionic fish-tail swing energy harvesting is built. The test results show that 6μJ of energy is collected when the tail swings 20 minutes with an amplitude of 3 degrees and a frequency of 1.5Hz. The proposed principle offers a promising non-invasive and longer endurance solution for fish-tags. © 2022, The Authors. All rights reserved.

关键词： Fish

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system Parameter Identification for a Quadrotor UAV by Frequency Domain Method

System Parameter Identification for a Quadrotor UAV by Frequ...

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2021 China automation Congress, CAC 2021

作者： Huang, Jing Li, Dong Wang, Ban Zhang, Youmin Mu, Lingxia Jiao, Shangbin Liu, Han Department of Automation and Information Engineering Xi'an University of Technology Shaanxi Xi'an710048 China Jiujiang Precision Test Technology Research Institute Jiangxi Jiujiang332000 China School of Aeronautics Northwestern Polytechnical University Shaanxi Xi'an710072 China Department of Mechanical Industrial and Aerospace Engineering Concordia University MontrealQCH3G 1M8 Canada

ISBN: (纸本)9781665426473

Without runways and the complex "cross swash plate" mechanical device, quadrotor can both take off vertically and achieve fast maneuvers. As a quite unstable and under-actuated system, to get an accurate bare-airframe model of the studied quadrotor is the key for flight control design. In this paper, the frequency domain system parameter identification method is utilized to obtain the state-space model of a quadrotor. Firstly, the theoretical analysis is conducted to acquire the nonlinear model for the quadrotor. Then, the nonlinear model is linearized, which is divided into four categories by different basic motions as: roll-axis, pitch-axis, yaw-axis, and altitude. After that, CIFER® is chosen to identify the parameters of four categories. Finally, with the low value of the Cramer-Rao (CR) bounds below 20%, it is concluded that the frequency response of the identified model can fit in the real flight data very well, and an accurate bare-airframe model is obtained. © 2021 IEEE

关键词： Frequency response

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Topologically assisted optimization for rotor design

arXiv

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arXiv 2023年

作者： Wang, Tianyu Yang, Yannian Chen, Xuanwu Li, Pengyu Iollo, Angelo Maceda, Guy Cornejo Y. Noack, Bernd R. School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong School of Automation Science and Engineering South China University of Technology Guangzhou510640 China Institute of Aero Engine Tsinghua University Beijing10084 China Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen518055 China Institut de Mathématiques de Bordeaux Université de Bordeaux and Memphis Team Centre Inria de l’Université de Bordeaux Talence33400 France

We develop and apply a novel shape optimization exemplified for a two-blade rotor with respect to the figure of merit (FM). This topologically assisted optimization (TAO) contains two steps. First a global evolutionary optimization is performed for the shape parameters and then a topological analysis reveals the local and global extrema of the objective function directly from the data. This non-dimensional objective function compares the achieved thrust with the required torque. Rotor blades have a decisive contribution to the performance of quadcopters. A two-blade rotor with pre-defined chord length distribution is chosen as the baseline model. The simulation is performed in a moving reference frame with a k−ω turbulence model for the hovering condition. The rotor shape is parameterized by the twist angle distribution. The optimization of this distribution employs a genetic algorithm. The local maxima are distilled from the data using a novel topological analysis inspired by discrete scalar-field topology. We identify one global maximum to be located in the interior of the data and five further local maxima related to errors from non-converged simulations. The interior location of the global optimum suggests that small improvements can be gained from further optimization. The local maxima have a small persistence, i.e., disappear under a small Ε perturbation of the figure of merit values. In other words, the data may be approximated by a smooth mono-modal surrogate model. Thus, the topological data analysis provides valuable insights for optimization and surrogate modeling. Copyright © 2023, The Authors. All rights reserved.

关键词： Turbulence models

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A Space Crawling Robotic Bio-Paw (Scrbp) Enabled by Triboelectric Sensors for Surface Identification

SSRN

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SSRN 2022年

作者： Hou, Xuyan Zhang, Li Gao, Guowei Liu, Yuhui Na, Zhonglai Xu, QingZhang Ding, Tianxiang Li, Long Chen, Tao Research Center of Aerospace Mechanism and Control School of Mechatronics Engineering Harbin Institute of Technology Harbin150080 China Department of MECHANICAL ENGINEERING FACULTY OF ENGINEERING Hong Kong Polytechnic University Hong Kong Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Jiangsu Provincial Key Laboratory of Advanced Robotics School of Mechanical and Electric Engineering Soochow University Suzhou215123 China

With the rapid development of space crawling robotics technology, tactile perception, a significant source for the robot to sense the external environment, has become the preferred solution to gather information in space. Sensors embedded in the robotic end-effector unit can collect and encode the large tactile data, allowing the robot to feel and perceive the real surroundings. Therefore, a space crawling robotic bio-paw (SCRBP) inspired by a cat paw, which performs as a compliant device and can flat the impulse force during the robot’s contact process to the target surface, is proposed in this paper. Meanwhile, a touch-sensing system embedded on SCRBP with self-powered sensors based on the triboelectric nanogenerator (TENG) technology is proposed which can provide the multi-dimensional sensation information in real time. By combining with machine learning (ML), the sensory system can be used for surface identification from the footfall process to the robot’s controller hub. In conclusion, SCRBP device proposed in this paper has obvious advantages in surface information acquisition, space adaptability, power consumption, cost, reliable signal and minimized data. Accordingly, SCRBP system shows fabulous potential in space robotics. © 2022, The Authors. All rights reserved.

关键词： End effectors

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Numerical Study of Flow Boiling Heat Transfer in a Mini-Channel Under Hyper-Gravity

SSRN

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SSRN 2023年

作者： Lu, Wei Zhang, Zhanru Chen, Yujie Yu, Bo Yang, Yanru Wang, Xiaodong State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China Research Center of Engineering Thermophysics North China Electric Power University Beijing102206 China School of Mechanical Engineering Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil & Gas Development Beijing Institute of Petrochemical Technology Beijing102617 China Beijing Institute of Aerospace Testing Technology Beijing100074 China

Gravity plays a crucial role in influencing bubble behavior and heat transfer in flow boiling, and its impact can vary significantly in aerospace. Therefore, this study aims to numerically investigate flow boiling heat transfer in a rectangular mini-channel under hyper-gravity conditions, specifically at 12 times the normal gravity. To accomplish this, a coupled volume-of-fluid and level set method (VOSET) is employed, taking into account fluid-solid conjugated heat transfer as well as a nucleus site density model derived from experimental data. By reproducing the flow pattern and heat transfer characteristics under different heat flux and flow rate conditions, the study unveils the effects of hyper-gravity on flow boiling heat transfer. When the flow rate is lower under hyper-gravity conditions, a notable phenomenon occurs wherein numerous bubbles detach from the heating wall and coalesce into a vapor film at the top of the mini-channel due to the large buoyancy. In contrast, under normal gravity, bubbles merge and slide on the heating wall, leading to the formation of a dry patch below. Consequently, hyper-gravity results in a lower wall superheat, and the disparity in average wall superheat between normal and high gravities escalates as the added heat flux rises. Notably, in the hyper-gravity environment, the frequent detachment of bubbles in the middle and downstream sections of the mini-channel leads to an initial increase in wall superheating, followed by a plateau along the flow direction. As the flow rate increases, the inertial force intensifies. However, intriguingly, the discrepancy in flow boiling heat transfer between normal and high gravities does not exhibit a monotonic decrease with the increasing flow rate. The advantage of hyper-gravity in bubble detachment is greatly weakened after the velocity of 1.0 m/s, before that the wall superheat difference between normal and high gravities increases monotonically. © 2023, The Authors. All rights reserved.

关键词： Flow rate

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Excellent high-temperature friction and wear resistance of high–Cr die steels by trace in–situ nano-ceramics

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Ceramics International 2025年第14期51卷 18540-18552页

作者： Bao, Ze-Ju Yang, Hong-Yu Dong, Bai-Xin Zhong, Xin-Miao Li, Yi-Lu Li, Ai-Min Wang, Cheng-Gang Li, Zhi-Gang Meng, Jia Qiao, Jian Kang, Jie Zhu, Ming Shu, Shi-Li Xu, Hui-Xia Qiu, Feng Jiang, Qi-Chuan State Key Laboratory of Automotive Simulation and Control Jilin University China Key Laboratory of Automobile Materials Ministry of Education and Department of Materials Science and Engineering Jilin University Renmin Street NO. 5988 Jilin Province Changchun130025 China ZhonghangShangda Superalloys Materials Co. Ltd No.16 Wangong Avenue Qinghe County Xingtai City Hebei Province 054800 China Technology Research and Development Casting & Forging Research Institute FAW Foundry Co. Ltd Crossing of Hexie Street & Bingwu Road Automotive Industry Development Zone Changchun Jilin Province 130013 China Department and Test Center FAW-Volkswagen Automotive Co. Ltd Jilin Province Changchun130011 China School of Mechatronic Engineering and Automation Foshan University No. 33 Guangyun Road Nanhai District Guangdong Province Foshan528231 China Jilin Liyuan Precision Manufacturing Co. Ltd. No. 5729 Xi'ning Road Economic Development Zone Jilin Province LiaoYuan136299 China Zhenjiang Xianfeng Automotive Parts Co. Ltd Dantu High Tech Industrial Park Jiangsu Province Zhenjiang212000 China School of Mechanical and Aerospace Engineering Jilin University Renmin Street NO. 5988 Changchun130025 China Jiangsu Tiangong Corporation Ltd A8 Tonggang Road Jiangsu Province Danyang212000 China

In this study, TiC + TiB2 nano-ceramics reinforced high–Cr die steels were successfully prepared using aluminum-based master alloy as a carrier for the nano-ceramics. The impact of nano-ceramics on the microstructure of steels as well as the tensile properties and friction and wear properties under high temperature conditions were explored. The incorporated nano-ceramics can significantly refine the microstructure of steels, resulting in finer and more uniformly precipitated carbides, thereby effectively improving the mechanical properties of steels. Compared with unmanipulated high–Cr die steels, the high-temperature (550 °C) yield strength of high–Cr steels reinforced with 0.02 wt% nano-ceramic was increased from 963 MPa to 1274 MPa. The volume wear rate of nano-ceramics reinforced high Cr steels reached 11.9 × 10−13 m3/m, 3.4 × 10−13 m3/m, 5.6 × 10−13 m3/m and 6.3 × 10−13 m3/m under the four conditions of 400 °C-30 N-300 r/min, 550 °C-20 N-300 r/min, 550 °C-30 N-300 r/min and 550 °C-40 N-300 r/min, which were reduced by 23.7 %, 34.6 %, 34.9 % and 35.1 % respectively. These results provide a new insight into improving the high-temperature friction and wear properties of steels. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Aluminum alloys

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Fault Detection and Classification for Sensor Faults of UAV by Deep Learning and Time-Frequency Analysis

Fault Detection and Classification for Sensor Faults of UAV ...

引用

第40届中国控制会议

作者： Jing Huang Mengna Li Youmin Zhang Lingxia Mu Zihang Ao Haihua Gong Department of Automation and Information Engineering Xi'an University of Technology Jiujiang Precision Test Technology Research Institute Department of Mechanical Industrial and Aerospace EngineeringConcordia University China Satellite Maritime Tracking and Control Department

Sensor faults could occur in unmanned aerial vehicles（UAVs） during a mission of flight,which might deteriorate UAV’s performance or even cause *** different types of sensor faults of a quadrotor UAV,a new fault detection and classification method based on time-frequency analysis（TFA） and deep learning（DL） technologies is proposed in this ***,the data sets including different types of sensor fault in time-domain are generated *** date sets are then transformed into time-frequency domain by short-time Fourier transform（STFT）,resulting in time-frequency graph（TFG）.Secondly,the time-frequency graph sets are used to train the deep network,by which the fault type can be rapidly classified with high ***,the simulations are carried out to verify the performance of the proposed algorithm and the accuracy reaches to 99.6%.

关键词： Fault detection and classification sensor faults classification time-frequency analysis（TFA） deep learning

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Decision-Making in Driver-automation Shared Control:A Review and Perspectives

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1289-1307页

作者： Wenshuo Wang Xiaoxiang Na Dongpu Cao Jianwei Gong Junqiang Xi Yang Xing Fei-Yue Wang IEEE California PATH University of CaliforniaBerkeleyCA 94720 USA Department of Engineering University of CambridgeCambridge CB21PZU.K. Mechanical and Mechatronics Engineering University of WaterlooWaterloo N2L3G1Canada Department of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Research Center for Military Computational Experiments and Parallel Systems TechnologyNational University of Defense TechnologyChangsha 410073China

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to *** human driver,as an essential agent in the driver-vehicle shared control systems,should be precisely modeled regarding their cognitive processes,control strategies,and decision-making *** interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of *** open-ended questions arise,such as what proper role of human drivers should act in a shared control scheme?How to make an intelligent decision capable of balancing the benefits of agents in shared control systems?Due to the advent of these attentions and questions,it is desirable to present a survey on the decision making between human drivers and highly automated vehicles,to understand their architectures,human driver modeling,and interaction strategies under the driver-vehicle shared ***,we give a further discussion on the key future challenges and *** are likely to shape new potential research directions.

关键词： Automated vehicle decision-making human driver human-vehicle interaction shared control

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Cardinality compensation method based on information-weighted consensus filter using data clustering for multi-target tracking

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Chinese Journal of Aeronautics 2019年第9期32卷 2164-2173页

作者： Sunyoung KIM Changho KANG Changook PARK Department of Mechanical and Aerospace Engineering Seoul National UniversitySeoul 08826Republic of Korea BK21+Transformative Training Program for Creative Mechanical and Aerospace Engineers Seoul National UniversitySeoul 08826Republic of Korea Automation and Systems Research Institute Seoul 08826Republic of Korea Institute of Advanced Aerospace Technology Seoul 08826Republic of Korea

In this paper, a cardinality compensation method based on Information-weighted Consensus Filter(ICF) using data clustering is proposed in order to accurately estimate the cardinality of the Cardinalized Probability Hypothesis Density(CPHD) filter. Although the joint propagation of the intensity and the cardinality distribution in the CPHD filter process allows for more reliable estimation of the cardinality(target number) than the PHD filter, tracking loss may occur when noise and clutter are high in the measurements in a practical situation. For that reason, the cardinality compensation process is included in the CPHD filter, which is based on information fusion step using estimated cardinality obtained from the CPHD filter and measured cardinality obtained through data clustering. Here, the ICF is used for information fusion. To verify the performance of the proposed method, simulations were carried out and it was confirmed that the tracking performance of the multi-target was improved because the cardinality was estimated more accurately as compared to the existing techniques.

关键词： Cardinality compensation Cardinalized probability hypothesis density filter Data clustering Information-weighted consensus filter Multi-target tracking

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