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Dynamic synchronous motion accuracy measurement and estimation for a five-axis mirror milling system

Science China(Technological Sciences) 2023年第3期66卷 689-705页

作者： XU Kun TANG XinYu BI QingZhen YU YangBo QIAN DeHou JI YuLei State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Shanghai TOP Numerical Control Technology Co. Ltd.Shanghai 201100China

A mirror milling system(MMS)comprises two face-to-face five-axis machine tools,one for the cutting spindle and the other for the support *** it is essential to maintain the cutter and support coaxial during the cutting process,synchronous motion accuracy is the key index of the *** paper proposed a novel method for measuring and estimating the synchronous motion accuracy of the dual five-axis machine *** method simultaneously detects errors in the tool center point(TCP)and tool axis direction(TAD)during synchronous *** implement the suggested method,a measurement device,with five high-precision displacement sensors was developed.A kinematic model was then developed to estimate the synchronous motion accuracy from the displacement sensor *** screw theory was used to obtain the analytical expression of the inverse kinematic model,and the synchronous motion error was compensated and adjusted based on the inverse kinematic model of the dual five-axis machine *** and TAD quasi-static errors,such as geometric and backlash errors,were first *** adjusting the servo parameters,the dynamic TCP and TAD errors,such as gain mismatch and reversal spike,were also *** proposed method and device were tested in a large MMS,and the measured quasi-static and dynamic errors were all reduced when the compensation and adjustment method was *** Carlo simulations were also used to estimate the uncertainty of the proposed scheme.

关键词： mirror milling synchronous motion error five-axis machine tool measurement dynamic accuracy

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Research On HEV Multi-Agent control Based on Working Condition Recognition 8

Research On HEV Multi-Agent Control Based on Working Conditi...

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8th International Conference on Energy System, Electricity, and Power, ESEP 2023

作者： Yin, Jianhua Niu, Limin Zhu, Fentian Si, Ming Zhou, Tianpeng School of Mechanical Engineering Anhui University of Technology Ma'anshan243032 China Key Laboratory of Advanced Numerical Control & Servo Technology of Anhui Province Anhui Polytechnic University Wuhu241000 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

Aiming at the adaptive problem of driving conditions in the energy management process of Hybrid Electric Vehicle (HEV), the research of HEV powertrain multi-intelligent body control system based on condition recognition is carried out with two-axle parallel HEV as the research object. Firstly, the theory of Multi-Agent System (MAS) is introduced into the vehicle power system, and a vehicle powertrain control model is constructed;the working condition recognition module is established, and it is embedded into the ADVISOR vehicle simulation software together with the energy management strategies of four different working condition control types, and compared and analyzed with the electrically-assisted strategies, and the experiments are carried out on the basis of the D2P technology. Based on D2P technology, an experimental rig is built to verify the effectiveness and feasibility of the proposed strategies. © 2024 SPIE.

关键词： Multi agent systems

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Full-Space Beam Scanning Antenna Based on Spoof Surface Plasmon Polaritons

Full-Space Beam Scanning Antenna Based on Spoof Surface Plas...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Wu, Zhicheng Kong, Xianglin Wang, Jun Xu, Ruofeng Zhao, Lei Xu, Yinfang School of Information and Control Engineering China University of Mining and Technology Xuzhou China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (纸本)9781733509657

In this paper, a full-space beam scanning antenna based on spoof surface plasmon polaritons (SSPPs) is proposed. The proposed antenna is composed of a SSPPs loaded by the varactor diodes and periodic metallic patches. The periodic patches can transform the slow waves from SSPPs into fast waves, and the cutoff frequency can be reconfigured by changing the capacitance of the varactor diode, which will make the radiation angle of the beam change within a fixed frequency. Simulation results show that the radiation angle ranges from -90° to 90° at 9 GHz. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Scanning antennas

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Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Improved Annealing Algorithm 8

Energy Management Strategy for Plug-in Hybrid Electric Vehic...

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8th International Conference on Electromechanical control technology and Transportation, ICECTT 2023

作者： Hu, Chao Niu, Limin Zhang, Daiqing Wan, Lingchu School of Mechanical Engineering Anhui University of Technology Ma'anshan243032 China Key Laboratory of Advanced Numerical Control & Servo Technology of Anhui Province Anhui Polytechnic University Wuhu241000 China

ISBN: (纸本)9781510668331

In order to solve the problem that minimum control strategy of equivalent fuel consumption for plug-in hybrid electric vehicles (PHEVs) is not effective, an ECMS energy management strategy based on improved annealing algorithm was designed. Firstly, based on the traditional control model, the optimized PID equivalent factor control model is constructed. In order to solve the problem of overfitting when optimizing the traditional annealing algorithm (SA), tempering link and memory search function were added to the algorithm, and the improved algorithm was used to optimize the PID equivalent factor, and the vehicle dynamics simulation was carried out in MATLAB/SIMULINK environment. The results show that: Under the Worldwide Light-duty Test Cycle (WLTC) conditions, compared with the rule-based logical threshold control strategy and the pre-optimized ECMS strategy, the optimized ECMS strategy increased the fuel saving rate by 18.49% and 3.28%, respectively. Under the New European Driving Cycle (NEDC) conditions, compared with the rule-based logical threshold control strategy and the pre-optimized ECMS strategy, the fuel saving rate is increased by 20.20% and 2.61%, respectively. The proposed model effectively reduces fuel consumption and has good robustness. © 2023 SPIE.

关键词： Simulated annealing

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Source-Configured Microwave Plasmonic Vortices Based on Single Meta-Particle

Source-Configured Microwave Plasmonic Vortices Based on Sing...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Kong, Xianglin Zhao, Lei Shen, Xiaopeng Xu, Yinfang School of Information and Control Engineering China School of Materials Science and Physics China University Mining and Technology Xuzhou China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (纸本)9781733509657

In this paper, generation of plasmonic vortices with tunable topologic charges is proposed in the microwave regime. Tunable vortices with topologic charges of 0, +1 and -1 can be configured by illuminating incident plane waves with linearly polarization (LP), left-circularly polarization (LHCP) and right-circularly polarization (RHCP) on a single meta-particle, respectively. A spiral meta-particle operating at 2.94 GHz is designed, fabricated and measured to demonstrate the source-configured characteristics. The results showed that simulation and test are consistent with the theoretical ones. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Vortex flow

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SVM-based Fault Detection Method for Air Conditioners in EMU Train 7

SVM-based Fault Detection Method for Air Conditioners in EMU...

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7th International Conference on Data Science and Information technology, DSIT 2024

作者： Wei, Rongjiao Pan, Chao Wei, Pu An, Yangyang Zhu, Hao Wang, Mulan Nanjing Institute of Technology School of Communications and Information Engineering Nanjing China China Railway Shanghai Group Co. Ltd. Nanjing EMU Depot Nanjing China Nanjing Institute of Technology Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing China

ISBN: (纸本)9798350384093

In this paper, we introduce and experimentally demonstrate a fault detection method for the air conditioner in the EMU train, which usually generates abnormal sounds when the faults occur. The technique utilizes the Support Vector Machine (SVM) to recognize the time-frequency characteristics of the sound generated by the air conditioner, which is extracted using the short-time Fourier transform (STFT). In addition, a detection system is built for the experiment, in which an FPGA and an embedded system are employed for sound acquisition and acoustic signal process, respectively. The penalty factor of the SVM model is optimized and accuracy of 0.977 is achieved. Our method will improve the efficiency and accuracy of fault detection for the air conditioner in the EMU train. © 2024 IEEE.

关键词： Support vector machines

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Double-exponential trapezoidal shaping filtering algorithm based on FPGA 4

Double-exponential trapezoidal shaping filtering algorithm b...

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4th International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2024

作者： Wang, Chaoya Qu, Jinhui Li, Lang Yang, Hua Pan, Anyuan Wang, Shaofei Tang, Bin Zhang, Ying Zhi, Chao Chongqing University of Technology Chongqing Key Laboratory of Optical Fibre Sensing and Photodetection Chongqing400054 China East China University of Technology Nanchang China High-tech Enterprise Research and Development Centre for High-grade Servo Numerical Control System Zhejiang Province Jiaxing China

ISBN: (数字)9781510682818

ISBN: (纸本)9781510682801

With the rapid development of high-precision and high-speed ADC devices, traditional analog processing methods for nuclear pulse signals have gradually exited the historical stage. Digitizing nuclear pulse signals has become the main research direction in multi-channel nuclear energy spectrum measurement systems. The trapezoidal shaping filtering algorithm, as the most used nuclear pulse shaping algorithm, has a certain noise suppression capability. This paper studies the double-exponential trapezoidal shaping filtering method based on FPGA in practical applications and explores its role in further eliminating pile-up effects under high counting rates. © 2024 SPIE.

关键词： Wiener filtering

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Modulation of marine heatwaves by salinity effect in the Northeast Pacific Ocean in 2013-2014

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Acta Oceanologica Sinica 2025年第1期44卷 17-27页

作者： Xiaokun Wang Hai Zhi Ronghua Zhang Jiaxiang Gao Pengfei Lin School of Atmospheric Sciences Nanjing University of Information Science and TechnologyNanjing 210044China Henan Meteorological Disaster Prevention Technology Center Zhengzhou 450003China School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China Laoshan Laboratory Qingdao 266237China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Marine heatwaves(MHWs)are extreme ocean events characterized by anomalously warm upper-ocean temperatures,posing significant threats to marine *** various factors driving MHWs have been extensively studied,the role of ocean salinity remains poorly *** study investigates the influence of salinity on the major 2013-2014 MHW event in the Northeast Pacific using reanalysis data and climate model *** results show that salinity variabilities are crucial for the development of the MHW ***,a significant negative correlation exists between sea surface temperature anomalies(SSTAs)and sea surface salinity anomalies(SSSAs)during the MHW,with the SSSAs emerging simultaneously with SSTAs in the same *** salinity anomalies(SAs)result in a shallower mixed layer,which suppresses vertical mixing and thus sustains the upper-ocean ***,salinity has a greater impact on mixed layer depth anomalies than *** sensitivity experiments further demonstrate that negative SAs during MHWs amplify positive SSTAs by enhancing upper-ocean stratification,intensifying the ***,our analysis indicates that the SAs are predominantly driven by local freshwater flux anomalies,which are mainly induced by positive precipitation anomalies during the MHW event.

关键词： marine heatwave salinity effect ocean stratification and mixing sea surface temperature Northeast Pacific Ocean

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Machine learning for membrane bioreactor research:principles,methods,applications,and a tutorial

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Frontiers of Environmental Science & Engineering 2025年第3期19卷 119-144页

作者： Yizhe Lai Kang Xiao Yifan He Xian Liu Jihua Tan Wenchao Xue Aiqian Zhang Xia Huang Beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China Key Laboratory of Earth System Numerical Modeling and Application University of Chinese Academy of SciencesBeijing 101408China Environmental Chemistry Faculty College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Department of Energy Environmentand Climate ChangeSchool of EnvironmentResourcesand DevelopmentAsian Institute of TechnologyP.O.Box 4Klong LuangPathumthani 12120Thailand State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Membrane fouling poses a significant challenge to the sustainable development of membrane bioreactor(MBR)technologies for wastewater *** accurate prediction of the membrane filtration process is of great importance for identifying and controlling *** learning methods address the limitations of traditional statistical approaches,such as low accuracy,poor generalization ability,and slow convergence,particularly in predicting complex filtration and fouling processes within the realm of big *** article provides an in-depth exposition of machine learning *** study then reviews advances in MBRs that utilize machine learning methods,including artificial neural networks(ANN),support vector machines(SVM),decision trees,and ensemble *** on current literature,this study summarizes and compares the model input and output characteristics(including foulant characteristics,solution environments,filtration conditions,operating conditions,and time factors),as well as the selection of models and optimization *** modeling procedures of SVM,random forest(RF),back propagation neural network(BPNN),long short-term memory(LSTM),and genetic algorithm-back propagation(GA-BP)methods are elucidated through a tutorial *** simulation results demonstrated that all five methods yielded accurate predictions with R2>***,the existing challenges in the implementation of machine learning models in MBRs were *** is notable that integration of deep learning,automated machine learning(AutoML)and explainable artificial intelligence(XAI)may facilitate the deployment of models in practical engineering *** insights presented here are expected to facilitate the establishment of an intelligent control framework for MBR processes in future endeavors.

关键词： Membrane bioreactor Machine learning Pollutant removal Membrane fouling Model prediction

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Research on risk Assessment and decision support for underwater Platform in Naval Battle field environment

Research on risk Assessment and decision support for underwa...

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2022 International Conference on Information Processing in Ocean Science and technology, ICIPOST 2022

作者： Zilong, Guo Hong, Mei Shi, Jian Yunxiang, Zhang Qiuliang, Hu Research Centre of Ocean Environment Numerical Simulation Institute of Meteorology and Oceanography PLA University of Science and Technology Nanjing China Key Laboratory of Surficial Geochemistry Ministry of EducationDepartment of Hydrosciences School of Earth Sciences and Engineering State Key Laboratory of Pollution Control and Resource Reuse Nanjing University Nanjing210093 China

Autonomous underwater unmanned platforms have become important facilities in the marine field since countries attach importance to maritime rights and interests, and play an important role in both military and civilian use. However, complex underwater marine environmental elements will have a huge impact on the performance of underwater unmanned platforms, and how to ensure the safe and stable operation of underwater unmanned platforms has become an urgent problem to be solved. Based on this practical problem, this paper studies the influence of marine environmental elements on the operation of underwater unmanned platforms with reference to the hydrological data of the South China Sea, and uses Bayesian methods to carry out risk zoning of the impact of the marine environment in the South China Sea on underwater unmanned platforms. © Published under licence by IOP Publishing Ltd.

关键词： Risk assessment

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