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Improved closed-loop tracking interferometer measurement for a five-axis machine tool with a bi-rotary milling head

Science China(Technological Sciences) 2022年第5期65卷 1127-1136页

作者： TANG XinYu XU Kun BI QingZhen SONG ZhiYong JI YuLei QIAN DeHou State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai200240China AVIC Chengdu Aircraft Industrial(Group)Co. Ltd.Chengdu610092China Shanghai TOP Numerical Control Technology Co. Ltd.Shanghai201100China

Tracking interferometer based on bi-rotary milling head is a novel scheme to conduct volumetric accuracy measurement of a five-axis machine *** laser beam direction of the interferometer can be regulated to follow the retroreflector by moving the bi-rotary *** is a low-cost implementation of multilateration measurement,and its measurement accuracy is mainly affected by the error motion of the rotary *** paper proposes an improved multilateration principle to identify the positionindependent geometric errors of rotary axis and laser beam,and minimize their impact on the measurement uncertainty.A closed-loop tracking interferometer system installed on the spindle is developed to perform the measurement with high tracking *** device can be installed on an ordinary five-axis machine tool without modifying the machine tool *** proposed scheme is conducive to improving the accuracy and practical application of the tracking interferometer based on birotary milling *** with the corresponding closed-loop tracking interferometer and uncertainty analysis are conducted to verify the performance of the proposed measurement scheme.

关键词： tracking interferometer multilateration volumetric accuracy five-axis machine tools

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Planetary gearbox fault detection of wind turbines based on chaotic particle swarm algorithm and convolutional deep belief network 2

Planetary gearbox fault detection of wind turbines based on ...

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2nd International Conference on Electronic Materials and Information Engineering, EMIE 2022

作者： Tan, Tao Sun, Jiandong Wang, Jia Lu, Fan Gao, Yuqin Nari Group Corporation State Grid Electric Power Research Institutie NARI Technology Nanjing Control System Co. Ltd. Jiangsu Nanjing230001 China

ISBN: (纸本)9781713865629

The vibration signal of planetary gearbox of wind turbine is a kind of non-linear and non-stationary complex signal. The traditional fault diagnosis method can deal with this kind of signal well in a limited range. In this paper, the convolution depth belief network is established for planetary gear-box fault diagnosis. In order to prevent the wrong selection of hyper parameters from causing insufficient recognition accuracy, particle swarm optimization algorithm is introduced to optimize the hyper parameters of the network, and the chaos initialization of particles improves the global search ability of particles. Firstly, the original signal is decomposed by VMD to extract the eigenmode function which is relatively concentrated in the impact information as the input data of the network. Then, the training set is used to train, the chaos particle swarm optimization algorithm is used to deter-mine the hyper parameters of the network according to the minimum fitness function, and the layer by layer greedy algorithm is used to continuously update the network parameters. Finally, the extracted fault features are classified by a classifier. After verification, this method can diagnose the fault of planetary gearbox under different conditions. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Wind turbines

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Adaptive control of Discrete-time Nonlinear systems Using ITF-ORVFL

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 556-563页

作者： Xiaofei Zhang Hongbin Ma Wenchao Zuo Man Luo School of Automation Beijing Institute of TechnologyBeijing 100081 School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China School of Automation Beijing Institute of Technologyand also with the State Key Laboratory of Intelligent Control and Decision of Complex Systems(Beijing Institute of Technology)Beijing 100081China School of Automation Beijing Institute of TechnologyBeijing 100081and he is with Beijing Institute of Electronic System EngineeringBeijing 100854China School of Automation Beijing Institute of TechnologyBeijing 100081and she is with Ant GroupBeijing 310013China

Random vector functional ink(RVFL)networks belong to a class of single hidden layer neural networks in which some parameters are randomly *** network structure in which contains the direct links between inputs and outputs is unique,and stability analysis and real-time performance are two difficulties of the control systems based on neural *** this paper,combining the advantages of RVFL and the ideas of online sequential extreme learning machine(OS-ELM)and initial-training-free online extreme learning machine(ITFOELM),a novel online learning algorithm which is named as initial-training-free online random vector functional link algo rithm(ITF-ORVFL)is investigated for training *** link vector of RVFL network can be analytically determined based on sequentially arriving data by ITF-ORVFL with a high learning speed,and the stability for nonlinear systems based on this learning algorithm is *** experiment results indicate that the proposed ITF-ORVFL is effective in coping with nonparametric uncertainty.

关键词： Adaptive control initial-training-free online learning algorithm random vector functional link networks

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Design of low-weight, small-size and high-efficiency equalization circuits based on switched-capacitors 4

Design of low-weight, small-size and high-efficiency equaliz...

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2022 4th International Conference on Electronic Engineering and Informatics, EEI 2022

作者： Ding, Yanhong Zhao, Xin Li, Kun Liu, Qing Shi, Gengxin School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China China Electronics Technology Group Corporation Tianjin China

ISBN: (纸本)9783800759231

An any cell to any cell equalization circuit, which is based on switched capacitors and energy bus, is proposed in this paper. In this equalization topology, any high voltage cell can directly transfer the power to any low voltage cell through energy bus. With the increasing miniaturisation and integration of circuit boards, the topology proposed in this paper reduces the size of the circuit by varying the capacitance and frequency in order to further reduce the area and weight of the circuit. At the same time compared with the equalization circuit using transformers or inductance devices, this circuit has the characteristics of low cost, low-weight, small-size, easy integration and simple control scheme and it is suitable for applictions such as aerospace and unmanned aerial vehicles. The feasibility of the circuit topology is verified by formula demonstration and simulation results. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Cells

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Enhancing Traffic Flow Forecasting with Spatio-Temporal Information: A Case Study on Highway Networks in Belgium 8

Enhancing Traffic Flow Forecasting with Spatio-Temporal Info...

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8th International Conference on Instrumentation, control, and Automation, ICA 2023

作者： Fathurrahman, Muhammad Farhan Catteeuw, Arne Gautama, Sidharta Aguirre, Angel L. Joelianto, Endra Sutarto, Herman Y. Ghent University Engineering and Product Design Department of Industrial Systems Ghent Belgium Department of Intelligent System Bandung Indonesia FlandersMake@UGent-Corelab ISyE Lommel Belgium Institut Teknologi Bandung Instrumentation and Control Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350301274

As the number of vehicles continues to increase every year, it is crucial to monitor traffic conditions effectively. Traffic forecasting serves as a valuable method in traffic management to support decision making. This study investigates the impact of utilizing spatio-Temporal data for traffic flow forecasting, as opposed to forecasting each location individually. We compare spatio-Temporal Long Short-Term Memory (LSTM), a machine-learning technique that utilizes spatially correlated sensor data in a network, and compare this to conventional LSTM and Seasonal ARIMA (SARIMA). Experiments have been conducted on counting loop data of a highway network in Belgium. We have investigated the performances of the forecasting model for different prediction horizons. The results show that spatial information improves the performance of the forecasting model and reduces the training time required. Further analysis show that the spatio-Temporal LSTM improves majorities of detectors while the minorities detectors are degraded which imply the importances of network selection. The computational load of the spatio-Temporal LSTM model is minimally impacted by the number of sensors in the network thus making it scalable. The results show that longer prediction horizons degrade the forecasting performance but the impact up to a 12 hour-horizon is not significant. © 2023 IEEE.

关键词： Long short-term memory

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Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models

arXiv

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arXiv 2023年

作者： Moradi, Sarvin Jaensson, Nick Tóth, Roland Schoukens, Maarten Control System group Eindhoven University of Technology Eindhoven Netherlands Eindhoven Artificial Intelligence Systems Institute Eindhoven Netherlands Processing and Performance of Materials Group Eindhoven University of Technology Eindhoven Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

In order to make data-driven models of physical systems interpretable and reliable, it is essential to include prior physical knowledge in the modeling framework. Hamiltonian Neural Networks (HNNs) implement Hamiltonian theory in deep learning and form a comprehensive framework for modeling autonomous energy-conservative systems. Despite being suitable to estimate a wide range of physical system behavior from data, classical HNNs are restricted to systems without inputs and require noiseless state measurements and information on the derivative of the state to be available. To address these challenges, this paper introduces an Output Error Hamiltonian Neural Network (OE-HNN) modeling approach to address the modeling of physical systems with inputs and noisy state measurements. Furthermore, it does not require the state derivatives to be known. Instead, the OE-HNN utilizes an ODE-solver embedded in the training process, which enables the OE-HNN to learn the dynamics from noisy state measurements. In addition, extending HNNs based on the generalized Hamiltonian theory enables to include external inputs into the framework which are important for engineering applications. We demonstrate via simulation examples that the proposed OE-HNNs results in superior modeling performance compared to classical HNNs. © 2023, CC BY-NC-SA.

关键词： Hamiltonians

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Prediction of Distributed Photovoltaic Accommodation Capability Based on Ridge Regression 9th

Prediction of Distributed Photovoltaic Accommodation Capabil...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Ji, Xingquan Zhang, Bowen Zhang, Yumin Sun, Pengkai Zhang, Xiaofeng Liu, Wei dong Shandong University of Science and Technology Qingdao266590 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China Information and Communication Company State Grid Shandong Electric Power Company Jinan250013 China Qingdao Yihe Electric Group Co. Ltd. Qingdao266510 China

ISBN: (纸本)9789819616701

A prediction method of distributed photovoltaic accommodation capability is proposed based on ridge regression. First, the factors influencing the distributed photovoltaic accommodation capacity are analyzed, and the concept of the contribution degree of distributed photovoltaic accommodation is introduced. The gray relation analysis method is used to evaluate the correlation between different factors and distributed photovoltaic accommodation, and a model of factors affecting distributed photovoltaic accommodation is constructed. Then, a prediction model of distributed photovoltaic accommodation capability is established based on ridge regression. The factors with high photovoltaic accommodation contribution degrees are incorporated in the prediction model. The mapping relationship between the driving factors of distributed photovoltaic accommodation and the prediction model is derived, then the development strategies for future photovoltaic accommodation capacity are formulated. Finally, simulation is performed on the SPSSPRO platform, and the results show that the proposed method can predict the distributed photovoltaic accommodation capability accurately and provide strategic suggestions for improving future photovoltaic accommodation capacity. © State Grid Electric Power 2025.

关键词： Photovoltaics

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Simulation Modeling and Simulation Verification of Dual-Excited Synchronous Generator 4

Simulation Modeling and Simulation Verification of Dual-Exci...

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4th IEEE New Energy and Energy Storage system control Summit Forum, NEESSC 2024

作者： Chen, Liheng Xu, Qipin Shi, Yuantao Yang, Ling Zhang, Jiancheng Zhu, Hongchao NARI Nanjing Control System Co. Ltd. NARI Technology Co. Ltd. NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Zhejiang Electric Power Co. Ltd. Electric Power Research Institute Hangzhou China

ISBN: (纸本)9798350389012

The dual-excited synchronous generator has two sets of independently adjustable excitation windings. This unique rotor structure makes it have better stability than the single-excited synchronous generator. However, as the most widely used simulation software, the MATLAB/Simulink platform does not have a corresponding dual-excited synchronous generator simulation model. In order to carry out relevant research work in the MATLAB/Simulink platform, it is necessary to establish a simulation model of the dual-excited synchronous generator and directly verify the correctness of this simulation model from the simulation model level. Based on the establishment of the dual-excited synchronous generator simulation model, this paper compares the simulation results of the no-load test and short-circuit test of the single-excited synchronous generator and the dual-excited synchronous generator, and illustrates the correctness of the dual-excited synchronous generator simulation model from the simulation level. The research results can increase the credibility of the dual-excited synchronous generator simulation model in the MATLAB/Simulink platform and lay the foundation for its in-depth research. © 2024 IEEE.

关键词： Synchronous generators

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Edge-guided image estimation for array Gm-APD Lidar in smoky environment using multi-scale depth images 6

Edge-guided image estimation for array Gm-APD Lidar in smoky...

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6th Optics Young Scientist Summit, OYSS 2023

作者： Zhang, Yinbo Li, Sining Sun, Jianfeng Jiang, Peng Zhang, Hailong Liu, Zhihui Zhu, Yuebing National Key Laboratory of Science and Technology on Tunable Laser Institute of Opto-Electronic Harbin Institute of Technology Heilongjiang Harbin150001 China Zhengzhou Research Institute of Harbin Institute of Technology Henan Zhengzhou450000 China Science and Technology on Complex System Control Intelligent Agent Cooperation Laboratory Beijing100074 China Sichuan Jiuzhou Electrical Group Company Limited Sichuan Mianyang621000 China

ISBN: (纸本)9781510672642

Limited statistical frame number and strong backscatter interference from smoke result in a photon-starved regime, severely limiting the depth imaging capability of array Gm-APD lidar in smoky environment. Here, we propose a depth image estimation algorithm that can significantly improve the integrity of targets in dense smoke environments when signal photons are starved. At the signal level, the algorithm improves the accuracy of extracting signal photons by constructing multi-scale superpixels. At the image level, using edge information of depth images at different scales to guide and fill the original scale depth image achieves efficient noise reduction and improves target integrity. It has been successfully demonstrated under different attenuation lengths and statistical frame numbers. Compared with other state-of-the-art methods, the proposed algorithm has maximum target recovery and structural similarity, especially for the attenuation length (AL) is 3.6 and statistical frame number is 1500 (imaging time is 75ms). This study is of great significance for the fast depth imaging of dynamic targets by array Gm-APD lidar in dense smoke environments. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Optical radar

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Synergia Evaluation of Multi-type Rail Transit Operation Oriented to the Four-Railway-Network Integration 1

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6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Liu, Gehui Liu, Ling Liu, Jun Li, Qing Zhang, Huiru Beijing National Railway Research & Design Institute of Signal & Communication Group Co. Ltd. Beijing100070 China Beijing Engineering Technology Research Center of Operation Control System for High Speed Railways Beijing100070 China Beijing Mass Transit Railway Operation Co. Ltd. Beijing100044 China

ISBN: (数字)9789819993116

ISBN: (纸本)9789819993109

The four-railway-network integration is the policy guidance of multi-type rail transit for intensive resource usage, transportation efficiency enhancement, and regional society and economy development. The synergia improvement concerning multi-type rail transit is an important rising of the service level of regional rail transit system and guidance for urbanization progress. Based on the summary of the current status and policy directions of the synergetic development, the concept and key indicators evaluating the degree of synergia are introduced. Four main synergetic patterns are distinguished referring to the typical cases, including independent operation, passenger service integration, cross-line operation, and regional coordination. Detailed patterns and evaluation indicators with respect to the passenger service integration and cross-line operation are further put forward respectively according to the improvement of passenger service and the difficulty of connection implementation. The proposed theoretical methods and indicators provide the firm support and active reference for the synergetic development of multi-type rail transit systems. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Rails

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