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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Qu, Xiaowei Dai, Yuting Li, Zhimin Lyu, Pin Lai, Jizhou Navigation Research Center College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211100 China Key Laboratory of Internet of Things and Control Technology in Jiangsu Province Nanjing University of Aeronautics and Astronautics Nanjing211100 China

ISBN: (纸本)9789811966125

The operation safety of the civil aircraft at plateau airports is a hot topic in civil aviation. In the terminal area of plateau airports, the navigation performance of the aircraft is easily affected by complex terrain and varied climate, and the single sensor’s altitude information is unreliable, which threatens flight safety. Therefore, in order to guarantee the safety and reliability of civil aircrafts in vertical direction under the complex environment, this paper constructed a unified model of altitude datum for heterogeneous sensors and proposed a relative/absolute altitude fusion method based on terrain state recurrence and barometric altitude assistance. It sets terrain height to a state and integrates atmospheric data system and radio altimeter with inertial navigation system simultaneously, which improves the vertical accuracy and estimates the terrain height effectively. In conclusion, this method can ensure the vertical safety of the civil aircraft flying under the complex environment of plateau airports. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Airports

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LiDAR-Based Autonomous Exploration Using Local and Global RRT for MAV

LiDAR-Based Autonomous Exploration Using Local and Global RR...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Zou, Bingqian Lai, Jizhou Lyu, Pin Fang, Wei Navigation Research Center College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211100 China Key Laboratory of Internet of Things and Control Technology in Jiangsu Province Nanjing University of Aeronautics and Astronautics Nanjing211100 China

ISBN: (纸本)9789811581540

Exploring and mapping an unknown space is a fundamental task for autonomous robots. Various exploration planners employ the scheme which directing the robots to the frontiers. Frontiers are the boundaries between the known and unknown space. This paper presents a new exploring strategy based on local and global Rapidly-exploring Random Trees (RRTs) for frontier detecting. The global RRT starts from the starting position and extends outwards looking for frontiers. The local RRT starts from the position of the MAV. It resets the local tree while finding the frontier and output the desired path for MAV. The proposed exploring planner can find frontiers faster and the global tree ensures the complete exploration results. The proposed planner is capable of running online. It is implemented and tested on the GAZEBO with a PX4 quadrotor. For future effort, it can be extended to multi-agent systems. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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The Design of the Auxiliary Power Module for Magnetically Compressed Plasma Fusion 6

The Design of the Auxiliary Power Module for Magnetically Co...

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6th International Conference on Electronics technology, ICET 2023

作者： Weng, Zhiyuan Lu, Huacai Fang, Jie Weng, Zhigang West Anhui University School of Electrical and Optoelectronic Engineering Lu-an Anhui China Key Laboratory of Electric Drive and Control of Anhui Province Wuhu241000 China Intelligent Equipment and Internet of Things Lu'an Technology Innovation Center Lu-an Anhui China

ISBN: (纸本)9798350337693

In order to improve the operating parameters of plasma in Tokamak, operating at high density, high temperature and high beta, it has proved that the magnetically compressed plasma is one of the effective methods. In this paper, the topology of high frequency and high power auxiliary power supply system supplied by MC coil in EAST vacuum chamber is presented. The power supply system is composed of several power modules in parallel, which is realized by a series resonant full bridge circuit, and is controlled by current closed loop proportional integral control pulse width modulation. In addition, the model of the converter is simulated and analyzed, and the performance and control of the converter are verified by the test prototype. The efficiency of the power supply is effectively improved by the zeroswitching technology. © 2023 IEEE.

关键词： Pulse width modulation

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Hybrid Fuzzy Logic control Scheme of the PEM Fuel Cell Air Feed System

Hybrid Fuzzy Logic Control Scheme of the PEM Fuel Cell Air F...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Zhu, Jing Wu, Kang Jiang, Bin College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Ministry of Industry and Information Technology Jiangsu Key Laboratory of Internet of Things and Control Technologies Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9789811581540

The primary control task of a proton exchange membrane (PEM) fuel cell air feed system is to regulate the oxygen excess ratio (OER). A new hybrid fuzzy logic control (FLC) scheme is proposed in this paper to drive OER to the desired value, thus the oxygen starvation is effectively avoided. The hybrid controller consists of the fuzzy logic controller, the fuzzy self-tuning (FST) PID controller and the switching system, where the optimal controller is selected in real-time by the switching system upon the tracking error of OER. The proposed hybrid FLC scheme demonstrates the advantages of quick response and high tracking accuracy. Moreover, it is also applicable to PEM fuel cell systems with fluctuating stack current and air leakage fault. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： controllers

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Influence of contact layer on the sulphur corrosion of copper conductors in power transformers

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High Voltage 2022年第1期7卷 176-184页

作者： Lijun Yang Dong Ding Yuan Yuan Sihang Gao Yuncai Lu State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina College of Material Science and Engineering Chongqing UniversityChongqingChina Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqingChina State Grid Jiangsu Electric Power Co. Ltd.Electric Power Research InstituteNanjingChina

Owing to the corrosive sulphides in the mineral insulating oil such as dibenzyl disul-phide(DBDS),copper windings in oil‐immersed transformers may suffer sulphur *** study investigates the influence of different contact conditions on the corrosion of copper conductors in ***‐immersed accelerated corrosion experiment was conducted on copper conductors with various contact materials and different layers of insulating *** surface micromorphology,deposition compo-nent and the potentiodynamic polarization characteristics of copper conductors were *** results show that copper with different contact materials suffer sulphur corrosion;conversely,bare copper rarely *** was also verified that the existence of a particular gap between copper and contact layer is a significant factor in sulphur corrosion by the formation of a concentration cell on the copper *** insu-lating paper wrapped around copper conductors does not increase the corrosion ten-dency of copper;however,it contributes to the formation of a region concentrated with DBDS,Cu^(2+),H^(+)by adsorption and impediment,which plays a key role in facilitating the sulphur corrosion of copper ***,sulphur corrosion can also occur on other metal parts in transformers when there is a particular gap on surfaces other than copper.

关键词： corrosion copper sulphur

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Sika Deer Behavior Recognition Based on Machine Vision

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Computers, Materials & Continua 2022年第12期73卷 4953-4969页

作者： He Gong Mingwang Deng Shijun Li Tianli Hu Yu Sun Ye Mu Zilian Wang Chang Zhang Thobela Louis Tyasi Jilin Agricultural University Changchun130118China Wuzhou University Wuzhou543000China Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center Changchun130118China Jilin Province Intelligent Environmental Engineering Research Center Changchun130118China Department of Agricultural Economics and Animal Production University of LimpopoSovenga0727PolokwaneSouth Africa Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543000China

With the increasing intensive and large-scale development of the sika deer breeding industry,it is crucial to assess the health status of the sika deer by monitoring their behaviours.A machine vision-based method for the behaviour recognition of sika deer is proposed in this *** Inception Net(GoogLeNet)is used to optimise the model in this ***,the number of layers and size of the model were ***,the 5×5 convolution was changed to two 3×3 convolutions,which reduced the parameters and increased the nonlinearity of the model.A 5×5 convolution kernel was used to replace the original convolution for extracting coarse-grained features and improving the model’s extraction ability.A multi-scale module was added to the model to enhance the multi-faceted feature extraction capability of the ***,the Squeeze-and-Excitation Networks(SE-Net)module was included to increase the channel’s attention and improve the model’s *** dataset’s images were rotated to reduce *** image rotation,the angle wasmultiplied by 30°to obtain the dataset enhanced by rotation operations of 30°,60°,90°,120°and 150°.The experimental results showed that the recognition rate of this model in the behaviour of sika deer was 98.92%.Therefore,the model presented in this paper can be applied to the behaviour recognition of sika *** results will play an essential role in promoting animal behaviour recognition technology and animal health monitoring management.

关键词： Behaviour recognition SE-Net module multi-scale module improved Inception module

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control design under attacks of multi-agent switched systems via arbitrary switching

Control design under attacks of multi-agent switched systems...

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2022 Chinese Automation Congress, CAC 2022

作者： Li, Zhanjie Ma, Yajing Nanjing University of Posts and Telecommunications Institute of Advanced Technology for Carbon Neutrality Nanjing China Sichuan Xihua University Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology Chengdu China School of Internet of Things Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781665465335

In this paper, the consensus control against attacks for a type of nonlinear multi-agent switched systems under arbitrary switching is studied. The attacks corrupt the information data, which cannot be used for the feedback design. Meanwhile, the switching logic is not allowed to be designed. To tackle the complicated effects, some intermediate variables and adaptive laws are introduced to compensate the uncertainties. By constructing a common Lyapunov function, an adaptive protocol is proposed such that the outputs of the agents achieve consensus against attacks under arbitrary switching. © 2022 IEEE.

关键词： Multi agent systems

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GPP estimation of a grassland ecosystem based on photosynthesis-hydrology coordination optimization

GPP estimation of a grassland ecosystem based on photosynthe...

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2024 China Automation Congress, CAC 2024

作者： Fu, Lijiang Tan, Jinglu Jiang, Yongnian Allakhverdiev, Suleyman I. Xu, Zhenyu Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri ColumbiaMO United States Jiangsu Zhongnong IoT Technology Co. LTD Yixing China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China

ISBN: (纸本)9798350368604

Accurate estimation of gross primary production (GPP, ecosystem level photosynthesis) is critical for monitoring terrestrial ecosystems. However, most of the current models used for GPP estimation are with many unknown parameters and rarely include the effects of soil water stress due to the covariation of soil moisture and air humidity. In addition, grasslands, as the most widely distributed ecosystems in the world, have simple ecosystem structure and are easily affected by soil drought. Therefore, in this paper, we applied photosynthesis-hydrology coordination optimization theory and soil water potential based on soil moisture effect to develop a combined model (PH model) for GPP estimation of grassland ecosystems and used the US-Var grassland ecosystem, one of the FLUXNET sites from January to July 2004 (the driest period in recent years) as an example to validate the model. The results show that the model can effectively track the measured GPP during soil drought period and is better than the result from another commonly used photosynthesis coordination model (P-model) which does not consider the effect of soil drought. Further, we can infer the vegetation photosynthetic capacity parameters including the maximum carboxylation capacity (Vcmax) and the maximum electron-transport capacity (Jmax) under the effect of soil drought. The result also shows that if soil drought is not considered, the photosynthetic capacity parameters of vegetation will be overestimated. These results provide evidence for the application of photosynthesis-hydrology coordination theory in the assessment of ecosystem carbon cycle under the intensified climate changes. © 2024 IEEE.

关键词： coordination optimization theory GPP estimation soil drought

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Segmentation of Remote Sensing Images Based on U-Net Multi-Task Learning

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Computers, Materials & Continua 2022年第11期73卷 3263-3274页

作者： Ni Ruiwen Mu Ye Li Ji Zhang Tong Luo Tianye Feng Ruilong Gong He Hu Tianli Sun Yu Guo Ying Li Shijun Thobela Louis Tyasi College of Information Technology Jilin Agricultural UniversityChangchun130118China Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center Changchun130118China Jilin Province Intelligent Environmental Engineering Research Center Changchun130118China Jilin Province Information Technology and Intelligent Agriculture Engineering Research Center Changchun130118China College of Information Technology Wuzhou UniversityWuzhou543003China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543003China Department of Agricultural Economics and Animal Production University of LimpopoSovengaPolokwane0727South Africa

In order to accurately segment architectural features in highresolution remote sensing images,a semantic segmentation method based on U-net network multi-task learning is ***,a boundary distance map was generated based on the remote sensing image of the ground truth map of the *** remote sensing image and its truth map were used as the input in the U-net network,followed by the addition of the building ground prediction layer at the end of the U-net *** on the ResNet network,a multi-task network with the boundary distance prediction layer was *** involving the ISPRS aerial remote sensing image building and feature annotation data set show that compared with the full convolutional network combined with the multi-layer perceptron method,the intersection ratio of VGG16 network,VGG16+boundary prediction,ResNet50 and the method in this paper were increased by 5.15%,6.946%,6.41%and 7.86%.The accuracy of the networks was increased to 94.71%,95.39%,95.30%and 96.10%respectively,which resulted in high-precision extraction of building features.

关键词： Multitasking learning U-net ResNet remote sensing image semantic segmentation

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Sika Deer Facial Recognition Model Based on SE-ResNet

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Computers, Materials & Continua 2022年第9期72卷 6015-6027页

作者： He Gong Lin Chen Haohong Pan Shijun Li Yin Guo Lili Fu Tianli Hu Ye Mu Thobela Louis Tyasi College of Information Technology Jilin Agricultural UniversityChangchun130118China College of Electronic and Information Engineering Wuzhou UniversityWuzhou543003China Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center Changchun130118China Jilin Province Intelligent Environmental Engineering Research Center Changchun130118China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543003China Department of Agricultural Economics and Animal Production University of Limpopo0727PolokwaneSouth Africa

The scale of deer breeding has gradually increased in recent years and better information management is necessary,which requires the identification of individual *** this paper,a deer face dataset is produced using face images obtained from different angles,and an improved residual neural network(ResNet)-based recognition model is proposed to extract the features of deer faces,which have high *** model is based on ResNet-50,which reduces the depth of the model,and the network depth is only 29 layers;the model connects Squeeze-and-Excitation(SE)modules at each of the four layers where the channel changes to improve the quality of features by compressing the feature information extracted through the entire layer.A maximum pooling layer is used in the ResBlock shortcut connection to reduce the information loss caused by messages passing through the *** Rectified Linear Unit(ReLU)activation function in the network is replaced by the Exponential Linear Unit(ELU)activation function to reduce information loss during forward propagation of the *** preprocessed 6864 sika deer face dataset was used to train the recognition model based on SEResnet,which is demonstrated to identify individuals *** setting up comparative experiments under different structures,the model reduces the amount of parameters,ensures the accuracy of the model,and improves the calculation speed of the *** the improved method in this paper to compare with the classical model and facial recognition models of different animals,the results show that the recognition effect of this research method is the best,with an average recognition accuracy of 97.48%.The sika deer face recognition model proposed in this study is *** results contribute to the practical application of animal facial recognition technology in the breeding of sika deer and other animals with few distinct facial features.

关键词： Sika deer facial recognition model ResNet-50 se module shortcut connection ELU

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