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2022 Asia Power and Electrical technology Conference, APET 2022

作者： Shan, Yinghao Ma, Liqian Liu, Huashan Hu, Jiefeng Donghua University College of Information Science and Technology Shanghai China Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Shanghai China Federation University Australia Centre for New Energy Transition Research Institute of Innovation Science and Sustainability Ballarat Australia Federation University Australia Future Regions Research Centre Ballarat Australia

ISBN: (纸本)9781665453349

To meet future practical needs of smart grids, constructing hybrid ac&dc microgrids with the two-type sub-grids becomes more realistic and urgent. However, in the existing literature, it is rare to see the joint controls of these sub-grids in islanded hierarchical control architecture. To this end, a coordinated hierarchical control strategy for this kind of hybrid microgrid has been presented in this paper, where both sub-grids are equipped with primary and secondary controllers. Using the proposed strategy, the power flows can be autonomously shared and deviated bus voltages can be fully restored. The control performance and stability of the overall microgrid system have been ensured to address different ac/dc load changes. Comprehensive simulation studies have verified the validity of the proposed strategy for hybrid microgrids. © 2022 IEEE.

关键词： Microgrids

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Fractal-based combined kernel function model for the polyester polymerization process

Fractal-based combined kernel function model for the polyest...

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第33届中国控制与决策会议

作者： Junxian Geng Lei Chen Kuangrong Hao Hengqian Wang Engineering Research Center of Digitized Textile&Apparel Technology Ministry of EducationCollege of Information Science and TechnologyDonghua University

The polymerization process plays a significant role in polyester production,and the melt intrinsic viscosity is an important indicator of product *** paper introduced the fractal dimension feature selection method and combined the kernel function model based on STL decomposition(Seasonal-Trend decomposition procedure based on Loess) for the polyester polymerization *** fractal dimension is used to analyze the spatial characteristics of the data and select features to construct the feature space,and the STL decomposition is used to analyze the time characteristics of the data to construct the combined kernel *** two methods are combined with Gaussian process regression model,and the simulation experiment of industrial data shows the effectiveness of the proposed algorithm.

关键词： Fractal dimension STL decomposition Combined kernel function GPR Melt intrinsic viscosity

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Wind Turbine Integrated Hybrid Microgrids with Stable Voltage Supply under Islanded and Grid- connected Modes

Wind Turbine Integrated Hybrid Microgrids with Stable Voltag...

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Chinese Automation Congress (CAC)

作者： Yinghao Shan Xiangkai Yu Bo Shen College of Information Science and Technology Donghua University Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Shanghai China

Wind turbine, as one of the common renewable energy generations, is an important distributed generation type for microgrids. However, it often presents large inertia and is difficult to be stably controlled in microgrid systems. Currently, on one hand, regarding renewable energy generation, it is still rare to see the configuration of only wind turbine integrated ac/dc hybrid microgrids. On the other hand, the voltage supply quality is also less concerned in the above-mentioned microgrids. Therefore, to fill these gaps, this paper builds and studies an ac/dc hybrid microgrid integrated with wind turbines. Besides, the energy storage devices are coordinated to facilitate stable and steady ac/dc voltage supplies, where the output voltage of the wind turbine is strongly addressed. The microgrid can operate in both islanded and grid-connected modes, ensuring a smooth voltage connection to the main grid. Comprehensive case researches have been undertaken to verify the feasibility and effectiveness of the microgrid system and its control strategy.

关键词： Performance evaluation Renewable energy sources Microgrids Control systems Electrostatic discharges Hybrid power systems Real-time systems

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Multi-robot formation tracking algorithm and implementation

Multi-robot formation tracking algorithm and implementation

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2021 China Automation Congress, CAC 2021

作者： Ma, Zhihao Qi, Jie Dong, Yuqin College of Information Science and Technology Donghua University Shanghai China College of Information Science and Technology Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai China

ISBN: (纸本)9781665426473

We introduce a formation tracking algorithm of multi-robot system based on a partial differential equation (PDE) model, which allows robots to keep a desire formation while moving around the orbit. We discretize the PDE model to get a leader-follower distributed control law, in which the follower robots just need to know their neighbors' position. And then, we design an experiment to verify the formation tracking algorithm. In the experiment, Kalman filter is used to enhance the accuracy of the positioning, and model predictive control is used to realize the movement control of each robot. During the movement control, we apply the artificial potential field approach to realize obstacle avoidance. © 2021 IEEE

关键词： Kalman filters

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DSML-YOLO: A Fast and Lightweight Underwater Object Detection Model Based on Sonar Images

DSML-YOLO: A Fast and Lightweight Underwater Object Detectio...

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Software engineering and Artificial Intelligence (SEAI), IEEE International Conference on

作者： Guangyu Li Xiaofei Liao Yan Jin Bohang Chao College of Information Science and Technology Donghua University Shanghai China College of Information Science and Technology Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Donghua University Shanghai China School of Medicine Hangzhou City University Hangzhou China

ISBN: (数字)9798350374346

ISBN: (纸本)9798350374353

With the growing demand for underwater environment monitoring and the limited conditions of underwater equipment, lightweight and fast underwater object detection algorithms based on forward-looking sonar images have become a research focus. This paper proposes a new efficient, lightweight, and fast deep learning model named DSML-YOLO. We significantly reduce the model's parameters and computational cost by introducing the Depthwise Separable Convolution Block(DSC Block). At the same time, we have added the Simple Attention Module (SimAM) to enhance the model's focus on underwater objects and reduce the interference of background noise. In addition, this paper also proposes a new feature extraction module, Minimum CSPDarknet53 to 2-Stage FPN(MinC2f), to further improve detection speed. Finally, we replaced the original SPPF with a new Lightweight Spatial Pyramid Pooling Fast module (LSPPF) to complete the model's lightweight and ac-celerated improvements. Experimental results show that DSML-YOLO's GFLOPs are reduced by 29.6%, Parameters by 42.85%, and Infertime by 38.55 % compared to the baseline model. In addition, FPS increased by 27.12%, and mAP increased by 1.2%. This proves that DSML-YOLO can be widely applied to sonar image underwater object detection with limited experimental conditions.

关键词： Adaptation models Convolution Computational modeling Object detection Interference Feature extraction Computational efficiency

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research on Digital Identification of Garment Pieces Based on Contour Fitting Algorithm

Research on Digital Identification of Garment Pieces Based o...

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International Conference on Intelligent System and Knowledge engineering, ISKE

作者： Jiahe Xue Cheng Chi Zheng Wang Shichen Yang Xuewei Jiang Wuhan Textile and Apparel Digital Engineering Technology Research Center School of Fashion Wuhan Textile University Wuhan China School of Fashion Wuhan Textile University Wuhan China School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

To help designers analyze the pattern shape of ethnic clothing and obtain its size parameters more conveniently, the contour fitting algorithm was proposed. This algorithm realizes the digital recognition and simulation of complex garment pieces, which combines image edge detection, Fourier descriptor reshaping, garment piece corner point detection, Bezier curve fitting and gradient descent. Compared with the traditional method, the garment piece corner point detection can effectively circumvent the noise generated by the threads of the garment piece. The gradient descent method improved the accuracy of contour fitting by adjusting the control points of Bezier curve. The accuracy of this method was compared the manual method for garment piece size measurement of Mongolian garments. The results show that the errors measured by the algorithm ranged from 0.06 to 0.18 cm, and their average error (0.12 xm) is close to the manual measured error (0.13 cm), This algorithm is in accordance with the GB/T 2660–2017 and can be applied to ethnic clothing restoration design.

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An Adaptive MPC Trajectory Tracking Algorithm For Autonomous Vehicles

An Adaptive MPC Trajectory Tracking Algorithm For Autonomous...

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International Conference on Computational Intelligence and Security

作者： Ge Chang Qian Suqin Ministry of Education College of Information Science and Technology Engineering Research Center of Digitized Textile & Apparel Technology Donghua University Shanghai China

ISBN: (纸本)9781665494908

An adaptive trajectory tracking control algorithm based on the vehicle dynamics model and model predictive control (MPC) is designed to improve the accuracy of trajectory tracking and the ride comfort and vehicle stability of the driver. The algorithm is mainly due to the different changes of transverse speed and longitudinal speed under different road conditions. The weight coefficient matrix in model predictive control is optimized in real-time and online through fuzzy control so that the controller can quickly reduce the tracking error and ensure the accuracy of track tracking when the tracking track changes greatly. When the tracking track changes little, it can reduce the change of the front wheel angle of the vehicle, ensure the stability of the vehicle and improve the comfort of passengers. The results show that the controller can update the weight coefficient in real-time with the change of vehicle speed, and improve the accuracy and stability of vehicle trajectory tracking.

关键词： Fuzzy control Trajectory tracking Roads Heuristic algorithms Wheels Prediction algorithms Stability analysis

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Human Machine Interface with Wearable Electronics Using Biodegradable Triboelectric Films for Calligraphy Practice and Correction

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Nano-Micro Letters 2022年第12期14卷 630-644页

作者： Shen Shen Jia Yi Zhongda Sun Zihao Guo Tianyiyi He Liyun Ma Huimin Li Jiajia Fu Chengkuo Lee Zhong Lin Wang Jiangsu Engineering Technology Research Center for Functional Textiles Jiangnan UniversityNo.1800 Lihu AvenueWuxiP.R.China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083P.R.China China National Textile and Apparel Council Key Laboratory of Natural Dyes Soochow UniversitySuzhou 215123People’s Republic of China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

Letter handwriting,especially stroke correction,is of great importance for recording languages and expressing and exchanging ideas for individual behavior and the *** this study,a biodegradable and conductive carboxymethyl chitosan-silk fibroin(CSF)film is prepared to design wearable triboelectric nanogenerator(denoted as CSF-TENG),which outputs of V_(oc)≈165 V,I_(sc)≈1.4μA,and Q_(sc)≈72 mW cm^(−2).Further,in vitro biodegradation of CSF film is performed through trypsin and *** results show that trypsin and lysozyme have stable and favorable biodegradation properties,removing 63.1%of CSF film after degrading for 11 ***,the CSF-TENG-based human-machine interface(HMI)is designed to promptly track writing steps and access the accuracy of letters,resulting in a straightforward communication media of human and *** CSF-TENG-based HMI can automatically recognize and correct three representative letters(F,H,and K),which is benefited by HMI system for data processing and *** CSF-TENG-based HMI can make decisions for the next stroke,highlighting the stroke in advance by replacing it with red,which can be a candidate for calligraphy practice and ***,various demonstrations are done in real-time to achieve virtual and real-world controls including writing,vehicle movements,and healthcare.

关键词： Letter handwriting Triboelectric nanogenerator Biodegradable Human-machine interface Calligraphy practice

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Maximum Channel Access Probability Based on Post-Disaster Ground Terminal Distribution Density 9th

Maximum Channel Access Probability Based on Post-Disaster Gr...

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9th International Conference on Computational Data and Social Networks, CSoNet 2020

作者： Hu, Xingxing Li, Demin Guo, Chang Hu, Wei Zhang, Lei Zhai, Menglin College of Information Science and Technology Donghua University Shanghai201620 China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai201620 China

ISBN: (纸本)9783030660451

In post-disaster relief, how to design an efficient emergency communication system (ECS) to provide emergency communication service and improve channel access probability still remains a challenge. In this paper, we use Thomas cluster process (TCP) to model the locations of ground terminals (GT) and propose a new scheme to maximize channel access probability. The proposed emergency communication infrastructure includes a hovering helicopter and a Unmanned Aerial Vehicle (UAV) to provide communication service for GTs. Different from the existed work, an adaptive speed cruise model is proposed for the UAV depending on distribution density of GTs. Then, an efficient dynamic channel resource schedule method is proposed for system with limited channel resource. The channel access probability is formed as non convex optimization problem. The original non-convex optimization problem is transferred into a convex problem by analyzing objective function. An interior-point method is adopted to solve this problem. Extensive simulations are performed to evaluate the model by optimizing the UAV speed in different regions. The results show that the proposed new scheme outperforms the one with constant cruise speed for UAV and static scheduling for channel resource allocation. © 2020, Springer Nature Switzerland AG.

关键词： Antennas

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PDE-based Multi-agent Deployment in 3-D Space via Bilateral Boundary control

PDE-based Multi-agent Deployment in 3-D Space via Bilateral ...

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2021 China Automation Congress, CAC 2021

作者： Chen, Yanmei Qi, Jie Yang, Liu School of Information Science and Technology Donghua University Shanghai201620 China School of Information Science and Technology Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai201620 China

ISBN: (纸本)9781665426473

In this paper, the problem of dynamic deployment control for a large scale multi-agent system (MAS) in 3-D space is studied. We describe collective dynamics by a pair of thermal diffusion partial differential equations (PDEs) which are defined in a 2-D symmetry plane, and this plane allows a leader-follower meshgrid communication topology of the MAS. We apply a bilateral boundary control law, so that the agents located on the upper and lower boundaries are leaders which drive the system from two sides. The H2 exponential stability proves the stability of the system. Simulation results verify that the MAS with the bilateral control shows better performance at the settling time compared to the MAS with single boundary control. © 2021 IEEE

关键词： Multi agent systems

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