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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lyu, Xiaofan Wang, Pingjiang Gao, Chaoyang Zhao, Donglin Wei, Peng Luo, Wenbin Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Quanzhou Hust Research Institute of Intelligent Manufacturing QuanZhou China Huazhong University of Science and Technology National Numerical Control System Engineering Research Center Wuhan China

ISBN: (纸本)9798350391916

Aiming at the flexibility and reconfigurability needs for fatigue test applications, the demand for a PLCopen-based development framework arises. In this study, we utilize the IEC 61131-3 programmable language and PLCopen specifications to design the controller for electro-hydraulic servo loading system. Firstly, PLCopen group function block diagrams are proposed in accordance with experiments. Multiple groups can manage different experiments simultaneously. Then, PLCopen channel function block diagrams are designed to manage district channels in a group. To correct tracking errors, each channel incorporates a peak-valley phase compensator. Peak-valley phase compensator could potentially be used to adjust for multi-frequency sinusoidal spectrum. Finally, simulation and experiment results verify that tracking error could be kept within a defined neighbourhood region. © 2024 IEEE.

关键词： Fatigue testing

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In-situ coupling construction of interface bridge to enhance electrochemical stability of all solid-state lithium metal batteries

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Journal of Energy Chemistry 2024年第2期89卷 18-26,I0003页

作者： Qianwei Zhang Rong Yang Chao Li Lei Mao Bohai Wang Meng Luo Yinglin Yan Yiming Zou Lisheng Zhong Yunhua Xu International Research Center for Composite and Intelligent Manufacturing Technology Institute of Chemical Power SourcesXi’an University of TechnologyXi’an 710048ShaanxiChina School of Materials Science and Engineering Xi’an University of TechnologyXi’an 710048ShaanxiChina School of Electrical Engineering Xi’an University of TechnologyXi’an 710048ShaanxiChina Yulin University Yulin 719000ShaanxiChina

Polymer-based composite electrolytes composed of three-dimensional Li_(6.4)La_(3)Zr_(2)Al_(0.2)O_(12)(3D-LLZAO)have attracted increasing attention due to their continuous ion conduction and satisfactory mechanical ***,the organic/inorganic interface is incompatible,resulting in slow lithium-ion transport at the ***,the compatibility of organic/inorganic interface is an urgent problem to be *** by the concept of“gecko eaves”,polymer-based composite solid electrolytes with dense interface structures were *** bridging of organic/inorganic interfaces was established by introducing silane coupling agent(3-chloropropyl)trimethoxysilane(CTMS)into the PEO-3D-LLZAO(PL)*** in-situ coupling reaction improves the interface affinity,strengthens the organic/inorganic interaction,reduces the interface resistance,and thus achieves an efficient interface ion transport *** prepared PEO-3D-LLZAO-CTMS(PLC)electrolyte exhibits enhanced ionic conductivity of 6.04×10^(-4)S cm^(-1)and high ion migration number(0.61)at 60℃and broadens the electrochemical window(5.1 V).At the same time,the PLC electrolyte has good thermal stability and high mechanical ***,the Li Fe PO_(4)|PLC|Li battery has excellent rate performance and cycling stability with a capacity decay rate of 2.2%after 100 cycles at 60℃and 0.1 *** advantages of PLC membranes indicate that this design approach is indeed practical,and the in-situ coupling method provides a new approach to address interface compatibility issues.

关键词： Organic/inorganic interphase Coupling effect Composite electrolyte Interface compatibility

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CNN demodulation model with cascade parallel crossing for CPM signals

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The Journal of China Universities of Posts and Telecommunications 2024年第3期31卷 30-42页

作者： Yang Jiachen Duan Ruifeng Li Chengju School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China

The continuous phase modulation(CPM)technique is widely used in range telemetry due to its high spectral efficiency and power ***,the demodulation performance of the traditional maximum likelihood sequence detection(MLSD)algorithm significantly deteriorates in non-ideal synchronization or fading *** address this issue,this work proposes a convolutional neural network(CNN)called the cascade parallel crossing network(CPCNet)to enhance the robustness of CPM signals *** CPCNet model employs a multiple parallel structure and feature fusion to extract richer features from CPM *** approach constructs feature maps at different levels,resulting in a more comprehensive training of the model and improved demodulation *** results show that under Gaussian channel,the proposed CPCNet achieves the same bit error rate(BER)performance as MLSD method when there is no timing error,but with 1/4 symbol period timing error,the proposed method has 2 dB demodulation gain compared with CNN and convolutional long short-term memory deep neural network(CLDNN).In addition,under Rayleigh channel,the BER of the proposed method is reduced by 5%-87%compared to that of MLSD in the wide signal-to-noise ratio(SNR)region.

关键词： continuous phase modulation(CPM) convolutional neural network(CNN) maximum likelihood sequence detection(MLSD) Rayleigh fading timing error

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Effect of lateral stress on frictional properties of a fracture in sandstone

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Journal of Rock Mechanics and Geotechnical engineering 2024年第11期16卷 4416-4427页

作者： Zhechao Wang Jinmeng Zhao Derek Elsworth Xia-Ting Feng Pengyu Wang Institute of Deep Engineering and Intelligent Technology Northeastern UniversityShenyang110819China Liaoning Provincial Research Center on Underground Storage Engineering Shenyang110819China Energy and Mineral Engineering EMS Energy Institute and G3 CenterPennsylvania State UniversityUniversity Park16802USA

The injection of large volumes of natural gas into geological formations,as is required for underground gas storage,leads to alterations in the effective stress exerted on adjacent *** increases the potential for their reactivation and subsequent earthquake *** measurements of the frictional properties of rock fractures have been conducted under normal and shear ***,faults in gas storage facilities exist within a true three-dimensional(3D)stress state.A double-direct shear experiment on rock fractures under both lateral and normal stresses was conducted using a true triaxial loading *** was observed that the friction coefficient increases with increasing lateral stress,but decreases with increasing normal *** impact of lateral and normal stresses on the response is primarily mediated through their influence on the initial friction *** allows for an empirical modification of the rate-state friction model that considers the influence of lateral and normal *** impact of lateral and normal stresses on observed friction coefficients is related to the propensity for the production of wear products on the fracture *** stresses enhance the shear strength of rock(*** criterion).This reduces asperity breakage and the generation of wear products,and consequently augments the friction coefficient of the ***,increased normal stresses inhibit dilatancy on the fracture surface,increasing the breakage of asperities and the concomitant production of wear products that promote rolling *** ultimately reduces the friction coefficient.

关键词： Sandstone fracture Friction coefficient Lateral stress Normal stress Shear rate Rate-state friction model

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Anti-Disturbance Formation control of Quadrotor UAVs Based on Terminal Sliding Mode control

Anti-Disturbance Formation Control of Quadrotor UAVs Based o...

引用

2023 China Automation Congress, CAC 2023

作者： Xin, Ying Ni, Hao Huang, Zihao He, Yongning Xia, Sigang Shanghai Aerospace Control Technology Institute Intelligent Flight Control Technology Research and Development Center Shanghai China Shanghai Institute of Mechanical and Electrical Engineering Electrical System Laboratory Shanghai China

ISBN: (纸本)9798350303759

In this paper, the anti-disturbance formation flight control of quadrotor UAVs system is realized based on terminal sliding mode control. The generalized error state is designed for each quad-rotor UA V, based on which the formation control target is proposed. In order to achieve the goal of anti-disturbance formation control, a formation controller based on terminal sliding mode control is designed. Finally, the general error states of all quadrotor UAVs converge to zero to achieve the desired formation. Finally, a simulation example is given to verify the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Multi agent systems

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3D-printed MoS_(2)/Ni electrodes with excellent electro-catalytic performance and long-term stability for dechlorination of florfenicol

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Journal of Environmental Sciences 2024年第3期137卷 420-431页

作者： Jianhui Xu Pengxu Wang Shenggui Chen Lei Li Dan Li Yunfei Zhang Qi Wu Jinhong Fan LumingMa School of Environment and Civil Engineering Dongguan University of TechnologyDongguan 523808China School of Art and Design Guangzhou Panyu PolytechnicGuangzhou 511483China National Engineering Research Center for Urban Pollution Control State Key Laboratory of Pollution Control and Resources ReuseCollege of Environmental Science and EngineeringTongji UniversityShanghai 200092China Dongguan Institute of Science and Technology Innovation Dongguan University of TechnologyDongguan 523808China School of Mechanical Engineering Dongguan University of TechnologyDongguan 523808China

Here,we report the production of 3D-printed MoS_(2)/Ni electrodes(3D-MoS_(2)/Ni)with longterm stability and excellent performance by the selective laser melting(SLM)*** a cathode,the obtained 3D-MoS_(2)/Ni could maintain a degradation rate above 94.0%for forfenicol(FLO)when repeatedly used 50 times in *** also found that the removal rate of FLO by 3D-MoS_(2)/Ni was about 12 times higher than that of 3D-printed pure Ni(3D-Ni),attributed to the improved accessibility of H^(*).In addition,the electrochemical characterization results showed that the electrochemically active surface area of the 3D-MoS_(2)/Ni electrode is about 3-fold higher than that of the 3D-Ni electrode while the electrical resistance is 4 times *** on tert-butanol suppression,electron paramagnetic resonance and triple quadrupole mass spectrometer experiments,a“dual path”mechanism and possible degradation pathway for the dechlorination of FLO by 3D-MoS_(2)/Ni were ***,we also investigated the impacts of the cathode potential and the initial pH of the solution on the degradation of ***,this study reveals that the SLM 3D printing technique is a promising approach for the rapid fabrication of high-stability metal electrodes,which could have broad application in the control of water contaminants in the environmental field.

关键词： 3D-print Electroreduction MoS_(2)/Ni Antibiotic Florfenicol

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Online Aware Synapse Weighted Autoencoder for Recovering Random Missing Data in Wastewater Treatment Process

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第2期5卷 578-589页

作者： Han, Honggui Sun, Meiting Li, Fangyu Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing100124 China Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing100124 China

Missing values in wastewater treatment process (WWTP) data hinder the monitoring and prediction of operational status. Therefore, various online imputation methods have been proposed to recover missing values from streaming data collected from WWTP from real time. However, existing methods tend to ignore previous learned knowledge. In this article, an online aware synapse weighted autoencoder imputation method (OASI) is proposed to impute random missing values. First, an online stacked autoencoder (OSAE) framework is constructed to capture the nonlinear structure of the recently collected data. The framework decreases the computational and storage consumption of the model training. Second, an aware synapses weighted parameter regularization strategy is presented to guide the update of model parameters and alleviate the forgetting of historical information in an online continual setup. In this way, the learned features offer a more comprehensive representation of the overall information and help enhance imputation performance. Third, two real WWTP datasets with strong nonstationarity, high-noise level and high-dimensionality are used to validate the performance of the proposed OASI. Experimental results show that the proposed OASI achieves superior performances over the existing methods even in the presence of random missing values with different missing ratios, and only costs a short running time. © 2023 IEEE.

关键词： Real time systems

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Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability

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Energy and AI 2024年第4期18卷 53-63页

作者： Xiao-Ying Ma Wen-Ke Zhang Ying Yin Kailong Liu Xiao-Guang Yang National Engineering Research Center of Electric Vehicles School of Mechanical EngineeringBeijing Institute of TechnologyBeijing100081China Shenzhen Automotive Research Institute Beijing Institute of TechnologyShenzhen518118GuangdongChina School of Control Science and Engineering Shandong UniversityJinan250100China

Electrified transportation requires batteries with high energy density and high-rate capability for both charging and ***-ion batteries(LiBs)face a dilemma:increasing areal capacity and reducing electrode porosity to boost energy density often reduces rate capability due to a longer and more tortuous ion transfer *** cell design parameters to balance these metrics is essential but ***,we present a multi-objective optimization framework targeting energy density,fast charging,high-rate discharging,and lifespan *** cell parameters-cathode areal capacity,N-P ratio,cathode porosity,and anode poros-ity-along with operating temperature,are selected as design variables.A physics-based pseudo-2D model,validated against experimental data,generates data to train the surrogate model,which is combined with the NSGA-Ⅱalgorithm for rapid *** different objective calculation methods are compared to identify the maximum sum of energy densities,lowest polarization,and most balanced performance,*** design parameters are optimized at different temperatures using the most balanced optimization *** demonstrate that elevating cell operating temperature achieves high-rate capability while maintaining high energy density,mitigating the energy-power trade-off and broadening battery design parameter ranges.

关键词： Lithium-ion batteries Multi-objective optimization Battery design Fast charging Lithium plating

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Anomalous reflection and directional excitation of SPPs based on element additive metasurface 14

Anomalous reflection and directional excitation of SPPs base...

引用

14th International Photonics and Optoelectronics Meetings, POEM 2022

作者： Chen, Cong Liu, Hai Engineering Research Center of intelligent Control for Underground Space Ministry of education China University of Mining and Technology Xuzhou221116 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China

ISBN: (纸本)9781510664050

The efficient combination of multiple functions through a single, planar and compact metastructure has become an emerging research area, offering the possibility to design and realize highly integrated and miniaturized multifunctional devices in photonics, but Huge challenges still need to be solved, especially in the visible wavelengths. Here, we design the metasurface structure by means of unit structure addition, allowing the linear polarization to be effectively separated into x-polarized and y-polarized components at normal incidence, and achieve anomalous reflection of light waves and unidirectional excitation of Surface Plasmon Polaritons (SPPs). The structure can locally propagate the energy of SPPs more efficiently, or reflect more energy out through the phase gradient. When linearly polarized light of 1200 nm is incident vertically, two different linear phase gradients are generated along the same direction, resulting in the realization of the same metasurface distinctly different functions. Among them, by analyzing the local electric field distribution caused by the interaction between the incident light and the structure, it can be clearly found that the x-polarized light effectively excites surface plasmons (SPPs), and most of the energy propagates to the right along the surface of the structure. The y-polarized light achieves an abnormal reflection of 30°, and it is verified that the large-angle deflection characteristic of 20°-60° can be achieved in the wavelength range of 1000nm-1500nm. The bifunctional metasurface developed in this study can provide ideas and methods for the study of photonic integrated devices in the optical band. © 2023 SPIE.

关键词： Light polarization

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Prediction of NO_(x)concentration using modular long short-term memory neural network for municipal solid waste incineration

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Chinese Journal of Chemical engineering 2023年第4期56卷 46-57页

作者： Haoshan Duan Xi Meng Jian Tang Junfei Qiao Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Laboratory of Smart Environmental Protection Beijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing 100124China

Air pollution control poses a major problem in the implementation of municipal solid waste incineration(MSWI).Accurate prediction of nitrogen oxides(NO_(x))concentration plays an important role in efficient NO_(x)emission *** this study,a modular long short-term memory(M-LSTM)network is developed to design an efficient prediction model for NO_(x)***,the fuzzy C means(FCM)algorithm is utilized to divide the task into several sub-tasks,aiming to realize the divide-and-conquer ability for complex ***,long short-term memory(LSTM)neural networks are applied to tackle corresponding sub-tasks,which can improve the prediction accuracy of the ***,a cooperative decision strategy is designed to guarantee the generalization performance during the testing or application ***,after being evaluated by a benchmark simulation,the proposed method is applied to a real MSWI *** the experimental results demonstrate the considerable prediction ability of the M-LSTM network.

关键词： Municipal solid waste incineration NO_(x)concentration prediction Modular neural network Model

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