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7th International Conference on Intelligent Robotics and control engineering, IRCE 2024

作者： Li, Mingqun Lei, Yongjun Jiang, Qinghua Beijing Institute of Control Engineering Research and Development Center Beijing China Beijing Institute of Control Engineering System Design Department Beijing China

ISBN: (纸本)9798350352399

XX-1 satellite is a micro-nano satellite with low control system redundancy, equipped with only one set of three-axis gyroscopes. How to achieve attitude control during satellite failures has become an important issue in control scheme. This article proposes an attitude control scheme for low redundancy micro-nano satellites under the condition of no gyroscope. When high-value components in the satellite attitude control system, such as gyroscopes, fail and there are no redundant components, the satellite only uses magnetometers to reconstruct the attitude determination system, which can achieve attitude determination under any attitude conditions. This paper divides the working modes of micro-nano satellites into different modes based on the control tasks. Corresponding control laws are adopted in different modes, and magnetic torquers and momentum wheels are used to generate corresponding control torques, thus forming a complete satellite attitude control scheme. This paper further proposes effective discrimination conditions and parameter design methods for various working modes. Mathematical simulation shows that the proposed scheme enables micro-nano satellites to recover from any attitude to a stable operating state without gyroscope, and has the ability to operate stably in orbit for a long time. The attitude control accuracy is better than 2°, and the attitude stability is better than 0.003°/s, greatly improving the satellite's ability to operate safely in orbit. © 2024 IEEE.

关键词： Gyroscopes

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Machine Learning by Symbolic Regression for Automatic Synthesis of Universal Stabilization System of Motion 32

Machine Learning by Symbolic Regression for Automatic Synthe...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Diveev, Askhat Barabash, Artem Federal Research Center 'Computer Science and Control' The Russian Academy of Sciences Department Control of Robotic Devices Moscow119333 Russia

ISBN: (纸本)9798350395440

This work describes automatization of creation process of automatic control systems. This needs not only for faster construction of control systems, but also to attract the machine to the solving the control problems, in order to computer found some solutions itself and offered them to developers. Here the optimal control problem in the extended statement is considered, when its solution can be realized directly in a real object. Here, for it purpose it is proposed to synthesize the universal stabilization system of a control object motion along any trajectory from enough wide class. The model of control object with stabilization system and with reference model for generation of a trajectory is called extended model of control object. The optimal control problem with the extended model of control object for realization of its solution it is enough to solve in classical form and to find a control function as a function of time. Universal stabilization system will provide quality motion a control object along obtained trajectory. For synthesis of a universal stabilization system machine learning control by symbolic regression is used. A computational example of application considered approach to a control of spatial motion of a quadcopter group is presented. © 2024 IEEE.

关键词： Trajectories

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Denitrification enhanced by composite carbon sources in AAO-biofilter:Efficiency and metagenomics research

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Journal of Environmental sciences 2025年第4期150卷 25-35页

作者： Fan Guo Guokai Yan Haiyan Wang Lingling Shi Yanjie Zhang Yu Ling Youfang Wei Huan Wang Weiyang Dong Yang Chang Ziyang Tian State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Research Center of Environmental Pollution Control Technology Chinese Research Academy of Environmental ScienceBeijing 100012China Research Center for Environmental Management Chinese Research Academy of Environmental SciencesBeijing 100012China

Nitrogen removal from domestic sewage is usually limited by insufficient carbon source and electron *** economical solid carbon source was developed by composition of polyvinyl alcohol,sodium alginate,and corncob,which was utilized as external carbon source in the anaerobic anoxic oxic(AAO)-biofilter for the treatment of low carbon-to-nitrogen ratio domestic sewage,and the nitrogen removal was remarkably improved from 63.2%to 96.5%.Furthermore,the effluent chemical oxygen demand maintained at 35 mg/L or even lower,and the total nitrogenwas reduced to less than 2mg/*** analysis demonstrated that the microbial communities responsible for potential denitrification and organic matter degradation in both AAO and the biofilter reactors were mainly composed of Proteobacteria and Bacteroides,*** solid carbon source addition resulted in relatively high abundance of functional enzymes responsible for NO_(3)^(−)-N to NO_(2)^(−)-N con-version in both AAO and the biofilter reactors,thus enabled stable *** carbon source addition during glycolysis primarily led to the increase of genes associated with the metabolic conversion of fructose 1.6P2 to glycerol-3P The reactor maintained high abun-dance of genes related to the tricarboxylic acid cycle,and then guaranteed efficient carbon *** results indicate that the composite carbon source is feasible for denitri-fication enhancement of AAO-biofilter,which contribute to the theoretical foundation for practical nitrogen removal application.

关键词： AAO Biofilter Composite carbon source Nitrogen removal Metagenomics

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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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PCB-Net: An Effective Deep Learning-Based Approach to PCBA Detection 50

PCB-Net: An Effective Deep Learning-Based Approach to PCBA D...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Li, Tingxin Liu, Weihua Liu, Xinpeng Yang, Xianqiang Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Research Center of Intelligent Control and Systems Zhejiang University Yongjiang Laboratory Hangzhou China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781665464543

Modern surface mount circuit board assemblies require more advanced defect detection methods. While deep learning algorithms have great potential for PCBA inspection, their detection accuracy in complex background situations is still limited. To overcome this problem, we propose a deep learning-based PCBA detection model (PCB-Net) to achieve accurate classification and localization of components on PCB. Firstly, for similar objects under complex background interference, this paper proposes a backbone network consisting of a generalized efficient aggregation network and a context converter to effectively extract local and global information. This integration aims to enhance the expressiveness of the network. Secondly, a multi-scale attention mechanism is designed to improve the feature extraction ability of the network on the target and suppress the interference of complex backgrounds. Finally, a C2fHB lightweight module was designed to improve the model's extraction of component features using the HorNet structure. Experimental results show that our proposed model is an effective PCBA detection method, as it can accurately detect tiny components in complex backgrounds, efficiently obtain component class and location information, and remain detection efficiency. © 2024 IEEE.

关键词： Surface mount technology

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Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy

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Chinese Journal of Electronics 2024年第3期33卷 803-813页

作者： Yongkui SUN Yuan CAO Peng LI Guo XIE Tao WEN Shuai SU National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.

关键词： Fault diagnosis Railway point machine Vibration signal Variational mode decomposition Two-stage feature selection

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Copper-catalyzed asymmetric [4+1] annulation of yne–allylic esters with pyrazolones

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Chinese Chemical Letters 2025年第4期36卷 178-182页

作者： Guang Xu Cuiju Zhu Xiang Li Kexin Zhu Hao Xu Engineering Research Center of Photoenergy Utilization for Pollution Control and Carbon Reduction State Key Laboratory of Green Pesticide College of Chemistry Central China Normal University

An enantioselective catalytic method for the direct [4 + 1] annulation of yne–allylic acetates with pyrazolones has been realized by a copper-catalyzed remote strategy. A variety of enantioenriched spiropyrazolones are rapidly accessed in high yields with moderate to good enantiocontrol. The facile follow-up transformations highlight its potential utility in the synthesis of diverse spiropyrazolones building blocks.

关键词： Asymmetric catalysis Copper catalysis Spiropyrazolones Yne-allylic esters

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Nonclassical transport in nonequilibrium rarefied gas flows

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Physics-Uspekhi 2025年第3期68卷 261-277页

作者： Aristov, V.V. Zabelok, S.A. Frolova, A.A. Federal Research Center Computer Science and Control The Russian Academy of Sciences ul. Vavilova 44 korp. 2 Moscow119333 Russia

We discuss physical phenomena in nonequilibrium gas flows where the classical Stokes and Fourier laws for stress and heat transfer are violated. Fundamental differences are revealed between the kinetic description and methods of the thermodynamics of nonequilibrium processes. We study classes of problems for nonequilibrium rarefied gas flows with nonclassical transport. Prospects of experimental verification of the effects are also discussed. © 2025 Uspekhi Fizicheskikh Nauk. All rights reserved.

关键词： Boltzmann equation

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A type-independent unknown parameters estimation method for lead component 50

A type-independent unknown parameters estimation method for ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Yang, Hong Liu, Xinpeng Liu, Weihua Yang, Xianqiang Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Control Science and Engineering Dalian University of Technology Dalian China Research Center of Intelligent Control and Systems Yongjiang Laboratory Zhejiang University Ningbo China

ISBN: (纸本)9781665464543

To meet the growing demands in the electronics manufacturing industry for smaller, more reliable, and flexible component packages, this research introduces a novel algorithm designed to automatically measure the geometric parameters of lead components. The algorithm can address the challenges associated with measuring these parameters in surface mount technology (SMT), overcoming the inefficiencies and inaccuracies of traditional manual measurement methods. This innovative approach combines an adaptive threshold segmentation algorithm with a multilevel grayscale range, enabling robust binary segmentation that adapts to variations in illumination. Additionally, by employing conditional filtering and state tracking, the algorithm facilitates the extraction of lead groups and individual leads, allowing for precise evaluation of component parameters through sub-pixel interpolated fitting. Extensive testing under various illumination conditions across multiple types of packaged and standard components has confirmed the algorithm's high accuracy and robustness. These results highlight its efficacy as a measurement solution suitable for industrial-grade applications. © 2024 IEEE.

关键词： Surface mount technology

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Malfunction Diagnosis of the GTCC System under All Operating Conditions Based on Exergy Analysis

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Energy engineering 2024年第12期121卷 3875-3898页

作者： Xinwei Wang Ming Li Hankun Bing Dongxing Zhang Yuanshu Zhang Steam Turbine and Gas Turbine Research Center Huadian Electric Power Research Institute Co.Ltd.Hangzhou310030China College of Control Science and Engineering Zhejiang UniversityHangzhou310058China

After long-term operation,the performance of components in the GTCC system deteriorates and requires timely *** to the inability to directly measure the degree of component malfunction,it is necessary to use advanced exergy analysis diagnosis methods to characterize the components’health condition(degree of malfunction)through operation data of the GTCC *** dissipative temperature is used to describe the degree of malfunction of different components in the GTCC system,and an advanced exergy analysis diagnostic method is used to establish a database of overall operating condition component malfunctions in theGTCC *** software is used to simulate the critical parameters of the malfunctions of the GTCC system components and to obtain the changes in the dissipative temperature of different ***,the fuel consumption and economic changes of the GTCC system on a characteristic power supply day under health and malfunction conditions are ***,the effects of maintenance costs,electricity,and gas prices on maintenance expenses and profits are *** results show that the GTCC system maintenance profit is 6.07$/MWh,while the GTCC system maintenance expense is 5.83$/*** with the planned maintenancemode,the malfunction maintenance mode saves 0.24$/***,the maintenance coefficient of GTCC should be adjusted under different malfunctions to obtain a more accurate maintenance period.

关键词： Gas turbine combined cycle malfunction diagnosis exergy analysis maintenance profits

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