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3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wang, Xin Yan, Taishan School of Information Science and Engineering Hunan Institute of Science and Technology Hunan Yueyang China Hunan Institute of Science and Technology School of Information Science and Engineering China Key Laboratory of Hunan Province on Intelligent Control and Optimization of Complex Industrial Logistics System Hunan Yueyang China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

In order to improve the performance of traditional SOM model, an adaptive SOM neural network algorithm is proposed. By introducing the error square sum solution formula, the clustering error of the model sub-data set is calculated by using the method of cutting the data set, and the change trend of the clustering error is quickly obtained. Then the learning rate of the SOM network is adaptively adjusted according to this, and the convergence speed is accelerated on the basis of ensuring that the network is fully trained, thereby improving the performance of the SOM network. © 2023 SPIE.

关键词： Errors

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Optimization Scheduling of Multi-Energy Microgrid Based on the QUBO Quantum Computing Model 19th

Optimization Scheduling of Multi-Energy Microgrid Based on t...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Wang, Baonan Wang, Hui Zhang, Dan College of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Key Laboratory of Power System Operation and Control Dept. of Electrical Engineering Tsinghua University Beijing China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9789819608966

Current optimization methods for microgrid scheduling face issues such as insufficient precision in energy distribution, high operational costs, and inefficiency. In response to these challenges, an optimization scheduling method for multi-energy microgrids based on the QUBO (Quadratic Unconstrained Binary Optimization) quantum computing model is proposed in this paper, alongside a discretization approach based on a grid partitioning strategy. To validate the feasibility of addressing microgrid optimization scheduling problems in a quantum computing environment, a QUBO model is constructed and simulation studies are conducted in the qbsolv environment provided by D-Wave. The results indicate that operational costs are significantly reduced with an increase in the number of grids, particularly a reduction of 4.52% when the number of grids increases from five to ten. This method not only effectively enhances the precision of electricity supply and energy utilization efficiency but also reduces unnecessary electrical waste and economic costs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Microgrids

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A Cooperative Position Method of Two Aircraft Under the Condition of Giant Inertial Dispersion 11th

A Cooperative Position Method of Two Aircraft Under the Cond...

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11th China Conference on Command and control, C2 2023

作者： Peng, Siting Li, Lei Ren, Jun Zhu, Hongbo Yang, Jiabin Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China School of Electronics and Information Engineering Beihang University Beijing China

ISBN: (纸本)9789819990207

In this paper, based on the condition that the inertial navigation system loaded on the aircraft has giant dispersion, and the aircraft need to detect, track and attack a target, thus the relative position relation needs to be calculated precisely. How to estimate the problem becomes a difficult obstacle. This article describe the demand faced in the weapon engineer field and provide some solutions feasibly in the practical engineering, three mathematical method are modelled and the readers can choose the suitable scheme according to the detector performance. The un-linear filter method like unscented and cubature kalman filter are used in combination with the state and observation equation. The simulation results show that the modelling methods are observable and the filter method is adaptive to the motion method, therefore the algorithm elaborated in the thesis is of practical significance to the engineer project. © Chinese institute of Command and control 2024.

关键词： Aircraft

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Condition monitoring and fault diagnosis strategy of railway point machines using vibration signals

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Transportation Safety and Environment 2023年第2期5卷 27-37页

作者： Yongkui Sun Yuan Cao Haitao Liu Weifeng Yang Shuai Su National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China CRRC Zhuzhou Institute Co Ltd Zhuzhou 412001HunanChina Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong UniversityBeijing 100044China

Condition monitoring of railway point machines is important for train operation safety and *** to the fields of mechanical equipment fault detection,this paper proposes a fault detection and identification strategy of railway point machines via vibration signals.A comprehensive feature distilling approach by combining variational mode decomposition(VMD)energy entropy and time-and frequency-domain statistical features is presented,which is more effective than single type of *** optimal set of features was selected with ReliefF,which helps improve the diagnosis *** vector machine(SVM),which is suitable for a small sample,is adopted to realize *** diagnosis accuracy of the proposed method reaches 100%,and its effectiveness is verified by experiment *** this paper,vibration signals are creatively adopted for fault diagnosis of railway point *** presented method can help guide field maintenance staff and also provide reference for fault diagnosis of other equipment.

关键词： railway point machines condition monitoring variational mode decomposition(VMD)energy entropy statistical features

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RNN learning controller trained by ADRC 41

RNN learning controller trained by ADRC

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第41届中国控制会议

作者： Yutao Zhao Mengyang Wang Yi Huang Linfeng Li Yongchun Xie Key Lab.of System and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Science University of Chinese Academy of Sciences Beijing Institute of Control Engineering

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,the problem of training a recurrent neural network(RNN) controller to approximate an active disturbance rejection control(ADRC) is *** learning methods,online learning and offline learning,are *** the online setting,the RNN learning controller is trained by the error of the control quantity compared to that of ADRC in real time,while for the offline setting,the RNN controller is trained by the error of the whole state trajectory compared to that of ADRC obtained in *** randomized weight initialization,success rates of trained online and offline RNN learning controllers are compared by ***,the robustness property of the trained RNN controller is analyzed.A metric of robustness,which can be calculated from the weights of the trained RNN controller is also proposed.

关键词： Recurrent Neural Network(RNN) learning controller Active disturbance rejection control(ADRC) Online learning Offline learning Robustness

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Parameter Dynamic Selection Method of Multi-UAV Cooperative Search Based on Expert system

Parameter Dynamic Selection Method of Multi-UAV Cooperative ...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Liu, Zhenchang Hao, Mingrui Wei, Donghui Liu, Yuting Zhao, Hongyin Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789811966125

The cooperative search strategy is designed with the distributed model predictive method in this paper. For the rationality of decision-making of UAV swarm in different stages of the cooperative search, a dynamic parameter selection method based on the expert system is proposed. The weight of the objective function is adjusted online through the expert system so that the result of the search decision is more in line with the task requirements. Besides, a jump grid method is proposed for grid selection in cooperative search so that the UAV can select non-adjacent grids as the search point for the next time. The UAV's search frequency and trajectory maneuverability can be changed by adjusting the number of jump grids through the expert system. The simulation shows that the UAV with the expert system can dynamically adjust the search interval and search requirements, making the UAV swarm able to quickly discover targets, explore unknown areas, ensure collision avoidance, and meet the boundary constraints. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Multi-Stage Marine Ship Recognition Based on Stackable Residual Network 19

Multi-Stage Marine Ship Recognition Based on Stackable Resid...

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19th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2023

作者： Yu, Wanwan Zhang, Junping Wang, Linlin Xi, Yunqiao Xu, Hongfeng Chen, Linxiu Hao, Mingrui Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350304398

Marine ship recognition has always been an important research field. The ships can be usually recognized by analyzing their attribute characteristics. However, in the actual process of recognition, many ship recognition methods using a single model cannot meet the requirements of this task due to the complexity of ship types, diversity of interference factors and different information obtained from distance differences. Therefore, we propose a multi-stage ship recognition scheme. First, the single radiation emitter feature recognition network model is designed for long-distance recognition. Second, the fusion feature network model for short distance recognition. The proposed network is mainly constructed with the residual units, which not only simplify the training of deep networks and facilitate the spread of information, but also can solve the vanishing gradient and exploding gradient problem. The simulation experimental results show that the proposed network model has better performance than typical methods and has great potential in applications. © 2023 IEEE.

关键词： Ships

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Distributed Communication Based Cooperative Multi-aircraft Attack Guidance Law

Distributed Communication Based Cooperative Multi-aircraft A...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Lyu, Zhongshi Guo, Xiaoyun Hao, Mingrui Xu, Cheng Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Institute of Mechanical and Electrical Engineering Beijing100074 China

ISBN: (纸本)9789811966125

New requirements for coordinated aircraft attacks have been introduced with the development of the anti-missile systems. To address the problem of multi-flight collaborative strike, this paper proposes a distributed collaborative guidance strategy that allows for efficient information interaction. Based on the principle of distributed communication topology, the cooperative guidance law is designed to control each vehicle simultaneously in terms of velocity magnitude and direction, so that the state information of each vehicle converges quickly. The purpose of sequential arrival of vehicles is achieved, and a cooperative attack guidance law with good stability and high reliability is constructed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Vehicles

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An Automotive Headlight Leveling control Strategy with Rough Road Identification 42

An Automotive Headlight Leveling Control Strategy with Rough...

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42nd Chinese control Conference, CCC 2023

作者： Zhao, Xinyi Zhao, Linhui Deng, Zhichong Ji, Guohuang Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Intelligent Power System Co. Ltd. Wuhan430056 China

ISBN: (纸本)9789887581543

The Automotive Headlamp Leveling system (ALS), aims to ensure the stability of the illumination range of the headlamp by vertically rotate the headlamp using motors when the body attitude changes. This paper proposes an ALS scheme which obtains the body attitude from body height sensors and accordingly calculates the output angles of left headlamp and right headlamp respectively based on Euler transformation. Different from existing ALS, this scheme uses several strategies to improve the performance of ALS, including anti-shake function, working mode division and rough road identification. The purpose of rough road identification is to avoid unexpected vibration of headlamp caused by ALS on rough road and decision tree model is chosen for identification to improve the accuracy. Moreover, several field tests are performed to verify the validity and stability of the system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Decision trees

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Sensitivity Analysis of Thermal Runaway Side Reaction of Lithium Batteries Based on Morris Method 9

Sensitivity Analysis of Thermal Runaway Side Reaction of Lit...

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9th International Symposium on system Security, Safety, and Reliability, ISSSR 2023

作者： Man, Zhiyi Wang, Shaoping Zhang, Chao Zhu, Yun Beihang University School of Automation Science and Electrical Engineering Beijing100191 China AECC Aero-Engine Control System Institute Jiangsu Wuxi214100 China

ISBN: (纸本)9798350302479

In the field of electric vehicles, the safety of power lithium-ion batteries is a socially important issue, and the study of thermal runaway of lithium batteries is now gradually becoming more in-depth. In this paper, the output parameters are up-dimensioned. Using a global sensitivity analysis method based on the Moms screening method, the influence of 11 parameters such as volume of the cell(vBt), mass of the cell(mBt) and electrolyte concentration (W_e) on the thermal runaway process of Li-ion batteries is analyzed, and the variation of 10 variables such as temperature(T) and carbon dioxide gas (CO2) produced in the thermal runaway side reaction heat generation process and chemical reaction gas generation process over time is investigated under the influence of the parameter factors. In the study, the sensitivity of the parameters over a time interval is investigated in the rising dimension of the time domain. The results show that the overall effect of the parameters on the thermal process;for the output variables of the thermal process, they are mainly affected by the mass of the cell (m_Bt), the thickness of the SEI film (t_sei) and the specific heat capacity of the cell(Cp_Bt), while the chemical process is not significantly affected by the different parameters;among all the parameters, the volume (V_Bt) of the cell interacts most strongly with the other parameters for all the output variables. Finally, the results of the sensitivity analysis of the thermal runaway side reactions of the battery will be applied to the subsequent 3D simulation study. © 2023 IEEE.

关键词： Lithium-ion batteries

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