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5th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2023

作者： Wang, Gang Lian, Mingchang Ding, Wei Chen, Songhang Chen, Hao Quanzhou Institute of Equipment Manufacturing Haixi Institutes Chinese Academy of Sciences Quanzhou362200 China College of Computer and Cyber Security Fujian Normal University Fujian Fuzhou350001 China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fujian Fuzhou350108 China Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou362200 China

ISBN: (纸本)9781643684840

This paper is based on the research background of block relocation in the automated warehouse and proposes a solution utilizing AGV to relocate goods within the warehouse. Building upon the automated warehouse layout and block relocation process, we formulate a mathematical model to minimize the the number of AGV moving goods and the total travel distance of the AGV. To solve the model, we develop an enhanced genetic algorithm, which zones the block relocation process into multiple stages. Each stage integrates conventional heuristic algorithms to enhance the efficiency of the solution process. The improved genetic algorithm can effectively solve the problem, significantly enhancing the automation level of the warehouse. © 2024 The Authors.

关键词： Genetic algorithms

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Modeling and Analysis of a Non-linear Electret Electrostatic Energy Harvester 3

Modeling and Analysis of a Non-linear Electret Electrostatic...

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3rd IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2020

作者： Niu, Shaohua Gao, Chunhui Chen, Jian Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory Beijing China Beijing Power Machinery Institute Beijing China

ISBN: (纸本)9781728198279

With the rapid development of MEMS and CMOS sensors and improvement of data processing capabilities we have entered the era of the internet of everything (IoE), and the ensuing problem of sensor power supply has attracted more and more people's attention. Vibration energy harvester that can directly convert vibration energy into electrical energy from the environment have become hot topics in recent years because of the short life, large size, long-term storage and other shortcomings of traditional chemical batteries. The electrostatic vibration energy harvester is a typical harvester, which always uses beam structure to capture the environmental energy. However the working bandwidth of traditional beam is always relatively narrow, while the vibration frequency range of environment is relatively wide. Thus the capture energy efficiency of traditional beam structure is relatively low. In this paper, a nonlinear method is introduced into electret electrostatic energy harvester, which employed magnetic body structure to introduce nonlinear force. In the paper, the model of this nonlinear harvest is built, and its characteristics are analyzed. According the analysis result, magnetic force introduced can improve capture energy bandwidth, moreover, repulsive force expands the bandwidth larger than attractive force. © 2020 IEEE.

关键词： Bandwidth

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Research on general system level training simulation technology of mid-and high-end military uav

Research on general system level training simulation technol...

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Chinese Intelligent Systems Conference, CISC 2020

作者： Zhang, Qing Tong, Jiahui Li, Haifeng Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electromechanical Engineering Institute Beijing China

ISBN: (纸本)9789811584497

A common training simulation system is proposed for the general-purpose and efficient control training needs of the mid-and highend military UAV system. The general modeling technology and processconfigurable interface protocol modeling method are adopted to realize the rapid construction of flight simulation subsystem of various aircraft models. A scheme based on general bus monitoring and fast extraction equipment is designed to realize the fast embedded real-time control training of UAV with different physical devices. A self-correctable control and evaluation method of UAV training based on multi-sample statistics is proposed to enhance the targeted strengthening setting of training subjects for trainees, so as to improve training efficiency and training effect. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Extraction

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Structural Optimization Design of H-type Piezoelectric Actuator Based on APDL 8

Structural Optimization Design of H-type Piezoelectric Actua...

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8th Annual International Conference on Material science and Engineering, ICMSE 2020

作者： Rui, Suyuan Wang, Xinjie School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an710065 China

Aiming at the problem of low efficiency in optimizing the H-type piezoelectric actuator with the "trial method", this article uses a program written in the APDL (ANSYS Parametric Design Language) to optimize the structure of the piezoelectric actuator. First, a parametric finite element model is established based on the initial data values of the mover structure. Modal analysis and sensitivity analysis are performed to determine the design variables. Then, the objective function is determined based on the frequency consistency of the two-phase working modes. Finally, based on the optimization tool proposed in this paper, the structure of the H-type piezoelectric actuator is optimized. The optimization results show that the optimization program based on APDL can achieve the optimal design requirements of the H-type piezoelectric actuator and shorten the time required for structural optimization design. © Published under licence by IOP Publishing Ltd.

关键词： Piezoelectric actuators

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Magnetic spring and its application in fuze

Magnetic spring and its application in fuze

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2020 International Conference on Artificial Intelligence and electromechanical Automation, AIEA 2020

作者： Yu, Haoyuan Sui, Li Bian, Xinyuan Zhao, Qiaoran School of Mechatronical Engineering Beijing Institute of Technology Beijing China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728182889

During the working process of the fuze insurance institution, the metal coil spring as a resistance element may cause failure due to fatigue fracture and stress creep relaxation, thereby affecting the reliability and stability of the fuze safety system. To solve this problem, a kind of variable stiffness spring with negative stiffness characteristic is proposed in this paper, which is composed of two magnets. This spring has the advantages of simple structure and rich stiffness characteristics. It is used in fuze recoil insurance institutions to meet the requirements of fuze security system service handling security and reliable release of insurance at launch, providing new features for improving the performance of fuze insurance institutions Technical approach. © 2020 IEEE.

关键词： Stiffness

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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Calibration of Space Robot Parameters Based on Base Coordinate System Errors

Calibration of Space Robot Parameters Based on Base Coordina...

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Electrical Engineering, Big Data and Algorithms (EEBDA), IEEE International Conference on

作者： Zhen Yao Chuankai Liu Li Chen Gang Chen Fang Han Xiaodong Hu Fuzhou University Fuzhou China Beijing Aerospace Control Center Key Laboratory of Science and Technology on Aerospace Flight Dynamic Beijing China Beijing University of Posts and Telecommunications Beijing China Beijing Aerospace Control Center Beijing China

A motion error parameter identification method is proposed to address the issue of insufficient absolute positioning accuracy of a seven-degree-of-freedom space robot based on the geometric parameter errors of the robotic arm and the position errors of the base coordinate system. Firstly, the kinematic model of the space robot is established based on a modified complete and parametrically continuous model, and the mapping relationship between the geometric parameter error of the robotic arm link and the end-effector pose error is obtained using the pose differential transformation method. Then, taking into account the base coordinate system's positional error, a novel model for the space robot is developed, based on the errors associated with the base coordinate system. Finally, the identification of kinematic parameters is accomplished using the Levenberg-Marquardt optimization algorithm. Simulation results validate the effectiveness of the proposed method.

关键词：

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Dual-Band Substrate Integrated Waveguide Cavity-Backed Antenna Based on LTCC in D-Band

Dual-Band Substrate Integrated Waveguide Cavity-Backed Anten...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Dongxu Wang Kai-Da Xu School of Information and Communications Engineering Xi’an Jiaotong University Xi’an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an China Shaanxi Key Laboratory of Artificially-Structured Functional Materials and Devices Xi’an China

In this paper, a D-band dual-band substrate integrated waveguide (SIW) cavity-backed antenna based on low temperature co-fired ceramic (LTCC) fed by standard Flange of WR-6.5 rectangular waveguide (RWG) has been proposed. The dual-band cavity-backed antenna operates at its two high-order radiation modes through the four radiating slots etched on the top of its surface coupled by an hourglass-shaped inductive window. In addition, the design of SIW-RWG vertical transition is in order to transmit the power from the waveguide to the SIW cavity-backed antenna efficiently. The 10-dB impedance bandwidths of the proposed antenna are over 3% at both radiation frequencies of 146.6 and 167.2 GHz, while the maximum realized gains are 8.73 and 9.29 dBi, respectively. According to the LTCC process, the structure of the antenna is able to be stable and well performed.

关键词： Waveguide transitions Surface waves Transmitting antennas Dual band Rectangular waveguides Bandwidth Ceramics

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INFRARED NON-UNIFORMITY CORRECTION MODEL VIA DEEP CONVOLUTIONAL NEURAL NETWORK 9

INFRARED NON-UNIFORMITY CORRECTION MODEL VIA DEEP CONVOLUTIO...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Chen, Shiqiang Deng, Feng Zhang, Hongyan Lyu, Suhuan Kou, Zongchun Yang, Jingjing Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing100192 China School of Automation Beijing Information Science & Technology University Beijing100192 China State Key Laboratory of Nickel and Cobalt Resources Comprehensive Utilization Jinchang737104 China Jinchuan Group Co. Ltd Jinchang737104 China

ISBN: (纸本)9781839538391

Constrained by the limitation of the manufacturing engineering of the infrared thermal imaging detector, the non-uniformity problem is reflected as the periodical fixed pattern noise (FPN) in the images, which leads to a serious decline in the image quality. In order to solve this problem, this paper proposes an infrared non-uniformity correction model via a deep convolutional neural network (NUC-DCN). The residual learning technology is used to learn the residual information between the noisy infrared image and the latent clean one, which can accelerate the training process. A cubic polynomial is used to simulate the FPN to improve the generalization performance of the model. In addition, a wider convolutional kernel is used in the feature extraction to obtain the global noise feature representation. Furthermore, a combination of pooling layer and deconvolution layer is used to reduce the feature dimension, reduce the amount of computation, and then restore the feature map size to reconstruct the image. Finally, the feature maps of feature extraction and nonlinear mapping are fused to reconstruct the denoised image. The results of experiments show that our model outperforms the compared method in removing non-uniform noise and preserving the original structure and detail information of the image. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Feature extraction

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Research on AI-driven complex network and management system of coal and gas outburst accident

Journal of Safety and Sustainability

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Journal of Safety and Sustainability 2025年第1期2卷 32-44页

作者： Cheng Lu Shuang Li Ningke Xu Yi Zhang Yanting Qin School of Economics and Management China University of Mining and Technology Xuzhou 221116 China Safety Science and Emergency Management Research Institute China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou 221116 China

Coal and gas outburst accidents are the most dangerous and complex accidents in coal mines. There is an urgent need for a systematic, objective, intelligent, and full process coal and gas outburst accident control system. The study constructs artificial intelligence (AI) -driven complex network and control system for coal and gas outburst accident: a coal and gas outburst accident control method based on text mining, complex network, and knowledge graph is proposed to achieve systematic extraction of causal factors, accurate identification of control strategy, intelligent formulation of control measures for coal and gas outburst accidents. The research results indicate that: (1) 70 causal factors are extracted from 72 investigation reports on coal and gas outburst accidents, including 21 human factors, 16 mechanical equipment factors, 14 environmental factors, and 19 management factors. (2) The coal and gas outburst accident complex network has a more complex structure, stronger robustness, and more prominent multi factor coupling effect, requiring more intelligent control methods. (3) The attack strategy generated by the innovatively proposed comprehensive value (CV) topology indicator is the optimal control strategy for coal and gas outburst accidents, maintaining higher attack efficiency in multiple stages and better controlling accident complex network. It also performs well in controlling single accident. (4) The coal and gas outburst accident control technology which is based on knowledge graph can quickly match the control measures and relationships, perform intelligent search of entities, reduce the time and energy consumption of managers for knowledge analysis, and provide intelligent decision support for managers. This study validates the scientific and practical feasibility of AI in the control of coal and gas outburst accidents. Future research will focus on further expanding data sources, clarifying the mechanism of coal and gas outburst accidents, and

关键词： Coal and gas outburst accidents Complex network Knowledge graph AI

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