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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Jiang, Wenbo Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

This paper proposes a multi-outlet internal rotating nozzle structure to address the issues of soot generation and friction/wear associated with mineral mining. The atomization and jet characteristics of the nozzle are simulated and analysed using CFD software, and the effects of initial pressure and outlet diameter on the jet effect of the internal rotating nozzle are investigated. The findings indicate that the jet velocity in the lateral exit channel and the canter exit of the multi-outlet nozzle increases with an increase in the initial pressure. Conversely, the exit flow velocity of the nozzle at a constant initial pressure shows a gradual decrease with an increase in the exit diameter. At low pressure and outlet diameter, the atomization effect of the nozzle is not significant. However, the atomization angle increases gradually with an increase in the initial pressure and outlet diameter. Under the same pressure, the atomization angle shows a tendency of increasing and then decreasing with the increase of outlet diameter. And the best atomization angle is obtained when the outlet diameter is 1.3 mm and the initial pressure is 0.7 MPa. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Nozzles

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Force Analysis and Reliability Improvement Method for the Conical Picks of the Coal Mining Machine Drum 14th

Force Analysis and Reliability Improvement Method for the Co...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Wang, Shuxue Xu, Weipeng College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

In response to the situation where the first blade pick of a coal mining machine is prone to failure when cutting hard coal, the working process of the drum was simulated using finite element method. The force on the pick at different positions was obtained, and the main reasons for the failure of the first blade pick were analyzed. The effectiveness and practicality of reducing the force on the first blade pick were proposed and simulated. The research results indicate that the force on the first blade tooth can be effectively reduced by increasing the diameter of the end disk. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Coal mines

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Reinforcement Learning control for Hypersonic Morphing Flight Vehicle with Identification of Dynamic Parameter

Reinforcement Learning Control for Hypersonic Morphing Fligh...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Nie, Ying Zhang, Yuan Bai, Wenyan Cao, Yuteng Yu, Chunmei Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789811966125

A reinforcement learning (RL) controller with identification of the dynamic parameter of hypersonic morphing flight vehicle (HMFV) is proposed in this paper, successfully realizing the end-to-end control of attack angle in the longitudinal plane. The following improvements are made in this paper: Firstly, the dynamic parameter (rudder efficiency coefficient) of the flight vehicle is added into the state vector, so that the RL controller can understand the control ability of the rudder and generates the optimal control commands in the current state. Secondly, five instead of only one consecutive attack angle deviations are used to jointly generate the state vector, which enables the RL controller to use the model state information of the previous period of time and improve the control stability. Three simulations are set up in this paper. The simulation results show that the RL controller proposed in this paper can achieve stable and high precision attack angle control under large-scale environmental deviations and has strong generalization under different guidance commands. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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MMLN: Multi-directional and Multi-constraint Learning Network for Remote Sensing Imagery Semantic Segmentation

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024年 1-16页

作者： Sun, Hang Xie, Yongchang Ren, Dong Wen, Fangqing Tong, Lyuyang Chang, Laibin Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges University Yichang China Institute of Vehicle Information Control and Network Technology Hubei University of Automotive Technology Shiyan China School of Computer Science Wuhan University Wuhan China

Recent advances in satellite remote sensing technology and computer technology have significantly impacted practical applications in remote sensing image segmentation. However, the prevalent hybrid segmentation models that combine Convolutional Neural Networks (CNNs) and Transformers, often overlook the critical exploration of local and global feature correlations across various scales. This exploration is essential for learning more representative features and strengthening context modeling capabilities. Additionally, the decoding layers of these models do not effectively exploit the pixel-level semantic relationships within cross-layer feature maps, thereby limiting the models' ability to discern small object features. To address these challenges, this paper introduces a Multi-directional and Multi-constraint Learning Network (MMLN) designed for semantic segmentation of remote sensing imagery. This network features a Multi-directional Dynamic Complement Decoder (MDCD), which enhances the interaction between local and global features in the feature space, and subsequently improves the feature discrimination within the segmentation network. Moreover, a Multi-constraint Saliency Boundary-adaptive Module (MSBM) is implemented to reinforce the spatial constraints on saliency at the edge regions and ensure semantic consistency along the mask boundaries. This, in turn, augments the segmentation model's capability to detect small objects. The evaluation on four datasets reveals that the MMLN outperforms the existing state-of-the-art methods in remote sensing imagery segmentation. The code is available at https://***/zhongyas/MMLN. Authors

关键词： Semantics

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Equalizer Zero-Determinant Strategy in Discounted Repeated Stackelberg Asymmetric Game

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Journal of Systems science & Complexity 2024年第1期37卷 184-203页

作者： CHENG Zhaoyang CHEN Guanpu HONG Yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology10044 StockholmSweden. Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 210201China

This paper focuses on the performance of equalizer zero-determinant(ZD)strategies in discounted repeated Stackelberg asymmetric *** the leader-follower adversarial scenario,the strong Stackelberg equilibrium(SSE)deriving from the opponents’best response(BR),is technically the optimal strategy for the ***,computing an SSE strategy may be difficult since it needs to solve a mixed-integer program and has exponential complexity in the number of *** this end,the authors propose an equalizer ZD strategy,which can unilaterally restrict the opponent’s expected *** authors first study the existence of an equalizer ZD strategy with one-to-one situations,and analyze an upper bound of its performance with the baseline SSE *** the authors turn to multi-player models,where there exists one player adopting an equalizer ZD *** authors give bounds of the weighted sum of opponents’s utilities,and compare it with the SSE ***,the authors give simulations on unmanned aerial vehicles(UAVs)and the moving target defense(MTD)to verify the effectiveness of the proposed approach.

关键词： Discounted repeated Stackelberg asymmetric game equalizer zero-determinant strategy strong Stackelberg equilibrium strategy

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Research on Adaptive Fault-Tolerant control of Quadrotor UAV Based on Improved Nonlinear Extended State Observer 13

Research on Adaptive Fault-Tolerant Control of Quadrotor UAV...

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13th International Conference on Information science and technology, ICIST 2023

作者： Cai, Zongshan Sun, Kaibiao Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education Dalian University of Technology China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350313925

In this paper, a parameter-uncertain quadrotor UAV system with unknown external disturbances and actuator failures is studied, and a parameter adaptive fault-tolerant control scheme is based on an improved nonlinear extended state Man-machine trajectory tracking control. First, considering the influence of the unknown multi-source external environmental disturbance on the quadrotor UAV, the external disturbance suffered by the system is estimated and compensated in real-time by introducing an improved nonlinear extended state observer. Secondly, a new type of sliding mode reaching law is designed by using the continuous function with relay characteristics combined with the exponential function, which improves the sliding mode response speed of the system and eliminates the chattering of the sliding mode. Finally, a parameter adaptive law is designed for the actuator fault, and an adaptive fault-tolerant controller is designed by combining the backstepping sliding mode method, and the stability of the control system is proved by using the Lyapunov stability theory. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Research on Meshing Characteristics and Vibration of Aluminum Miner Based on MASTA 14th

Research on Meshing Characteristics and Vibration of Aluminu...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Dong, Guanzhan Xu, Weipeng Gao, Kuidong College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

Aiming at the mechanical continuous operation of bauxite mining process, firstly, an improved scheme of cutting bauxite with an 8-pole motor shearer is proposed, which is practical and feasible, and a 3D model is established in Solid Edge. Secondly, considering the higher meshing frequency of high-speed gear in the cutting part, the meshing characteristics under different loads were investigated by MASTA software, and the laws of contact stress, meshing dislocation and trans-mission error were obtained. Finally, the vibration displacement of one axis is obtained in view of the significant influence of individual order energy on the vibration of the shell under rated working conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Bauxite deposits

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Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks

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Digital Communications and Networks 2023年第2期9卷 400-410页

作者： Lingwei Xu Hao Yin Hong Jia Wenzhong Lin Xinpeng Zhou Yong Fu Xu Yu Department of Information Science and Technology Qingdao University of Science and TechnologyQingdao266061China Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen UniversityXiamen361005China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University) Fuzhou350121China Faculty of Information Science and Engineering Ocean University of ChinaQingdao266100China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)JinanChina

Mobile Industrial Internet of Things(IIoT)applications have achieved the explosive growth in recent *** mobile IIoT has flourished and become the backbone of the industry,laying a solid foundation for the interconnection of all *** variety of application scenarios has brought serious challenges to mobile IIoT networks,which face complex and changeable communication *** data secure transmission is critical for mobile IIoT *** paper investigates the data secure transmission performance prediction of mobile IIoT *** cut down computational complexity,we propose a data secure transmission scheme employing Transmit Antenna Selection(TAS).The novel secrecy performance expressions are first ***,to realize real-time secrecy analysis,we design an improved Convolutional Neural Network(CNN)model,and propose an intelligent data secure transmission performance prediction *** mobile signals,the important features may be removed by the pooling *** will lead to negative effects on the secrecy performance prediction.A novel nine-layer improved CNN model is *** of the input and output layers,it removes the pooling layer and contains six convolution ***,Back-Propagation(BP)and LeNet methods are employed to compare with the proposed *** simulation analysis,good prediction accuracy is achieved by the CNN *** prediction accuracy obtains a 59%increase.

关键词： Mobile IIoT networks Data secure transmission Performance analysis intelligent prediction Improved CNN

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Dynamic Subgoal Based Path Formation and Task Allocation: A NeuroFleets Approach to Scalable Swarm Robotics

Dynamic Subgoal Based Path Formation and Task Allocation: A ...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Peter, Robinroy Ratnabala, Lavanya Andrew Charles, Eugene Yugarajah Tsetserukou, Dzmitry Ltd Jaffna Sri Lanka Skolkovo Institute of Science and Technology Intelligent Space Robotics Laboratory Moscow121205 Russia University of Jaffna Department of Computer Science Jaffna Sri Lanka

ISBN: (纸本)9781665410205

This paper addresses the challenges of exploration and navigation in unknown environments from the perspective of evolutionary swarm robotics. A key focus is on path formation, which is essential for enabling cooperative swarm robots to navigate effectively. We designed the task allocation and path formation process based on a finite state machine, ensuring systematic decision-making and efficient state transitions. The approach is decentralized, allowing each robot to make decisions independently based on local information, which enhances scalability and robustness. We present a novel subgoal-based path formation method that establishes paths between locations by leveraging visually connected subgoals. Simulation experiments conducted in the Argos simulator show that this method successfully forms paths in the majority of trials. However, inter-collision (traffic) among numerous robots during path formation can negatively impact performance. To address this issue, we propose a task allocation strategy that uses local communication protocols and light signal-based communication to manage robot deployment. This strategy assesses the distance between points and determines the optimal number of robots needed for the path formation task, thereby reducing unnecessary exploration and traffic congestion. The performance of both the subgoal-based path formation method and the task allocation strategy is evaluated by comparing the path length, time, and resource usage against the A ∗ algorithm. Simulation results demonstrate the effectiveness of our approach, highlighting its scalability, robustness, and fault tolerance. © 2024 IEEE.

关键词： Traffic congestion

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Large flexible structure vibration measurement based on machine vision

Large flexible structure vibration measurement based on mach...

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第43届中国控制会议

作者： Yuanyuan Zhu Haibo Zhang Zhijie Ning Yanning Guo Lingxi Zheng Harbin Institute of Technology National Key Laboratory of Space Intelligent Control

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

A multi-target synchronous measurement method is proposed for the vibration measurement problem of large flexible structures. Select the appropriate system hardware according to the actual measurement requirements, and the binocular camera is used to acquire the image sequence of multiple points during the vibration process. An innovative method is proposed that combines feature point matching and Maximum Intersection over Union is proposed to achieve one-to-one mapping between multiple points. The vibration information of the flexible structure is obtained by image processing and three-dimensional coordinate calculation. Compared with the results obtained by the Optitrack motion capture *** vibration with a frequency of 3Hz, the relative errors of most measurements are within 5%, which meets the requirements of most vibration measurements.

关键词： Machine vision Flexible structure Multi-points matching Digital image processing SIFT IoU

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