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2022 Chinese Automation Congress, CAC 2022

作者： Lu, Peng Zhu, Qidan Liang, Kun Yang, Zhibo Wang, Yi Yao, Lan School of Intelligent Engineering Zhengzhou University of Aeronautics Zhengzhou China College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China School of Information and Control Engineering Qingdao University of Technology Qingdao China School of Foreign Languages Zhengzhou University of Aeronautics Zhengzhou China

ISBN: (纸本)9781665465335

In order to analyze the initial value range of the angle between the launch bar and deck in the safe steam catapult launch of carrier-based aircraft, the mathematical model of catapult launch is established. A method for solving the safety boundary of launch bar is proposed. By setting the initial steam pressure in the wet steam accumulator as 3.7MPa, 3.8MPa and 4.0MPa, three groups of steam catapult launch simulation tests of aircraft were carried out. The simulation results show that the steam pressure of the wet steam accumulator has a great influence on the safety boundary of the launch bar. The launch bar can always be within the safety boundary by adjusting the parameters of the wet steam accumulator;when the initial value of the launch bar is within the safe boundary, increasing the initial value of the launch bar can increase the angle of attack of leaving from carrier aircraft, which is conducive to the catapult launch;The research results can provide some theoretical reference for the design and test of launch bar and the formulation of safety criteria of launch bar. © 2022 IEEE.

关键词： Steam

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A Multi-Step Sequence-to-Sequence Model with Attention LSTM Neural Networks for Industrial Soft Sensor Application

A Multi-Step Sequence-to-Sequence Model with Attention LSTM ...

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2022 Chinese Automation Congress, CAC 2022

作者： Zhao, Yuan Shen, Feifan Ma, Lianwei Zhejiang University School of Control Science and Engineering Hangzhou310027 China School of Mechanical and Power Engineering Zhengzhou University Zhengzhou450001 China Ningbo Tech University School of Information Science and Engineering Ningbo315100 China Ningbo Sono Manufacturing Co. Ltd. Ningbo315502 China

ISBN: (纸本)9781665465335

Soft sensor technology is widely applied in the process industries to handle highly nonlinear, dynamic, time-dependent sequence data of industrial processes for predicting the key quality variables associated with auxiliary process variables. Many existing deep-learning-based soft sensor algorithms can build complex nonlinear models while rarely considering the dynamic characteristics of industrial data. In this paper, a multi-step sequence-to-sequence model with attention LSTM neural networks that is good at solving problems highly related to strong time-varying features is proposed to apply to the soft sensor modeling of industrial processes. The LSTM-based encoder-decoder structure with the attention mechanism layer is used to capture inherent features relevant to the quality variables and extract the long-term dependence of the sequential data. Instead of the normal sequence-to-point architecture, the improved sequence-to-sequence architecture predicts the multi-step quality variables, and the intermediate results are fed to a one-dimensional convolution module to get the final prediction results. By conducting industrial debutanizer column experiments, the superior performance of the model are demonstrated. © 2022 IEEE.

关键词： Long short-term memory

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Design and testing of Hybrid Slime Mold Algorithm for Real-Time Adaptive Mobile Robot Path Planning in Dynamic Environments

Design and testing of Hybrid Slime Mold Algorithm for Real-T...

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Advancement in Computation & Computer Technologies (InCACCT), International Conference on

作者： Sachin Gupta Shivali Gupta Shaik Mohammed Raith Anand Kumar Salil Bharany Vishnu Kant Ch.Sandeep Department of Robotics and Control Engineering School of Electronics and Control Engineering Lovely Professional University Phagwara India Department of Chemistry School of Chemical Engineering and Physical Sciences Lovely Professional University Phagwara India Department of Computer Science and Engineering Lovely Professional University Phagwara Punjab India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India School of Computer Science and Artificial Intelligence SR University Warangal Telangana

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

Dynamic path planning and collision prevention is one of the key tasks for autonomous vehicles in relation to dynamic movement of obstacles. In this paper, a novel hybrid approach based on integration of Slime Mold Algorithm (SMA), Triangle Inequality Principle (TIP), and Partition Method Strategy (PMS) for solution of this problem statement. The SMA algorithm is very flexible and adaptive by nature due to its biological working mechanism which is associated with TIP and PMS strategies in relation to their optimization and efficient path planning capabilities and robust solutions. This integrated module is tested in virtual environment and the results are compared with other updated algorithms such as A*, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) for the same static and dynamic environment. It has been observed from the results that this hybrid strategy significantly improves the path planning task several times than other algorithms in terms of multiple aspects. Under testing conditions, the path length was reduced to 25% than other algorithms in a dynamic environment. During this calculation, the computational efficiency of the system has been improved to 60% than conventional methods. The chances of collision have been improved to 34.23% especially in environment where the obstacles are moving. The capability of SMA has been improved due to the synergy between TIP and PMS. The dynamic and adaptive nature of this algorithm is suitable for various applications such as search-and-rescue operations, manufacturing units’ automation and other hazardous environment exploration.

关键词： Navigation Heuristic algorithms Virtual environments Path planning Partitioning algorithms Safety Mobile robots Vehicle dynamics Testing Genetic algorithms

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Off-policy Q-learning-based Output Feedback Fault-tolerant Tracking control of Industrial Processes

Off-policy Q-learning-based Output Feedback Fault-tolerant T...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Jia, Linzhu Wang, Limin Zhang, Ridong Gao, Furong School of Mathematics and Statistics University Hainan Normal University Haikou China Hangzhou Dianzi University Information and Control Institute Hangzhou China Hong Kong University of Science and Technology Department of Chemical and Biomolecular Engineering Hongkong Hong Kong

ISBN: (纸本)9798350337754

In this paper, a data-driven Q-learning output feedback algorithm independent of system parameter information is proposed to solve the control problem of industrial processes with actuator faults. Firstly, an extended model is obtained by introducing tracking error into system state and output respectively. Secondly, the Bellman equation and GARE equation are acquired in the process of constructing the performance index and analyzing its relationship with value function. Since the solution of GARE equation requires knowing the system matrix information, so the Q-function is then described and an algorithm combining off-policy Q-learning and Kronecker product is used to determine the optimal controller with measurable external signals only. And the algorithm is proved to be unbiased. Finally, simulation experiments on the injection molding process verify the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Fault tolerance

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Multi-stage ARSVAE-based Detection Framework for DDoS Attack of Cyber-Energy System in Industrial Park

Multi-stage ARSVAE-based Detection Framework for DDoS Attack...

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2022 Chinese Automation Congress, CAC 2022

作者： Lv, Xiaoquan Jin, Feng Chen, Lie Zhao, Jun Wang, Wei Dalian University of Technology Ministry of Education Key Laboratory of Intelligent Control and Optimization for Industrial Equipment China School of Control Science and Engineering Dalian University of Technology Dalian China Jiangsu HENGA Automation Equipment Co. Ltd. Yangzhou China

ISBN: (纸本)9781665465335

The informatization of industrial parks increases the risk of the cyber-energy system (CES) attacked by hackers, which affects the security and stability of the production process. Among all kinds of the network attacks, distributed denial of service (DDoS) attack is one of the main threats to the CES, which may occupy the bandwidth and the memory resources a lot so as to destroy the normal running mode of the local host. In this study, a detection framework based on multi-stage adaptive recycling skip variational auto-encoder (MARSVAE) is proposed for CES under the condition of unbalanced data. To extract the probabilistic feature in the first stage, an improved variational auto-encoder based on skip structure with adaptive parameters and recycling structure (ARSVAE) is designed to improve the convergence speed. Then, ARSVAE is presented to solve the problem of imbalanced features representation for identifying anomalies at the second stage. Experiments by employing four public datasets indicate that the proposed MARSVAE is capable of reducing false alarm rate and achieving a detection precision of more than 99%. © 2022 IEEE.

关键词： Recycling

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Intention-Convolution and Hybrid-Attention Network for Vehicle Trajectory Prediction

SSRN

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SSRN 2023年

作者： Liu, Zhanwen Li, Chao Lin, Shan Wang, Yang Zhao, Xiangmo The School of Information Engineering Chang’an University China The School of Electronic and Control Engineering Chang’an University China The school of Information Science and Technology University of Science and Technology of China China

Trajectory prediction aims to estimate the future location of the vehicle based on its historical motion state, which is essential for driving decision-making and local motion planning of smart vehicles. However, affected by the multiple complex interaction in the traffic scene, predicting future trajectory accurately is a challenging task. The majority of existing methods only focus on modeling the inter-vehicle interaction, while ignoring the influence of road alignment and driver’s lane-change intention, making the poor performance of models, especially for long-term prediction or when the vehicle maneuvers laterally. To overcome the deficiencies, this paper proposes Intention-convolution and Hybrid-Attention Network (IH-Net) for reliable trajectory prediction. Specifically, we analyze the correlation of lane-change behavior and motion state of the vehicle, and then introduce the Intention-convolutional Social Pooling module (I-CS) to extract complete interaction including the driver’s lane-change intention and inter-vehicle interaction. In addition, we construct a Hybrid Attention Mechanism (H-AM) to explore the trajectory periodicity formed under the restriction of road alignment, as well as the impacts of different features on trajectory prediction, which is used to improve model’s long-term prediction capacity. The model’s prediction accuracy with RMSE loss function is tested on two public datasets NGSIM and highD, and the results demonstrate that IH-Net remarkably outperforms the state-of-art methods in long-term prediction. © 2023, The Authors. All rights reserved.

关键词： Convolution

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ZnWO_(4)-ZnIn_(2)S_(4) S-scheme heterojunction for enhanced photocatalytic H_(2) evolution

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Journal of Materials science & Technology 2022年第27期122卷 231-242页

作者： Meng Dai Zuoli He Peng Zhang Xin Li Shuguang Wang Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and EngineeringShandong UniversityQingdao266237China Suzhou Research Institute Shandong UniversitySuzhou 215123China State Center for International Cooperation on Designer Low-Carbon and Environmental Materials(CDLCEM) School of Materials Science and EngineeringZhengzhou UniversityZhengzhou 450001China Key Laboratory of Energy Plants Resource and Utilization Ministry of Agriculture and Rural AffairsSouth China Agricultural UniversityInstitute of Biomass EngineeringGuangzhou 510642China

The recombination of photogenerated electrons and holes is a crucial factor limiting photocatalytic H_(2)*** S-scheme ZnWO_(4)-ZnIn_(2)S_(4)heterojunction with 2D coupling interfaces was successfully synthesized using a simple solvothermal *** effective S-scheme interfacial charge migration route at the S-scheme heterogeneous interface was determined by energy band structure analyses(such as UPS,Mott-Schottky and XPS plots),which facilitates the separation of photoexcited *** is worth noting that the optimal ZnWO_(4)-ZnIn_(2)S_(4)composite has an H_(2)evolution activity of 4925.3μmol g^(-1)h^(-1)with favourable photostability and ***,the ZnWO_(4)-Zn In_(2)S_(4)heterojunction exhibits the maximum optical response value(2.8 m A cm-2)in the initial stage,effectively promoting the separation and migration of photogenerated *** establishment of the built-in electric field direction at the interface can effectively promote the space charge separation between the ZnWO_(4)and ZnIn_(2)S_(4)nanosheets,which is favorable to the photocatalytic H_(2)*** work provides valuable guidance for designing S-scheme heterojunction photocatalysts composed of two n-type semiconductors for energy and environmental *** recombination of photogenerated electrons and holes is a crucial factor limiting photocatalytic H_(2)*** S-scheme ZnWO_(4)-ZnIn_(2)S_(4)heterojunction with 2D coupling interfaces was successfully synthesized using a simple solvothermal *** effective S-scheme interfacial charge migration route at the S-scheme heterogeneous interface was determined by energy band structure analyses(such as UPS,Mott-Schottky and XPS plots),which facilitates the separation of photoexcited *** is worth noting that the optimal ZnWO_(4)-ZnIn_(2)S_(4)composite has an H_(2)evolution activity of 4925.3μmol g^(-1)h^(-1)with favourable photostability and ***,the ZnWO_(4)-ZnIn_(2)S_(4)heterojunc

关键词： Photocatalysts H_(2)evolution S-scheme heterojunction Internal electric field ZnWO_(4)-ZnIn_(2)S_(4)nanosheets

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Design of Ultrasonic Distance Measuring System for Auto Palletizer in Earthquake Rescue Warehouse 7

Design of Ultrasonic Distance Measuring System for Auto Pall...

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7th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2022

作者： Zhao, Lanying Lan, Xiqiang Su, Boli Zhang, Hexiang School of Electronic Science and Control Engineering Institute of Disaster Prevention China Hebei Key Laboratory of Seismic Disaster Instrument and Monitoring Technology East Yanjiao Beijing China

ISBN: (数字)9781665485197

ISBN: (纸本)9781665485197

In order to ensure the safe use of smart devices such as auto palletizer, unmanned navigation robot, self-operated robot, etc. in modern warehouse, automatic obstacle avoidance and navigation technology have been widely used to measure the spacing between equipment, equipment and warehouse facilities or other obstacles. A design scheme of ultrasonic ranging system based on Tiva C series single chip microcomputer is proposed. Since the frequency of Tiva C series MCU is as high as 80 to 120 MHz, the capacity of time measurement will be enhanced which will improve the measurement accuracy. When the timer is started, the PWM channel is started to drive the ultrasonic transmitter and the capture channel will capture the echo signal. The ultrasonic velocity is adjusted real-time according to the actual environmental temperature. With the system, distance between stacker and the obstacle were calculated in order to determine following motion of the stacker, such as keeping moving or making a sound-light alarm or decelerating to stop, with the pre-design threshold value of distance. Through abundant tests, the system illustrated that it achieved predetermined function, the alarm and stop distance meet the requirements and could be used in the actual environment. © 2022 IEEE.

关键词： Warehouses

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EBD-YOLO：a lightweight auxiliary driving detection algorithm based on YOLOv5

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Optoelectronics Letters 2025年

作者： SUN Lianshuai SHI Tao DING Yao LI Song Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems， School of Electrical Engineer-ing and Automation， Tianjin University of Technology College of Electrical Engineering， North China University of Science and Technology

A lightweight road-assistant detection algorithm， EBD-YOLO， based on YOLOv5s is proposed to address the problems of high model complexity， computation cost， and difficulty in deployment on resource-limited embedded terminals in existing assisted driving detection algorithms. First， lightweight Transformer model EfficientViT was used as the backbone feature extraction network of YOLOv5s model to reduce network parameters and calculation costs. Secondly， a Focal-GIoU Loss function is proposed for bounding box regression to accelerate model convergence and reduce loss. Thirdly， the feature pyramid structure is improved to a weighted bi-directional feature pyramid network (BiFPN) to enhance localization and semantic features. Then， a dynamic head framework is added to unify the attention mechanism with the object detection head to improve its performance. Finally， a Soft-CIoU＿NMS algorithm is proposed in the post-processing stage to enhance occluded targets' localization and detection ability and reduce the missed detection rate. We conducted experiments on the KITTI and BDD100K datasets for autonomous driving， and the results showed that the EBD-YOLO model reduced in size by 38.4% and 37.2%， respectively. In comparison， the computational cost was reduced by 48.1%. As measured by mAP@0.5， the detection accuracy improved by 0.5% and 5.8%， respectively， and mAP@0.5:0.95 improved by 2.8% and 7%， respectively. These improvements satisfied the requirements for deployment on embedded terminals in cars.

关键词：

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Framework and Key Technologies for High-speed Railway Comprehensive Transport Hub 3

Framework and Key Technologies for High-speed Railway Compre...

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Xiong, Gang Zhang, Wei Liu, Xiaoming Yuan, Zhiming Zhu, Fenghua Zhang, Zundong Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China North China University of Technology School of Electrical and Control Engineering Beijing China China Academy of Railway Science Communication Signal Research Institute Beijing China Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Beijing China

ISBN: (纸本)9798350318470

The surge in urban population density in China has underscored the vital role of high-speed rail and subway systems in urban transit. Comprehensive transportation hubs, notably high-speed rail passenger terminals, have emerged as linchpins for seamless multimodal transit both within and beyond urban centers. China's railway sector vigorously champions the innovative concept of "station-city integration"and has articulated a forward-looking "16-word policy"for modern railway stations: "Seamless integration, environmental friendliness, economic viability, and intelligent accessibility". The judicious allocation of resources and the augmentation of coordination and control capabilities within comprehensive transportation hubs are imperative for the harmonious evolution of urban transit. The implementation of intelligent control systems for transportation hubs has emerged as a pivotal area of research. This study delves into the framework and critical technologies for high-speed railway comprehensive transport hubs, encompassing various components and their intricate interplay, including transport modalities, infrastructure, travelers, environmental factors, and information systems, thus forming a prototypical cyber-physical-social system. Addressing the prevalent and pressing imperative for the advancement of "station-city integration"high-speed railway comprehensive transport hubs, this research endeavor aims to surmount bottleneck challenges and refine the oversight of passenger flows at high-speed rail terminals. The findings hold noteworthy theoretical import and portend promising practical applications. © 2023 IEEE.

关键词： Integration

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