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Deformation Evolution and Perceptual Prediction for Additive Manufacturing of Lightweight Composite Driven by Hybrid Digital Twins

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Chinese Journal of Mechanical Engineering 2024年第5期37卷 94-112页

作者： Jinghua Xu Linxuan Wang Mingyu Gao Chen Jia Qianyong Chen Kang Wang Shuyou Zhang Jianrong Tan Shaomei Fei State Key Lab of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310058China Zhejiang Key Lab of Advanced Manufacturing Technology School of Mechanical EngineeringZhejiang UniversityHangzhou 310058China State Key Laboratory of Materials Processing and Die and Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Institute of Design Engineering Zhejiang UniversityHangzhou 310058China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore City 639798Singapore

This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins(HDT).In order to improve manufacturing quality of irregular lightweight composite through boosting conceptual design in aeronautic and aerospace engineering,the HDT meaning hybridization of physical and digital domains,including deformation and energy efficiency can be built,where the essential parameters can be perceptually predicted in advance,by virtue of the fusion of physical sensors and digital *** long short term memory(LSTM)can be employed to void vanishing gradient problem and improve predicting precision via Recurrent Neural Networks,thereby laying a foundation for the *** diverse manufacturing requirements of different regions are integrated into the parameters designing phase by attaching region weights confirmed via empiricism and in-service *** effects of slicing strategy and external support structures on manufacturing quality are considered from the perspective of improving dimensional *** manufacturing efficiency and comprehensive costs are accounted as consideration factors,which are perceptually predicted via *** designed manufacturing parameters through HDT were virtually examined by evaluating the deformation and equivalent stress distributions of fabricated lightweight component with composite material through AM process *** physical experiments were conducted to verify the HDT-based pre-designing and optimization method of manufacturing parameters via fused deposition modeling(FDM).The energy consumption of actual manufacturing process was measured via digital power meter and applied to evaluate accuracy of perceptual prediction *** dimensional accuracy and distortion distribution of the manufactured lightweight prototype made with composite material were measured through the coordinate measuring machine(CMM)and 3D optica

关键词： Deformation evolution Perceptual prediction Lightweight composite Hybrid digital twins(HDT) Long short term memory(LSTM)

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Formal management-specifying approach for model-based safety assessment

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Journal of systems Engineering and Electronics 2023年第6期34卷 1589-1601页

作者： XU Changyi DUAN Yiman ZHANG Chao School of Control Science and Engineering Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of EducationDalian University of TechnologyDalian 116024China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

In the field of model-based system assessment,mathematical models are used to interpret the system ***,the industrial systems in this intelligent era will be more *** management operations will be dynamically set,and the system will be no longer static as it is initially ***,the static model generated by the traditional model-based safety assessment(MBSA)approach cannot be used to accurately assess the *** mainly exists three ***:huge and complex behaviors make the modeling to be trivial manual;Dynamic:though there are thousands of states and transitions,the previous model must be resubmitted to assess whenever new management arrives;Unreusable:as for different systems,the model must be resubmitted by reconsidering both the management and the system itself at the same time though the management is the *** by solving the above problems,this research studies a formal management specifying approach with the advantages of agility modeling,dynamic modeling,and specification design that can be ***,three typical managements are specified in a series-parallel system as a demonstration to show the potential.

关键词： model-based safety assessment(MBSA) management availability reliability maintainability continuous time Markov chain.

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A Multi-Dimensional Dynamic Evaluation Method for the Intelligence of Unmanned Aerial Vehicle Swarm

A Multi-Dimensional Dynamic Evaluation Method for the Intell...

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2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Quan, Wei Jia, Linpeng Zhang, Zhao Chen, Chen Wang, Lingda School of Automation Beijing Institute of Technology The National Key Lab of Autonomous Intelligent Unmanned Systems Beijing China

ISBN: (纸本)9798350316308

With the emergence of unmanned system and swarm intelligence technology, how to describe and evaluate the intelligence of unmanned aerial vehicle swarm (UAVS) has become a challenging topic. An intelligence description framework is established involving the mission execution complexity and mission performance indexes. Multiple dimensions index system is built to express the internal intelligence behavior of the UAVS. To dynamically evaluate the intelligence capability of UAVS from multi-dimension, a dynamic indexes framework based on data yard and combined weighting method is proposed. Intelligence performance under multiple dynamic execution periods and complexities are synthesized to evaluate the intelligence capability. Aiming at discussing UAVS intelligence across missions, the evaluated intelligence capability is transformed to intelligence level by the designed intelligence classification framework and the standard swarm intelligence. An intelligence evaluation instance is provided to verify the effectiveness of the proposed method. The intelligence evaluation framework and method can fully consider the dynamic performance and mission execution complexities of the swarm system, and evaluate the intelligent capabilities of UAVS from multiple dimensions. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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FVFH: An Improved Navigation Algorithm for UGVs in the Complex Disaster Environment

FVFH: An Improved Navigation Algorithm for UGVs in the Compl...

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2023 China Automation Congress, CAC 2023

作者： Xu, Nengwei Yang, Kun Chen, Chen School of Automation The National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350303759

The problem of navigation by unmanned ground vehicles (UGVs) in disaster areas is widely investigated. An environmental simulation model of disaster areas is established in order to solve this problem. The Focus Vector Field Histogram (FVFH) navigation algorithm for UGVs is designed: 1) A screening mechanism for the moving direction of the UGV is proposed;2) The dynamic constraints of realistic UGVs are considered. The performance of the algorithm is tested on the Gym and CoppeliaSim platforms. The experimental results show that the FVFH algorithm can effectively shorten the planning time and navigation paths, and overcome special terrain obstacles with a high navigation success rate. Thus, the FVFH algorithm is helpful for navigation in complex disaster environment. © 2023 IEEE.

关键词： Motion planning

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Fixed-time Sliding Mode Consensus Control for Nonlinear Multi-agent systems with External Disturbances 43

Fixed-time Sliding Mode Consensus Control for Nonlinear Mult...

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43rd Chinese Control Conference, CCC 2024

作者： He, Yingmei Xin, Bin Yang, Yixi Cheng, Shuai Beijing Institute of Technology School of Automation Beijing100081 China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing100081 China

ISBN: (纸本)9789887581581

This paper studies the consensus tracking problem of nonlinear multi-agent systems with external disturbances and proposes a new fixed-time sliding mode consensus control method based on disturbance observer. A new fixed-time disturbance observer is constructed, which accelerates the estimation speed of disturbances. Based on the observer, a disturbance resistant fixed-time sliding mode consensus control protocol is designed to help the state tracking errors of the multi-agent systems converge to a small neighborhood of zero within a fixed time. The comparative simulation results demonstrate the effectiveness of the proposed strategy. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Sliding mode control

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RIS Design for CRB Optimization in Source Localization with Electromagnetic Interference

RIS Design for CRB Optimization in Source Localization with ...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Jiang, Yuhua Yuan, Wanmai Gao, Feifei State Key Lab of Intelligent Technologies and Systems Beijing China Institute Information Science Academy of Cetc China

ISBN: (纸本)9798350345384

Reconfigurable intelligent Surface (RIS) plays an important role in enhancing source localization accuracy. Based on the information inequality of Fisher information analyses, the Cramér-Rao Bound (CRB) of the localization error can be used to evaluate the localization accuracy for a given set of RIS coefficients. In this paper, we adopt the manifold optimization method to derive the optimal RIS coefficients that minimize the CRB of the localization error with the presence of electromagnetic interference (EMI), where the RIS coefficients are restricted to lie on the complex circle manifold. Simulation results are provided to validate the proposed studies under various circumstances. © 2023 IEEE.

关键词： Signal interference

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Adaptive Multi-Swarm Differential Evolution Algorithm for UAV Path Planning

Adaptive Multi-Swarm Differential Evolution Algorithm for UA...

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2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Wu, Tongyu Meng, Kai Chen, Chen School of Automation Beijing Institute of Technology National Key Lab of Autonomous Intelligent Unmanned Systems Beijing China

ISBN: (纸本)9798350316308

Path planning for unmanned aerial vehicles (UAVs) remains a crucial prerequisite for UAV application in various fields. However, due to the complexity of the model, several state-of-the-art methods may encounter challenges in finding feasible solutions or be prone to getting stuck in local optima, especially in the complex 3D battlefield environment. An adaptive multi-swarm differential evolution algorithm (AMSDE) is put forward to address these problems. First, we employ the ϵ-level comparison to ensure the feasibility of the solution. Second, we design an adaptive swarm partitioning technique to avoid crossover evolution between sub-swarms caused by random partitioning. Third, the hierarchical update mechanism is implemented to guide each sub-swarm's search. It facilitates effective communication between sub-swarms and keeps the balance of exploration and exploitation. Experiment results have shown that AMSDE is competitive compared with other excellent algorithms, proving its capability to generate higher-quality paths for UAVs. © 2023 IEEE.

关键词： Motion planning

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Flexible electronics and micro/nanomanufacturing

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National Science Open 2025年第2期4卷 4-6页

作者： Zhouping Yin Jinyou Shao State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Frontier Institute of Science and Technology (FIST) Xi'an Jiaotong University

Flexible electronics is an emerging technology, which breaks through the constraints of traditional rigid electronics, enabling electronic devices to adapt to various complex application scenarios. Meanwhile, a variety of functions including sensing, actuation and energy harvesting, promote flexible electronics to be widely used in healthcare, robotics, Internet of Things, and so on.

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Deep Reinforcement Learning for Multi-Period Facility Location: pk-median Dynamic Location Problem 24

Deep Reinforcement Learning for Multi-Period Facility Locati...

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32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information systems, ACM SIGSPATIAL 2024

作者： Miao, Changhao Zhang, Yuntian Wu, Tongyu Deng, Fang Chen, Chen National Key Lab of Autonomous Intelligent Unmanned Systems Beijing100081 China School of Automation Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798400711077

Facility location is a crucial aspect of spatial optimization with broad applications in urban planning. Specifically, the multi-period problem involves spatial and temporal information, making it challenging to solve. Existing research mainly focuses on heuristic methods, which depend on complex hand-crafted techniques. In this paper, we propose a novel method based on Deep Reinforcement Learning (DRL) to solve pk-median Dynamic Location Problem (DLP-pk). Different from classical heuristic methods, our method avoids intricate designs and considers the temporal impacts of decisions. We are the first to apply DRL to the multi-period facility location problem. Our method adopts the encoder-decoder architecture and utilizes a specialized structure to capture the temporal features across different periods. On the one hand, we introduce the Gated Recurrent Units (GRU) to encode temporal information, including dynamic coverage and dynamic costs. On the other hand, we design an attention-based decoder that allows the model to capture long-term dependencies in decision-making. Experimental results from small-size to large-size demonstrate that our method can quickly provide high-quality solutions without relying heavily on expert knowledge, offering opportunities for efficiently solving multi-period facility location problems. Additionally, our method is up to two orders of magnitude faster than the exact solver Gurobi and demonstrates great generalization abilities. © 2024 Copyright held by the owner/author(s).

关键词： Deep reinforcement learning

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Frequency-constrained Unit Commitments with Linear Rules Extracted from Simulation Results Considering Regulations from Battery Storage

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Journal of Modern Power systems and Clean Energy 2023年第4期11卷 1041-1052页

作者： Jiawei Zhang Zhichao Chen Ning Zhang Xianfeng Zhang State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Science and Technology Research Institute ChinaThreeGorgesCorporationBeijing100038China

Heavy renewable penetrations and high-voltage cross-regional transmission systems reduce the inertia and critical frequency stability of power systems after ***,the power system operators should ensure the frequency nadirs after possible disturbances are within the set restriction,e.g.,0.20 *** methods utilize linearized and simplified control models to quantify the frequency nadirs and achieve frequency-constrained unit commitments(FCUCs).However,the simplified models are hard to depict the frequency responses of practical units after ***,they usually neglect the regulations from battery *** paper achieves FCUCs with linear rules extracted from massive simulation *** simulate the frequency responses on typical thermal-hydro-storage systems under diverse unit online ***,we extract the rules of frequency nadirs after disturbances merely with linear support vector machine to evaluate the frequency stability of power *** algorithm holds a high accuracy in a wide range of frequency ***,we apply the rules to three typical cases to show the influences of frequency constraints on unit commitments.

关键词： Frequency regulation unit commitment machine learning rule extraction primary frequency regulation energy storage support vector machine

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