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Model-free Control of Permanent Magnet Synchronous Linear Motor Based on Ultra-local Model

Chinese Journal of electrical engineering 2024年第4期10卷 73-82页

作者： Guangjing Su Hongmei Li Zheng Li Yanan Zhou School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China School of Electrical Engineering Hebei University of Science and TechnologyShijiazhuang 050018China

A model-free control (MFC) method is proposed to improve the dynamic response performance of permanent magnet synchronous linear motors (PMSLMs) and reduce motor parameter changes during motor operation. The MFC is established based on an ultra-local model that uses only the input and output of the system without using any PMSLM parameters. Compared with the conventional proportional-integral (PI) control method, the robustness of the MFC system is superior and can counteract the effects of changing motor parameters and external disturbances. Simulations and experiments are conducted with steady-state operation, sudden addition and subtraction of loads, and motor parameter perturbations. The results confirm that the proposed method is useful and robust to uncertainties in motor parameters and helps improve the dynamic performance of the PMSLM.

关键词： Model-free control permanent magnet synchronous linear motor(PMSLM) ultra-local model current control

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Decentralized Optimal Control and Stabilization of Interconnected Systems With Asymmetric Information

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 698-707页

作者： Na Wang Xiao Liang Hongdan Li Xiao Lu the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266000China the School of Automation and Electrical Engineering Linyi UniversityLinyi 276000China the College of Energy Storage Technology Shandong University of Science and TechnologyQingdao 266000China

The paper addresses the decentralized optimal control and stabilization problems for interconnected systems subject to asymmetric *** with previous work,a closed-loop optimal solution to the control problem and sufficient and necessary conditions for the stabilization problem of the interconnected systems are given for the first *** main challenge lies in three aspects:Firstly,the asymmetric information results in coupling between control and estimation and failure of the separation ***,two extra unknown variables are generated by asymmetric information(different information filtration)when solving forward-backward stochastic difference ***,the existence of additive noise makes the study of mean-square boundedness an *** adopted technique is proving and assuming the linear form of controllers and establishing the equivalence between the two systems with and without additive noise.A dual-motor parallel drive system is presented to demonstrate the validity of the proposed algorithm.

关键词： Asymmetric information decentralized control forwardbackward stochastic difference equations interconnected system stalibization

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Research on simulation of gun muzzle flow field empowered by artificial intelligence

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Defence technology（防务技术） 2024年第2期32卷 196-208页

作者： Mengdi Zhou Linfang Qian Congyong Cao Guangsong Chen Jin Kong Ming-hao Tong School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China Northwest Institute of Mechanical and Electrical Engineering Xianyang712099ShaanxiChina School of Automation Nanjing University of Science and TechnologyNanjing210094China

Artificial intelligence technology is introduced into the simulation of muzzle flow field to improve its simulation efficiency in this paper.A data-physical fusion driven framework is ***,the known flow field data is used to initialize the model parameters,so that the parameters to be trained are close to the optimal *** physical prior knowledge is introduced into the training process so that the prediction results not only meet the known flow field information but also meet the physical conservation *** two examples,it is proved that the model under the fusion driven framework can solve the strongly nonlinear flow field problems,and has stronger generalization and *** proposed model is used to solve a muzzle flow field,and the safety clearance behind the barrel side is *** is pointed out that the shape of the safety clearance under different launch speeds is roughly the same,and the pressure disturbance in the area within 9.2 m behind the muzzle section exceeds the safety threshold,which is a dangerous *** with the CFD results shows that the calculation efficiency of the proposed model is greatly improved under the condition of the same calculation *** proposed model can quickly and accurately simulate the muzzle flow field under various launch conditions.

关键词： Muzzle flow field Artificial intelligence Deep learning Data-physical fusion driven Shock wave

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Autonomous navigation method of satellite constellation based on adaptive forgetting factors

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Chinese Journal of Aeronautics 2024年第7期37卷 317-332页

作者： Dong WANG Jing YANG Kai XIONG School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control EngineeringBeijing 100094China

To address the problem that model uncertainty and unknown time-varying system noise hinder the filtering accuracy of the autonomous navigation system of satellite constellation,an autonomous navigation method of satellite constellation based on the Unscented Kalman Filter with Adaptive Forgetting Factors(UKF-AFF)is *** process noise covariance matrix is estimated online with the strategy that combines covariance matching and adaptive adjustment of forgetting *** adaptive adjustment coefficient based on squared Mahalanobis distance of state residual is employed to achieve online regulation of forgetting factors,equipping this method with more *** intersatellite direction vector obtained from photographic observations is introduced to determine the constellation satellite orbit together with the distance measurement to avoid rank deficiency *** that the number of available measurements varies online with intersatellite visibility in practical applications such as time-varying constellation configurations,the smooth covariance matrix of state correction determined by innovation and gain is adopted and constructed *** analysis of the proposed method is also *** effectiveness of the proposed method is verified by the Monte Carlo simulation and comparison *** estimation accuracy of constellation position and velocity of UKF-AFF is improved by 30%and 44%respectively compared to those of the extended Kalman filter,and the method proposed is also better than other several adaptive filtering methods in the presence of significant model uncertainty.

关键词： Constellation autonomous navigation Unscented Kalman filter Adaptive forgetting factor Model uncertainty Stability analysis

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Chattering-Free Fault-Tolerant Cluster Control and Fault Direction Identification for HIL UAV Swarm With Pre-Specified Performance

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 183-197页

作者： Pei-Ming Liu Xiang-Gui Guo Jian-Liang Wang Daniel Coutinho Lihua Xie the Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing the Shunde Graduate School of University of Science and Technology Beijing IEEE Autonomous Intelligent Systems Department Hangzhou Innovation Institute of Beihang University the Department of Automation and Systems Universidade Federal de Santa Catarina the School of Electrical and Electronic Engineering Nanyang Technological University

In this paper, the problem of pre-specified performance fault-tolerant cluster consensus control and fault direction identification is solved for the human-in-the-loop(HIL) swarm unmanned aerial vehicles(UAVs) in the presence of possible nonidentical and unknown direction faults(NUDFs) in the yaw *** control strategy begins with the design of a pre-specified performance event-triggered observer for each individual *** observers estimate the outputs of the human controlled UAVs, and simultaneously achieve the distributed design of actual control signals as well as cluster consensus of the observer *** is worth mentioning that these observers require neither the high-order derivatives of the human controlled UAVs' output nor a priori knowledge of the initial conditions. The fault-tolerant controller realizes the pre-specified performance output regulation through error transformation and the Nussbaum function. It should be pointed out that there are no chattering caused by the jump of the Nussbaum function when a reverse fault occurs. In addition, to provide a basis for further solving the problem of physical malfunctions, a fault direction identification algorithm is proposed to accurately identify whether a reverse fault has occurred. Simulation results verify the effectiveness of the proposed control and fault direction identification strategies when the reverse faults occur.

关键词： Chattering-free cluster consensus fault direction identification human-in-the-loop (HIL) nonidentical and unknown direction faults (NUDFs) pre-specified performance swarm unmanned aerial vehicles (UAVs)

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Distributed Cooperative Regulation for Networked Re-Entrant Manufacturing Systems

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 636-638页

作者： Chenguang Liu Qing Gao Wei Wang Jinhu Lü the Institute of Artificial Intelligence Beihang University the School of Automation Science and Electrical Engineering Beihang University the Zhongguancun Laboratory

Dear Editor,This letter focuses on the distributed cooperative regulation problem for a class of networked re-entrant manufacturing systems(RMSs). The networked system is structured with a three-tier architecture:the production line, the manufacturing layer and the workshop layer. The dynamics of re-entrant production lines are governed by hyperbolic partial differential equations (PDEs) based on the law of mass conservation.

关键词： Smart manufacturing

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OCRBench: on the hidden mystery of OCR in large multimodal models

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science China(Information sciences) 2024年第12期67卷 23-35页

作者： Yuliang LIU Zhang LI Mingxin HUANG Biao YANG Wenwen YU Chunyuan LI Xu-Cheng YIN Cheng-Lin LIU Lianwen JIN Xiang BAI School of Artificial Intelligence and Automation Huazhong University of Science and Technology School of Electronic and Information Engineering South China University of Technology Microsoft Research School of Computer & Communication Engineering University of Science and Technology Beijing Institute of Automation Chinese Academy of Sciences School of Software Engineering Huazhong University of Science and Technology

Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. However, their effectiveness in text-related visual tasks remains relatively unexplored. In this paper, we conducted a comprehensive evaluation of large multimodal models, such as GPT4V and Gemini, in various text-related visual tasks including text recognition, scene text-centric visual question answering(VQA), document-oriented VQA, key information extraction(KIE), and handwritten mathematical expression recognition(HMER). To facilitate the assessment of optical character recognition(OCR) capabilities in large multimodal models, we propose OCRBench, a comprehensive evaluation benchmark. OCRBench contains 29 datasets, making it the most comprehensive OCR evaluation benchmark available. Furthermore, our study reveals both the strengths and weaknesses of these models, particularly in handling multilingual text, handwritten text, non-semantic text, and mathematical expression *** importantly, the baseline results presented in this study could provide a foundational framework for the conception and assessment of innovative strategies targeted at enhancing zero-shot multimodal *** evaluation pipeline and benchmark are available at https://***/Yuliang-Liu/Multimodal OCR.

关键词： large multimodal model OCR text recognition scene text-centric VQA document-oriented VQA key information extraction handwritten mathematical expression recognition

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Short-Term Power Load Forecasting Method Based on GRU-Transformer Combined Neural Network Model

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Journal of Computing and Information technology 2024年第1期32卷 1-14页

作者： Mao, Weiwei Yu, Suping Chen, Wenqing College of Computer and Information Engineering Luoyang Institute of Science and Technology Luoyang China School of Electrical Engineering and Automation Luoyang Institute of Technology Luoyang China

Load Forecast (LF) is an important task in the planning, control and application of public power systems. Accurate Short Term Load Forecast (STLF) is the premise of safe and economical operation of a power system. In the research of short-term power load forecasting, machine learning and deep learning are the most popular methods at present, but there still exists a problem that the single and simple structure of power load forecasting model leads to low accuracy of load forecasting. In order to improve the accuracy of STLF, a Gated Cycle Unit (GRU)-Transformer combined neural network model is proposed. Transformer encoder structure is used as feature extractor to mine the complex mapping relationships between the input features and load. The advantage of self-attention mechanism is used to solve the problem of information loss of long sequences in short-term power load forecasting. At the same time, the multivariate time series model of GRU is used for model training. The experimental results on the power load data set of a certain region in southwest China and Panama City show that the proposed combined model prediction method has higher accuracy than those proposed in other literatures, which further proves its feasibility and superiority. © 2024, University of Zagreb Faculty of electrical engineering and Computing. All rights reserved.

关键词： Neural network models

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The Ce-modified biochar for efficient removal of methylene blue dye:Kinetics,isotherms and reusability studies

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Chinese Journal of Chemical engineering 2025年第1期77卷 57-65页

作者： Shuaishuai Zhang Xinan Sun Qingwen Luo Lin Chi Peng Sun Lianke Zhang School of Energy and Environment Inner Mongolia University of Science and TechnologyBaotou 014010China School of Automation and Electrical Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China

Exploring modification methods for enhancing the adsorption performance of biochar-based adsorbents for effective removal of methylene blue(MB),biochar-loaded CeO_(2)nanoparticles(Ce/BC)were synthesized by pomelo peels through co-precipitation combined with the pyrolysis ***/BC showed a higher specific surface area and disorder degree than that of *** 0.5Ce/BC(mass ratio of Ce(NO_(3))_(3)·6H_(2)O/BC=0.5/1)showed the best performance to adsorption of MB solution at different reaction conditions(MB concentration,Ce/BC composites dosage,and initial pH).Adsorption kinetics and equilibrium isotherms were well-described with a pseudo-first-order equation and Langmuir model,*** addition,the maximum adsorption capacity of 0.5Ce/BC for MB was 105.68 mg·g^(-1)at 328 *** strong adsorption was attributed to multi-interactions including pore filling,π-πinteractions,electrostatic interaction,and hydrogen bonding between the composites and *** work demonstrated that the modified pomelo peels biochar,as a green promising material with cost-effectiveness,exhibited a great potential for broad application prospectively to dyeing-contaminated wastewater treatment.

关键词： CeO_(2) Biochar Methylene blue Adsorption Stability

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A Discrete-continuous Two-layer Optimization Methodologyfor Distribution Networks Considering Power Converter Embedded Hybrid On-load Regulator Transformers

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Chinese Journal of electrical engineering 2025年第1期11卷 105-118页

作者： Xu Yang Houyu He Jin Zhu Hongming Yang Yu Zheng Yu Lei Zhuo Long Yan Xu School of Automation Wuhan Universityof TechnologyWuhan 430070China Institute of Electrical Engineering Chinese Academy of SciencesBeijing 100190China School of Electrical and Information Engineering Changsha University of Science and TechnologyChangsha 410114China

In addressing voltage overruns and line lossesin distribution networks with a high percentage of distributed photovoltaic(PV)connections,traditional on-load regulator transformers can achieve only fixed-step voltage regulation and have a limited switching ***,a discrete-continuous two-layer optimization methodology for distribution networks,which accounts for power-converter-embeddedhybrid on-load regulator transformers,has been proposed to adapt to rapid stochastic fluctuations associatedwith distribution networks having a high percentage of PV *** the discrete layer,the mechanical ratio is employed as the decision variable at each *** the continuous layer,the power electronic converterratio,STATCOM compensation capacity,and energy storage charging and discharging power are utilized as decision variables at each *** optimal allocation model is established with an integrated objective function comprising the PV consumption rate,operating costs,and line losses,while simultaneously ensuring that the voltage at each node remains within the prescribed *** on this model,an improved particle swarm algorithm is employed to determine the ***,the efficacy of the proposed method is validated through enhancements of the IEEE33node system example.

关键词： Voltage optimization distributed photovoltaic power electronic converter hybrid on-load regulator transformer

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