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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Xu, Zhongnan Li, Xuebing Xing, Zhuolin Cheng, Zunkun Su, Zikang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Shanghai Institute of Spaceflight Control Technology Shanghai201109 China

ISBN: (纸本)9789811966125

This paper is devoted to stabilizing the receiver subjected to the time-varying fuel mass and external airflow disturbance during aerial refueling. First, the dynamics of the variable-mass receiver with 6 degrees of freedom (DOF) are formulated by constructing a rectangular non-particle tank model to expand the constant mass receiver model. Meanwhile, for the convenience of designing the controller, the dynamics are expressed in an affine nonlinear form. Second, multiple high order sliding mode observers (HOSMO) are established for precisely estimating the lumped disturbances that contain the impact of unstable airflows and unmeasured time-varying states. Then, for compensating these estimated lumped disturbances with feed-forward control, the stabilization controller based on dynamic surface control (DSC) technology is designed. Then, the closed-loop stability of the receiver stabilization control system is proved. In the end, numerical flight simulations are presented to validata the performance of the receiver stabilization controller. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Stabilization

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A Review on 3D Hand Pose and Shape Reconstruction from Color Images 43

A Review on 3D Hand Pose and Shape Reconstruction from Color...

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43rd Chinese control Conference, CCC 2024

作者： Leng, Huajian Ge, Yuting Xu, Chi China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China

ISBN: (纸本)9789887581581

The task of hand reconstruction aims to estimate the shape and pose of hands from the input images. Deep learning algorithms have shown remarkable performance in the field of computer vision in recent years, promoting the development of related algorithms. This article reviews the 3D hand reconstruction technologies, introducing the research background, value, and directions, summarizing the characteristics of datasets and evaluation metrics, and discussing the types of parametric, non-parametric, and joint mesh representation methods;it then outlines research directions in single-hand, hand-object interaction, and two-hand reconstruction, and analyzes their progress. Finally, it summarizes both the hand datasets and the algorithms, and provides a perspective on the future development of hand reconstruction. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： 3D reconstruction

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Distributed Predefined-Time Secondary control for AC Microgrid 49

Distributed Predefined-Time Secondary Control for AC Microgr...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Zhang, Yu Liu, Xiaokang Wu, Zheng Xing, Lantao School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9798350331820

Due to the widespread adoption of distributed generators and the increasing diversity of loads, AC microgrid has emerged as a prominent research area. However, there is a dearth of research outcomes that address the achievement of precise AC bus voltage/frequency restoration and active/reactive power sharing control objectives within a predefined time. In this paper, a distributed predefined-time secondary controller is presented to fulfill the aforementioned objectives without load power, which is accomplished by defining composite errors and employing a distributed predefined-time observer. Notably, the convergence time of bus voltage and the output power of converters can be tailored by a predefined parameter. Numerical simulation tests have been conducted to verify the efficacy of the predefined-time method in scenarios involving load variations and plug-and-play. © 2023 IEEE.

关键词： Reactive power

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Pre-trained Language Model - Based Real-time Formation Lithology Identification Method for Drilling Process

Pre-trained Language Model - Based Real-time Formation Litho...

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2024 China automation Congress, CAC 2024

作者： Liu, Jianyang Gan, Chao Cao, Weihua School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798350368604

Geological exploration is essential for economic and social progress, with lithology identification being a key technology that improves exploration precision and resource development efficiency. This paper presents a real-time identification method of formation lithology in drilling process based on pre-training language model, which is divided into three stages. In this first stage, the drilling data undergoes rigorous cleaning, feature selection, and normalization to eliminate noise and anomalies. In the second stage, key model inputs such as weight on bit (WOB), rate of penetration (ROP), rotation speed (RPM), torque, and pump volume (P) are identified through detailed drilling mechanism analysis. In the last stage, a real-time identification method of formation lithology in drilling process based on pre-training language model is proposed, which realizes high-precision real-time identification in drilling process. The effectiveness of the proposed method is proved by comparison with common methods. © 2024 IEEE.

关键词： Lithology

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Non-Convex Operating Zone Establishment and Alarm Limit Design for Multivariate Alarm Systems Based on Grid Clustering 43

Non-Convex Operating Zone Establishment and Alarm Limit Desi...

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43rd Chinese control Conference, CCC 2024

作者： Wei, Yujie Hu, Wenkai Li, Yupeng Cao, Weihua China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581581

Alarm systems are core components in large complex industrial facilities to ensure safe and efficient operation. Traditional univariate alarm system design methods ignore the correlation of process variables and thus may generate massive false alarms and missed alarms. An effective way of designing a multivariate alarm system is to establish the normal operating zones (NOZs) based on historical data under normal conditions. These NOZs serve as the basis for setting alarm limits in multivariate alarm systems. Given that the actual correlations between related variables are frequently unknown, a robust modeling approach is necessary to effectively handle both convex and non-convex NOZs. Thus, this paper presents a systematic method for nonconvex operating zone establishment and alarm limit design for multivariate alarm systems. A multivariate non-convex NOZ is established based on grid clustering. Then, the multidimensional grid boundary is extracted and used to determine the alarm limits for real-time samples. A numerical example is used to demonstrate the effectiveness of the proposed method. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Alarm systems

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control-oriented models of the shallow water equations using energy-conserving discretization schemes

Control-oriented models of the shallow water equations using...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Mayer, Luca Wurm, Jens Woittennek, Frank Institute of Automation and Control Engineering UMIT TIROL—Private University for Health Sciences and Health Technology Hall in Tirol Austria

In this study, we introduce higher-order approximation schemes for a 1D shallow-water model with a moving boundary and arbitrary cross-section. The model equations are formulated using Lagrange coordinates to handle the time-varying spatial domain. By discretizing the action functional on a material-fixed grid and applying an appropriate quadrature scheme, we derive a finite-dimensional model. This model, taking mass conservation into account as an auxiliary condition, results in a system of semi-explicit differential-algebraic equations (DAE). Unlike previous work, we employ higher-order quadrature formulae to enhance numerical accuracy, albeit at the cost of more complex nonlinear DAE. In order to compare the performance of the resulting models obtained from using different quadrature schemes, a comprehensive simulation study is conducted. © 2023 WILEY-VCH GmbH.

关键词： Equations of motion

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Adaptive Learning of Human Driving Behavior for Nonlinear Vehicle Systems via Fuzzy Modelling

Adaptive Learning of Human Driving Behavior for Nonlinear Ve...

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2023 China automation Congress, CAC 2023

作者： Yi, Ran Lin, Jie Wu, Huai-Ning School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University The Science and Technology on Aircraft Control Laboratory Beijing100191 China The Peng Cheng Laboratory Shenzhen518000 China

ISBN: (纸本)9798350303759

Artificial intelligence hopes machines perform tasks in a way naturally like a human being, a useful approach is behavior cloning (BC), which makes the machine learn human behavior. This paper addresses the online learning problem of human behavior based on a nonlinear human-in-the-loop (HiTL) vehicle system, where the human driver is modeled by a fuzzy controller. First, a Takagi-Sugeno (T-S) fuzzy model is constructed for the nonlinear vehicle control system. And a control model based on the parallel distributed compensation (PDC) technique is used to describe the human driver's behavior. A concurrent learning (CL)-based online adaptive law is then designed to learn the fuzzy feedback gain matrices of the fuzzy control model. Compaired with traditional approaches, the CL-based law removes the persistent excitation (PE) condition, mekes it more suitable for complex nonlinear systems. Finally, the simulation results are provided to demonstrate the effectiveness of the approach. © 2023 IEEE.

关键词： Learning systems

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Design and Application of Electric Life Test System for DC Contactor 5

Design and Application of Electric Life Test System for DC C...

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5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023

作者： You, Yimin Zhou, Shunxiong Dai, Dongyun Yuan, Huisheng Qiao, Rui Jiang, Weiyun School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350333442

In recent years, the new energy industry has ushered in a golden period of rapid development, and DC switches have been widely concerned. In view of the problems such as no zero crossing of DC switch and difficulty in extinguishing DC arc, the research objective of this paper is to build a DC contactor electrical life test system to assist the research and test verification of DC breaking performance of low-voltage appliances, and to cover DC contactors of different models and specifications (250V-1500VDC, 10-600A) in the market. Firstly, the principle of LC discharge is analyzed, and the voltage and current generated by the non-oscillating discharge process is used to provide the breaking conditions for DC contactor. Then, the design of the main circuit, the establishment of the simulation model, the determination of parameters, the test verification and the optimization of the circuit are introduced. The results of numerical simulation and experimental measurement show that the test system can support the electric life prediction of DC switches such as DC contactor and DC circuit breaker, the most difficult to break current and arc test research. © 2023 IEEE.

关键词： Electric circuit breakers

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Pinning control-Based Reconstructibility Analysis and State Estimation for Boolean Networks

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Journal of Systems Science & Complexity 2025年

作者： YANG Junqi WANG Shangkun CHEN Yantao LI Zhiqiang School of Electrical Engineering and Automation Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic University School of Mathematics and Information Science Henan University of Economics and Law

In this paper, the issues of both reconstructibility analysis and state estimation are investigated for locally reconstructible Boolean networks(BNs), where the pinning control is employed to design a special control sequence. First, this paper will focus on dealing with state unreconstructible cycle based on state set-estimation theory, and the concept of set-to-set reachability is proposed. Second, the locally reconstructible BNs are transformed to Boolean control networks(BCNs) by pinning control technique, where a logical matrix is designed by a special algorithm such that all states in the unreconstructible initial state set can evolve into the reconstructible state set, simultaneously. Third,a sufficient condition for the existence of a free Boolean control sequence is obtained, which guarantees that a locally reconstructible BN can be transformed into a reconstructible one. Besides, an optimization control algorithm is proposed to generate pinning control sequence and further optimize the reconstructibility of BNs. A kind of pinning control-based state estimation method is also ***, an example is provided to show the feasibility of the proposed methods.

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A Lightweight Steel Strip Defect Detection Method Based on YOLO 43

A Lightweight Steel Strip Defect Detection Method Based on Y...

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43rd Chinese control Conference, CCC 2024

作者： Qian, Hao Xu, Chi China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China

ISBN: (纸本)9789887581581

As an essential component of modern industry, steel strips play an indispensable role in various fields and serve as a crucial raw material in industrial production. However, due to various factors such as production technology, the surface of steel strips often exhibits unavoidable defects like scratches and crazings. Therefore, implementing online surface quality inspection for steel strips is one effective way to enhance product quality and production efficiency. This paper proposes a detection method for surface defects in steel strips based on YOLO. By optimizing the network structure of YOLOv5s, the performance on the NEU-DET dataset has improved by nearly 4 % compared to the original network's mAP value. Experimental results indicate that the detection performance of this method is significantly superior to the current mainstream lightweight detection networks. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Strip metal

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