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第三十八届中国控制会议

作者： Ziyang Wang Qinglai Wei Derong Liu School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation Guangdong University of Technology

ISBN: (纸本)9781728123295;9789881563972

In this paper, an event-triggered adaptive dynamic programming(ADP) algorithm is developed to solve optimal tracking control problems. The event-triggered control law will be updated only when the triggering conditions are ***, the computational cost can be reduced and the celerity of tracking can be improved. Compared to existing works,novel triggering conditions are designed in this paper. Besides, the stability is guaranteed with less assumption. Neural networks are used to implement the tracking control algorithm. Finally, an example is employed to show the effectiveness of the algorithm.

关键词： Adaptive dynamic programming event-triggered control optimal tracking control

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An IoT Edge Computing System Architecture and its Application

An IoT Edge Computing System Architecture and its Applicatio...

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2020 IEEE International Conference on Networking, Sensing and control, ICNSC 2020

作者： Chen, Shichao Li, Qijie Zhang, Hua Zhu, Fenghua Xiong, Gang Tang, Ying Macau University of Science and Technology State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences China Beijing University of Technology State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Aerospace Smart Manufacturing Technology Development Co. Ltd Platform Research and Development Department Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Engineering Research Center of Intelligent Systems and Technology Institute of Automation Cloud Computing Center Chinese Academy of Sciences Beijing China Rowan University Department of Electrical and Computer Engineering GlassboroNJ United States Institute of Smart Education Qingdao Academy of Intelligent Industries Qingdao China

ISBN: (纸本)9781728168531

As the number of devices connected to the Internet of things (IoT) surges, the amount of data explodes. Therefore it not only increases the bandwidth load of data transmission but also aggravates the computing and storage load of a cloud platform. At the same time, the traditional computing paradigm centered on cloud computing cannot meet the real-time requirements in many application scenarios. The emergence of edge computing can solve the problems of realtime data processing and network bandwidth occupation in the current IoT scene. In this paper, according to the characteristics of IoT, such as fragmented data, heterogeneous network, and limited energy consumption, the architecture of an IoT edge computing system is constructed to suit better an IoT scene. In addition, the application of edge computing key technologies such as virtualization, edge intelligence, computing offload, collaborative scheduling and micro-services in resource-constrained IoT scenarios is analyzed in detail. Finally, the functions and application of energy consumption monitoring and optimization to a central air-conditioning system are analyzed and summarized, which is a typical application of edge computing in the context of the IoT. © 2020 IEEE.

关键词： Edge computing

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Digital Twin-based Automatic Train Regulation for Integration of Dispatching and control

Digital Twin-based Automatic Train Regulation for Integratio...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Min Zhou Zhuopu Hou Jun Liu Clive Reborts Hairong Dong State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences CRSC Research & Design Institute Group Co. Ltd. School of Electronic Electrical and Systems Engineering University of Birmingham United Kingdom

This paper proposes a framework of digital twin-based integration of train regulation and control for metro systems. We study the integration of train regulation and train control by using deep learning and hybrid search methods. Specifically, a well-trained convolutional neural network is adopted to fit the nonlinear function mapping relationship between the input set (the line conditions and running time of the train in each section) and the output set (the energy consumption of the optimal speed profile and the switching points), which greatly reduces the calculation time of the optimal recommended speed profile in the process of train regulation. An integrated optimization model is proposed with the aim to minimize the total train delay and energy consumption, a hybrid search algorithm based on particle swarm optimization and a genetic algorithm was developed to solve the problem. The effectiveness of the proposed method is verified based on the actual operating data of a Beijing subway line.

关键词： Energy consumption Neural networks Switches Search problems Regulation Delays Particle swarm optimization

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Serial-parallel Compensation Scheme of Inductor Reactive Power

Serial-parallel Compensation Scheme of Inductor Reactive Pow...

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IEEE NW Russia Young Researchers in electrical and Electronic engineering Conference (EIConRusNW)

作者： Dzliev Soslan V. Khorshev Alexey A. Tsvetkov Ilya A. Zhukova Alena A. Chaitr of Electrical Engineering Automation & Control Systems Saint Petersburg Electrotechnical University "LETI" St. Petersburg Russia

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

Frequency response of serial-parallel scheme are calculated for different quality factor of inductor represented by serial RL equivalent circuit. Calculation method of circuit parameters when it used for matching inductor with transistor voltage inverter are proposed. Comparison of serial-parallel scheme with parallel one are made.

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Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance

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Chinese Journal of Aeronautics 2019年第12期32卷 2679-2693页

作者： Yang XU Delin LUO Dongyu LI Yancheng YOU Haibin DUAN School of Aerospace Engineering Xiamen UniversityXiamen 361005China Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Department of Electrical&Computer Engineering National University of SingaporeSingapore 117583Singapore

This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods,the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design,the controllers can be used to track different time-varying target formation patterns. Besides, multilayer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results.

关键词： Affine formation control Collision avoidance Lyapunov stability Target enclosing Two-layer strategy

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An $H_{i}/H_{\infty }$ Optimization Approach to Event-Triggered Fault Detection for Linear Discrete Time systems

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IEEE Transactions on Automatic control 2020年第10期65卷 4464-4471页

作者： Maiying Zhong Steven X Ding Donghua Zhou Xiao He College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany Department of Automation Tsinghua University Beijing China

In this article, a new event-triggered H i /H ∞ optimization fault detection (FD) scheme is proposed for linear discrete time systems. A linear discrete time system with varying sampling periods is first presented to describe the dynamics of an event-triggered system. Based on this, an observer-based fault detection filter (FDF) is constructed as an event-triggered residual generator so that the generated residual signal is completely decoupled from the event-triggered transmission error. The design of event-triggered FDF is formulated as a multiobjective optimization problem denoted by H i /H ∞ and an optimal solution can be obtained by recursive calculation of Riccati equations. In addition, an event-triggered residual evaluation strategy is also presented. Comparing with the existing event-triggered FD schemes, the major contribution of this article is to decouple the residual signals from the event-triggered transmission errors completely and, consequently, the FD performance can be improved significantly. Moreover, an optimal tradeoff between the robustness of residual to unknown input and the sensitivity of residual to fault is achieved in the sense of H i /H ∞ optimization, while the design of FDF and event generator can be carried out independently. To demonstrate the effectiveness of the proposed method, a vehicle lateral dynamic system is used as a simulation example.

关键词： Optimization Fault detection Discrete-time systems Generators Robustness Sensitivity Riccati equations

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Sensor-less Complex System control of PMSM Based on Improved SMO

Sensor-less Complex System Control of PMSM Based on Improved...

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作者： Yingjie Xiong Anna Wang Tao Zhang College Of Information Science and Engineering Northeastern University Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences School of Electrical Engineering Dalian University of Technology

The sensor-less control system of PMSM is complicated,and it is of great significance to carry out accurate mathematical modeling and simulation *** is small in size,high in efficiency,and low in noise,so it is very popular in AC motor *** have been widely used in various electrical appliances such as machine tools,robots,and household *** order to reduce the high-frequency chatter of the sensor-less control strategy of permanent magnet synchronous motors,a sensor-less control method based on improved SMO is *** back-EMF component in the static coordinate system is obtained through the *** backEMF component undergoes closed-loop feedback to eliminate the high-frequency *** back-EMF component is calculated by an improved PLL to obtain the position and speed of the rotor to improve system *** the end of the article,the feasibility is proved by comparing it with the simulation of conventional SMO-PLL.

关键词： PMSM SMO with closed-loop feed back improved PLL

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Analysis of Electro-mechanical Actuator Transmission Clearance under High-temperature Conditions

Analysis of Electro-mechanical Actuator Transmission Clearan...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Zhicheng Liu Tian Yu Rui Hong Li Liu Hao Su Jionghui Lin Chaofan Jiang Yaoxing Shang School of Automation Science and Electrical Engineering Beihang University Beijing China Technology on Aircraft Control Laboratory Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China Tianmushan Laboratory Xixi Octagon City Yuhang District Hangzhou China Chengdu Aircraft Design and Research Institute Chengdu China Ningbo Institute of Technology Beihang University Ningbo China Key Laboratory of Advanced Aircraft Systems (Beihang University) Ministry of Industry and Information Technology

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304954

More Electric Aircraft with electro-mechanical actuator(EMA) or electro-hydrostatic actuator(EHA) is the development trend of new aircraft. In high temperature conditions, the transmission clearance of EMA transmission system may change because of thermal deformation. If the transmission clearance decreases, the EMA may get stuck; If the transmission clearance increases, it will affect the control accuracy of the aircraft control. This paper investigates the transmission clearance of EMA transmission system when subjected to the combined effects of an external high-temperature environment and internal heat sources. To calculate the temperature distribution of EMA transmission system, A heat transfer model of the EMA is established. Based on this temperature distribution, the EMA transmission clearance can be calculated. an EMA dynamic model, involved nonlinear clearance, is established to analysis the effects of the transmission clearance on the actuator's output performance. This research provides a reference for studying the design clearances of EMA under high temperature conditions.

关键词： Deformable models Temperature distribution Analytical models Thermodynamics Gears Deformation Time series analysis

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Nonsingular field-of-view constrained cooperative guidance with improved time-to-go estimation

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Chinese Journal of Aeronautics 2025年

作者： Xiaofei YANG Yunjie WU Weibo XIA Xiaodong LIU Haibin DUAN School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China Beĳing Aerospace Automatic Control Institute Beĳing 100854 China

This paper proposes a distributed nonsingular cooperative guidance law for multiple flight vehicles with Field-of-View (FOV) constraints. First, a novel time-to-go estimation is developed based on a FOV-constrained Proportional Navigation Guidance (FPNG) law. Then, the FPNG law is augmented with a cooperative guidance term to achieve consensus of time-to-go with predefined-time convergence prior to the impact time. A continuous auxiliary function is introduced in the bias term to avoid the singularity of guidance command. Moreover, the proposed guidance law is extended to the three-dimensional guidance scenarios and the moving target with the help of a predicted interception point. Finally, several numerical simulations are conducted, and the results verify the effectiveness, robustness, and advantages of the proposed cooperative guidance law.

关键词： Flight vehicles Cooperative guidance Field-of-view constraints Time-to-go estimation Predefined-time convergence

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Zeroth-order algorithms for stochastic distributed nonconvex optimization

arXiv

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arXiv 2021年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

In this paper, we consider a stochastic distributed nonconvex optimization problem with the cost function being distributed over n agents having access only to zeroth-order (ZO) information of the cost. This problem has various machine learning applications. As a solution, we propose two distributed ZO algorithms, in which at each iteration each agent samples the local stochastic ZO oracle at two points with a time-varying smoothing parameter. We show that the proposed algorithms achieve the linear speedup convergence rate O(√p=(nT)) for smooth cost functions under the state-dependent variance assumptions which are more general than the commonly used bounded variance and Lipschitz assumptions, and O(p=(nT)) convergence rate when the global cost function additionally satisfies the Polyak-Lojasiewicz (P-L) condition in addition, where p and T are the dimension of the decision variable and the total number of iterations, respectively. To the best of our knowledge, this is the first linear speedup result for distributed ZO algorithms, which enables systematic processing performance improvements by adding more agents. We also show that the proposed algorithms converge linearly under the relative bounded second moment assumptions and the P-L condition. We demonstrate through numerical experiments the efficiency of our algorithms on generating adversarial examples from deep neural networks in comparison with baseline and recently proposed centralized and distributed ZO algorithms. Copyright © 2021, The Authors. All rights reserved.

关键词： Cost functions

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