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Siberian Conference on control and Communications (SIBCON)

作者： Danil Lyapunov Sergey Lyapushkin Anton Yudintsev Division for Power and Electrical Engineering School of Energy and Power Engineering National Research Tomsk Polytechnic University Tomsk Russia Research Institute of Automation and Electromechanics Tomsk State Institute of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9781665476294

This paper delves into the problem of designing a buck converter, serving as the key element for testing sets, also known as load simulators. These simulators impose varying electric load onto power supplies that may be employed in harsh environments and under temperatures below 0 0 C. This provides ground testing for such supplies over a wide range of electric loads as well as creating the proper voltage waveform on the supply terminals. For this purpose, we implement a subordinate control system containing an internal inductor current loop and main output voltage feedback of the buck converter topology. Within the present research frameworks, a methodology of the control system designing, have been outlined. The resulting voltage and current waveforms confirm the correctness of the presented methodology and applicability of the buck converter with subordinate control system as a functional component of load simulators.

关键词： Renewable energy sources Buck converters Power supplies Heuristic algorithms control systems Topology Smart grids

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CMAC-Based Sliding-Mode control for Large-Scale Fuzzy Descriptor systems

CMAC-Based Sliding-Mode Control for Large-Scale Fuzzy Descri...

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IEEE International Conference on Robotics and Biomimetics

作者： Zhixiong Zhong Zhenghua Shao Zhijie Huan Xingyi Wang Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China

ISBN: (纸本)9781665481106

This paper addresses the problem of sliding-mode control for large-scale fuzzy descriptor systems subject to unknown uncertainties. First, a CMAC neural network is used to approximate the unknown uncertainties, and the CMAC-based sliding-mode controller is proposed. Then, a compensation technique is employed to eliminate the influence on the approximation error stemmed from CMAC model. We use the gradient-descent method to online tune the parameters of CMAC and the Lyapunov function is introduced to ensure the stability of the closed-loop control system and the CMAC's convergence. Finally, the effectiveness and correctness of the obtained theories are verified by the tracking control of multi-autonomous underwater vehicles (AUVs).

关键词： Uncertainty Biomimetics Neural networks Approximation error Stability analysis Sliding mode control Underwater vehicles

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Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators

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Science China(Information Sciences) 2021年第7期64卷 80-91页

作者： Tairen SUN Long CHENG Zengguang HOU Min TAN School of Electrical and Information Engineering Jiangsu University State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences

This paper proposes a sliding-mode disturbance observer(SMDOB)-based tracking controller for a class of nonlinear systems with modeling uncertainties and external disturbances. The SMDOB is constructed using an extended state observer embedded by a filtered sliding mode term. The chattering caused by the sliding mode is compressed by the frequency bandwidths of both the extended state observer and the control system. The novelties of the proposed controller are as follows:(1) The semiglobal asymptotical stability of the combined controller-observer system is guaranteed without the boundedness assumption of the time derivatives of modeling uncertainties;(2) the SMDOB can be implemented with a low complexity because of only three parameters to be tuned. Applications to robot manipulators illustrate the effectiveness of the SMDOB-based tracking control strategy.

关键词： adaptive control robot manipulator disturbance observer sliding mode

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control theoretically explainable application of autoencoder methods to fault detection in nonlinear dynamic systems

arXiv

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arXiv 2022年

作者： Li, Linlin Ding, Steven X. Liang, Ketian Chen, Zhiwen Xue, Ting School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Key Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation of Hunan Provincial School of Automation Central South University Changsha410083 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China

This paper is dedicated to control theoretically explainable application of autoencoders to optimal fault detection in nonlinear dynamic systems. Autoencoder-based learning is a standard machine learning method and widely applied for fault (anomaly) detection and classification. In the context of representation learning, the so-called latent (hidden) variable plays an important role towards an optimal fault detection. In ideal case, the latent variable should be a minimal sufficient statistic. The existing autoencoder-based fault detection schemes are mainly application-oriented, and few efforts have been devoted to optimal autoencoder-based fault detection and explainable applications. The main objective of our work is to establish a framework for learning autoencoder-based optimal fault detection in nonlinear dynamic systems. To this aim, a process model form for dynamic systems is firstly introduced with the aid of control theory, which also leads to a clear system interpretation of the latent variable. The major efforts are made on the development of a control theoretic solution to the optimal fault detection problem, in which an analog concept to minimal sufficient statistic, the so-called lossless information compression, is introduced and proven for dynamic systems and fault detection specifications. In particular, the existence conditions for such a latent variable are derived, based on which a loss function and further a learning algorithm are developed. This learning algorithm enables optimally training of autoencoders to achieve an optimal fault detection in nonlinear dynamic systems. A case study on three-tank system is given at the end of this paper to illustrate the capability of the proposed autoencoder-based fault detection and to explain the essential role of the latent variable in the proposed fault detection system. Copyright © 2022, The Authors. All rights reserved.

关键词： Fault detection

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Differential Steering control for 6 × 6 Wheel-drive Mobile Robot 26

Differential Steering Control for 6 × 6 Wheel-drive Mobile ...

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26th International Conference on automation and Computing, ICAC 2021

作者： Zhao, Hongqiang Luo, Chao Xu, Yongkang Li, Jiehao Central South University State Key Laboratory of High Performance Complex Manufacturing School of Mechanical and Electrical Engineering ChangSha China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing China

ISBN: (纸本)9781860435577

The 6 × 6 Wheel-drive mobile robot is widely used in the field of special operations, and there is the phenomenon of slipping in the process of steering. To study the steering accuracy and stability of mobile robot, the dynamic model of 6 × 6 Wheel-drive Mobile Robot is established, and the sliding mode control strategy of differential steering based on mobile robot is proposed. Firstly, taking the torque of six wheels and the operator's direction control as input, the three-dimensional attitude and the relative position of the steering center of the mobile robot are obtained by using the position and attitude sensor, to determine the reference steering angle of the mobile robot. Secondly, considering the relationship between the position error and the velocity error, a recursive sliding surface is designed, and a neural network is introduced to approach the uncertain part of the mobile robot model. Then, a nonlinear gain function is applied to construct a dynamic surface control law. Finally, through the Trucksim/Simulink co-simulation model, the nonlinear gain recursive sliding mode dynamic surface adaptive control method for mobile robot trajectory tracking can improve the tracking speed and control precision, and the control force and torque are smooth and reasonable. The results show that the method is effective in improving the steering accuracy and stability of mobile robot. © 2021 Chinese automation and Computing Society in the UK-CACSUK.

关键词： Mobile robots

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Comparative Studies of Several Modern control Techniques To Harvest The Maximum Energy From A PV System In Order To Charge The Battery of An Electric Vehicle Under Different Irradiances

Comparative Studies of Several Modern Control Techniques To ...

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Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET), International Conference on

作者： Younes Belhadjer Hamou Ait Abbas Kouider Laroussi Okba Fergani Billel Naceri Laboratory Of The Applied and Automation and Industrial Diagnostic University Ziane Achour Djelfa Djelfa Algeria Laboratory of Electrical and Automatic Systems Engineering (LGSEA) University Akli Mohand Oulhadj Bouira Algeria Laboratory of Electrical Engineering (LGEB) University of Biskra Biskra Algeria Laboratory of Identification Commande Control and Communication (LI3CUB) University of Biskra Biskra Algeria

ISBN: (数字)9798350346336

ISBN: (纸本)9798350346343

The study highlights the growing need for efficient and effective methods to charge EV batteries from a PV system. In this regard, the study investigates three different MPPT-based control methods and compares their performance through various performance metrics, including charging time, efficiency, and voltage stability. The double sliding mode control method employs nonlinear feedback control, enabling fast and accurate tracking of the maximum power point. The fuzzy logic control method utilizes a set of rules based on input variables and can handle uncertainties and nonlinearities in the system. The neural network control method relies on interconnected nodes that are trained to recognize patterns and adjust charging parameters accordingly. The simulation results demonstrate that all three control methods can successfully charge the EV battery and achieve good performance in terms of charging time and efficiency. However, the neural network control method outperforms the other methods by achieving a shorter charging time and higher efficiency. The findings of this study have significant implications for the widespread adoption of EVs powered by renewable energy sources, such as PV systems. The MPPT-based control methods investigated in this study have the potential to significantly improve the performance of EV battery charging systems, which will ultimately contribute to reducing the carbon footprint of the transportation sector. Although the study demonstrates the potential of MPPT-based control methods, further research is needed to validate these results in a real-world setting and explore other potential control methods for EV battery charging.

关键词： Fuzzy logic Renewable energy sources Uncertainty Simulation Neural networks Transportation Stability analysis

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Research On Thermal Characteristics And Thermal Management Of Airborne Fiber Laser

Research On Thermal Characteristics And Thermal Management O...

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2022 CSAA/IET International Conference on Aircraft Utility systems, AUS 2022

作者： Cheng, Chaoqian Li, Yang Jiao, Zongxia School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China Ningbo Institute of Technology Beihang University Ningbo China Key Laboratory of Advanced Aircraft Utility Systems Beihang University Ministry of Industry and Information Technology China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

Directed energy weapon (DEW) is the weapon equipment directly attacking targets through high-energy beams, wherein the fiber laser consumes energy and generates a lot of waste heat in the process of generating laser. The heat must be rejected in time, otherwise the efficiency of the fiber laser will be greatly compromised. Therefore, this paper analyzes the thermal characteristics of the fiber laser. A model of the fiber laser is established based on the laser composition principle. Simulations are carried out under different working conditions and show that fiber laser efficiency is mainly related to junction temperature. A thermal management system is designed. The volume, weight and temperature of cold tank are evaluated and provided as references for the thermal management system design of directed energy weapons. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Fiber lasers

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Quantized Distributed Nonconvex Optimization Algorithms with Linear Convergence under the Polyak–Lojasiewicz Condition

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IEEE Transactions on Automatic control 2025年

作者： Xu, Lei Yi, Xinlei Sun, Jiayue Shi, Yang Johansson, Karl H. Yang, Tao Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 2Y2 Canada Tongji University Shanghai Institute of Intelligent Science and Technology Shanghai201804 China KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm100 44 Sweden

This paper considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To reduce the required communication capacity, we introduce an encoder–decoder scheme. By integrating it with distributed gradient tracking and proportional integral algorithms, respectively, we then propose two quantized distributed nonconvex optimization algorithms. Assuming the global cost function satisfies the Polyak–Lojasiewicz condition, which does not require the global cost function to be convex and the global minimizer is not necessarily unique, we show that our proposed algorithms linearly converge to a global optimal point. Moreover, we show that a low data rate is sufficient to guarantee linear convergence when the algorithm parameters are properly chosen. The theoretical results are illustrated by numerical examples. © 1963-2012 IEEE.

关键词： Cost functions

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Finite-time robust control for transformerless H-bridge cascaded STATCOM with star configuration

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Journal of control and Decision 2021年第2期8卷 106-115页

作者： Xingyu Lv Bangjun Lei Shumin Fei Foreign Language Teaching Center Guizhou Institute of TechnologyGuiyangPeople’s Republic of China Key Laboratory of Power Dig Data of Guizhou Province School of Electrical and Information EngineeringGuizhou Institute of TechnologyGuiyang 550003People’s Republic of China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast UniversityNanjingPeople’s Republic of China

This article presents a finite-time robust control(FTRC)of a transformerless STATCOM based on a cascaded multilevel H-bridge converter(CMHC)with star *** FTRC is first proposed for the current loop control of a CMHC-based transformerless STATCOM by using the finite time robust control *** the parameters,perturbations and external disturbances into account and using coordinate transformation method,the nonlinear dynamic model of the CMHC-based transformerless STATCOM is transformed into a standard nonlinear port-controlled dissipative Hamiltonian(PCDH)*** on the PCDH structure,an FTRC is designed for the CMHC-based transformerless STATCOM to improve the transient stability and oscillation damping of power ***,the simulation results demonstrate that the FTRC has better dynamic performance and strong robustness in comparison with the passivity-based control of the CMHC-based transformerless STATCOM.

关键词： Cascaded H-bridge converter transformerless STATCOM finite time robust control oscillations damping transient stability

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Anti-disturbance filter design for a class of stochastic systems with fading channels

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Science China(Information Sciences) 2020年第11期63卷 327-329页

作者： Yang LIU Zidong WANG Hongli DONG Hongjian LIU College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London Institute of Complex Systems and Advanced Control Northeast Petroleum University School of Mathematics and Physics Anhui Polytechnic University

Dear editor,As a significant topic in control and signal processing communities, the filtering problem has been attracting persistent research attention in the past few decades [1]. In practical engineering, the parameter perturbations are unavoidable due mainly to exogenous disturbances, environmental changes and some other phenomena.

关键词： Stochastic systems fault detection model uncertainty anti-disturbance fading channel

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