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European control Conference (ECC)

作者： Bartłomiej Sulikowski Krzysztof Gałkowski Daniel Trzciński Eric Rogers Anton Kummert Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Institute of Automation Electronic and Electrical Engineering University of Zielona Góra Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Information and Media Engineering University of Wuppertal Wuppertal Germany

This paper develops a class of iterative learning control (ILC) laws for a subclass of uncertain spatially interconnected systems. Model uncertainties appear both in the state and the output equation of the dynamics modeled in the 2D systems setting to which existing results are not applicable. The first stage is to write the dynamics in 2D model form. Then the stability theory for a distinct class of 2D systems known as repetitive processes is used to develop the ILC law in the case of differential dynamics. This analysis results in a design algorithm that can be applied using linear matrix inequalities.

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Joint Energy Trading and Scheduling for Multi-Energy microgrids with Storage

Joint Energy Trading and Scheduling for Multi-Energy microgr...

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第三十九届中国控制会议

作者： Dafeng Zhu Bo Yang Qi Liu Kai Ma Shanying Zhu Xinping Guan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China School of Electrical Engineering Yanshan University

Considering that energy trading might not completely absorb excess renewable energy, we propose a multi-energy management framework including fuel cell vehicles, energy storage, combined heat and power system, and renewable energy to further realize the local absorption of renewable energy and enhance the economic benefits of microgrids. In order to reduce the influence of multi-energy coupling, stochastic renewable energy generation and energy demand, this paper designs a joint energy scheduling and trading algorithm based on Lyapunov optimization and a double-auction mechanism to optimize the long-term energy cost of each microgrid. Coupling with the auction mechanism is a dynamic, efficient energy trading and scheduling algorithm, which carefully decides the valuations of energy in the auction, optimally schedules energy, and judiciously purchases and sells energy on the current electricity prices. Simulations based on real data show that each individual microgrid, by carrying out the proposed algorithm, can achieve a time-averaged profit arbitrarily close to an optimum value while not compromising its own comfort.

关键词： Multi-energy microgrid energy storage energy trading Lyapunov optimization double-auction

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3-D Multi-player Pursuit-evasion Game with a Faster Evader

3-D Multi-player Pursuit-evasion Game with a Faster Evader

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第三十九届中国控制会议

作者： Xu Fang Cheng Cheng Lihua Xie School of Electrical and Electronic Engineering Nanyang Technological University Department of Control Science and Engineering Tongji University Shanghai Research Institute for Intelligent Autonomous System Tongji University

This paper studies two kinds of multi-player pursuit-evasion games in 3-D space: Two-pursuer one-evader game and multi-pursuer one-evader game. The main challenges are that the evader has faster speed than a group of pursuers and the moving directions of the pursuers and faster evader are unknown to each other. First, the concept of occupied angle is introduced to represent the dominated spaces by the pursuers. Then, escape algorithm and pursuit algorithm are designed for the evader and pursuers, respectively. Finally, escape condition and capture condition of the faster evader and pursuers are presented. Some simulation examples are given to illustrate the theoretical results.

关键词： 3-D Space Pursuit-evasion Game Faster Evader Unknown Moving Direction

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Energy Efficient Predictive control for Vapor Compression Refrigeration Cycle systems

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 953-960页

作者： Xiaohong Yin Shaoyuan Li the School of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266042China the Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China

Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.

关键词： Cooling load model predictive control(MPC) superheat vapor compression refrigeration cycle(VCC)

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Dual Grid Voltage Modulated Direct Power control of Grid-Connected Voltage Source Converter under Unbalanced Network Condition

Dual Grid Voltage Modulated Direct Power Control of Grid-Con...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Gao, Shuning Zhao, Haoran Gui, Yonghao School of Electrical Engineering Shandong University Ji'nan250061 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Ji'nan250061 China Automation and Control Section Department of Electronic Systems Aalborg University Aalborg Denmark

ISBN: (纸本)9781728135205

The Grid voltage Modulated Direct Power control (GVM-DPC) for Voltage Source Converter (VSC) is a recently proposed superior control strategies which features several advantages such as fast power reference tracking, simple structure, no need to use synchronizing techniques, strong robustness and so on. In this paper, an improved Dual Grid Voltage Modulated Direct Power control (D-GVM-DPC) strategies for unbalanced grid voltage condition is proposed and compared with regular voltage oriented dual PI control techniques. The idea of this improvement is to separately control the positive and negative sequence power components based on the original GVM-DPC controller. The simulation results shows that the proposed strategy is superior to the dual current control schemes been used with voltage oriented control strategy. © 2019 IEEE.

关键词： Electric power transmission networks

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A Visual-Inertial Vehicle Navigation system Based Line Feature

A Visual-Inertial Vehicle Navigation System Based Line Featu...

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Artificial Intelligence and Electromechanical automation (AIEA), International Conference on

作者： Xingxing Guang Yanbin Gao Pan Liu Guangchun Li Ningbo Li Henry Leung College of Automation Harbin Engineering University Harbin China Department of Electrical and Computer Engineering University of Calgary Calgary Canada Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9781728182889

ISBN: (纸本)9781728182896

In this paper, an integrated navigation system based on visual and inertial sensors for vehicles is proposed to solve the low accuracy position estimation problem caused by the unavailability signal of GNSS. In the proposed method, the visual sensor provides not only the attitude information by visual attitude method but also the motion information by visual odometer algorithm. Because the visual information is used in two separate ways, the proposed integrated navigation method has better robustness in dynamic conditions. It is verified by experiments in dynamic conditions. The experimental results show that the attitude errors of the proposed method can be reduced an order of magnitude than the previous visual attitude aided inertial navigation systems. For position estimation, the proposed method can improve the accuracy, stability, and reliability of the vehicle navigation system.

关键词： inertial integrated navigation dynamic line feature representation visual odometer vehicle navigation Vehicle navigation vehicle navigation systems Visualization position estimation Inertial navigation systems inertia sensor Navigation systems visual information Global Navigation Satellite system Attitude

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Improved Coordination of Pitch and Rotor Speed in Variable-Speed Wind Turbines for Fast Frequency Response

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Electrical engineering 2025年

作者： Abouzeid, Said I. Chen, Y. Magdy, Gaber Yu, Yexiang Abdelhameed, Esam H. School of Automation Engineering University of Electronic Science and Technology of China and Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety Sichuan611731 China Electrical Engineering Department Faculty of Energy Engineering Aswan University Aswan81528 Egypt Faculty of Engineering King Salman International University El-Tor46511 Egypt DongFang Electric Wind Power Co. LTD Deyang611731 China

Due to recent increases in renewable energy penetration levels and a decrease in electrical grid natural inertia, integrated wind turbines are required to achieve a secure frequency response. This study presents improved and secured inertial and droop control responses for variable-speed wind turbines (VSWTs) through coordinated rotor speed and pitch angle controls. In contrast to existence control methods, this approach guarantees rapid and reliable engagement across all wind speed ranges and eliminating the need for wind speed measurements. Firstly, a dynamic de-loading-based droop control was designed to directly regulate de-loading percent based on frequency deviation, removing the need for power reserve knowledge to implement secure synthesis droop control. Secondly, an improved inertial response is designed to be fast while considering the stored kinetic energy and allowable limitations. Further, two innovative supplementary control loops were implemented to improve coordination among the rotor speed, pitch, and inertial control loops during the frequency events. To validate the proposed control, a grid integrated with high-wind power integration of 40% was considered under a 10 % de-loading of the wind turbines. The efficacy and applicability of the proposed control framework were validated in different operating conditions and scenarios by simulations and hardware-in-the-loop (HIL) experiments. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Wind turbines

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system modeling and simulation for flap system power drive unit of commercial aircraft

System modeling and simulation for flap system power drive u...

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CSAA/IET International Conference on Aircraft Utility systems 2020, AUS 2020

作者： Liu, Tong Zhang, Yue Qian, Yanjun Ju, Jiachen Yu, Wenbin Department of Flight Control System Shanghai Aircraft Design and Research Institute 5188 Jinke Rd. Shanghai201210 China Department of Science and Technology Management Commercial Aircraft Corporation of China Ltd. 1919 Shibo Ave. Shanghai200126 China Department of Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave. W. WaterlooONN2L 3G1 Canada Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiaotong University 800 Dongchuan Rd. Shanghai200240 China

ISBN: (纸本)9781839535635

This paper describes the use of mathematical modelling within flap system power driving unit for commercial aircraft. The modelling process is described from the architecture of flap system, the principle and mathematical model of electrical motors and its control loop structure. The model of power driving unit and its external load system are developed in Simulink. Basic retraction and deployment function of flap has been performed, and the response of power driving unit under a typical jam failure of the actuator is provided. This work highlights the advantages of system modelling and simulation to support the load analysis of driveline components (e.g. actuators, torque shafts, etc.) within the conceptual design phase. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Actuators

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system modeling and simulation for flap system power drive unit of commercial aircraft

System modeling and simulation for flap system power drive u...

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CSAA/IET International Conference on Aircraft Utility systems (AUS 2020)

作者： T. Liu Y. Zhang Y. Qian J. Ju W. Yu Shanghai Aircraft Design and Research Institute Department of Flight Control System China Commercial Aircraft Corporation of China Ltd. Department of Science and Technology Management China University of Waterloo Department of Mechanical and Mechatronics Engineering Canada Shanghai Jiaotong University Department of Automation School of Electronic Information and Electrical Engineering China

关键词： mechanical engineering computing control engineering computing actuators aerospace components jamming design engineering aircraft power systems machine control computer simulation

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Communication and control Co-Design for Heterogeneous Industrial IoT: A Logic-Based Stochastic Switched system Approach

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IEEE Journal on Selected Areas in Communications 2025年

作者： Wang, Shuling Zhu, Shanying Chen, Cailian Shen, Fei Zhang, Weihai Guan, Xinping Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Shanghai200050 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

With the development of Industry 4.0, mobile agents are deployed to coordinate with multi-loop control systems to perform manufacturing tasks, leading to heterogeneous Internet of Things (IoT). Due to shadow fading induced by the movement of mobile agents, the wireless channel closing the control loops is inherently unreliable, which can compromise the control system performance. This paper addresses the co-design problem of transmission scheduling and agents' movement to ensure both control performance and energy efficiency. A generalized cyber-physical-agent framework is proposed to capture the coupling between IoT systems and a mobile agent through a state-dependent fading channel. Moreover, the movement of the mobile agent among areas exhibiting different levels of shadow effects is modeled by Markov decision process. To address such heterogeneous dynamics, the co-design problem is formulated into the optimization of a logic-based stochastic switched system by utilizing the semi-tensor product technique. Based on state mergence and H-representation methods, a tractable and effective algorithm is then proposed to design co-design policies, minimizing the average joint cost of communication and control. A parallel scheme is further developed to alleviate the computation burden of the algorithm. Theoretical guarantees are provided to ensure control system performance. Finally, simulation results are given to demonstrate effectiveness of the proposed method. © 1983-2012 IEEE.

关键词： Fading channels

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