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Data-driven cooperative optimal output regulation for linear discrete-time multi-agent systems by online distributed adaptive internal model approach

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Science China(Information Sciences) 2023年第7期66卷 30-45页

作者： Kedi XIE Yi JIANG Xiao YU Weiyao LAN Department of Automation Xiamen University Department of Electrical Engineering City University of Hong Kong Key Laboratory of Control and Navigation(Xiamen University) Fujian Province University

In this study, a data-driven learning algorithm was developed to estimate the optimal distributed cooperative control policy, which solves the cooperative optimal output regulation problem for linear discretetime multi-agent systems. Notably, the dynamics of all the agent systems and exo-system is completely unknown. By combining adaptive dynamic programming with an internal model, a model-free off-policy learning method is proposed to estimate the optimal control gain and the distributed adaptive internal model by only accessing the measurable data of multi-agent systems. Moreover, different from the traditional cooperative adaptive controller design method, a distributed internal model is approximated online. Convergence and stability analyses show that the estimate controller generated by the proposed data-driven learning algorithm converges to the optimal distributed controller. Finally, simulation results verify the effectiveness of the proposed method.

关键词： adaptive dynamic programming cooperative control distributed adaptive internal model multi-agent systems optimal output regulation

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Plant Disease Detection Using Machine Learning 4

Plant Disease Detection Using Machine Learning

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4th International Conference on Intelligent Technologies, CONIT 2024

作者： Parida, Amit Kumar Stonier, Albert Alexander Vit University School of Electrical Engineering Department of Control and Automation Vellore India Vellore Institute of Technology School of Electrical Engineering Vellore India

ISBN: (纸本)9798350349900

Plant diseases are a serious threat toworld agriculture, resulting in lower agricultural yields and financial losses. This study examines how machine learning methods could revolutionize the identification of plant diseases. The shortcomings of conventional approaches and suggest combining machine learning models with cutting-edge imaging and data processing technologies to improve the diagnosis's speed and precision. This research demonstrates how well machine learning methods, such as CNN and SVM, can distinguish between healthy and unhealthy plants. Also gone through how transfer learning can be used, especially when data is scarce, to modify previously trained models for illness detection. © 2024 IEEE.

关键词： Adversarial machine learning

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On the optimality of uniform velocity-deceleration separation scheme for tethered satellite systems

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control Theory and Technology 2024年第4期22卷 503-516页

作者： Peng Yu Ji-Feng Zhang Shuping Tan Jin Guo Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Beijing Institute of Control Engineering Beijing100094China

For mitigating the libration angle fluctuation of the tethered satellite system,this paper discusses how to make the uniform velocity-deceleration separation scheme achieve the best ***,a judgment condition is established to determine the tether state by comparing the tether length and the relative distance of the sub-satellite and the parent *** on the tethered satellite system dynamics equation and Clohessy-Wiltshire equation,dynamic models are given for four cases of tether ***,the influence of the uniform velocity-deceleration separation scheme on the libration angle is analyzed by taking the libration angle at the separation ending time and the mean absolute value of the libration angle as index ***,the optimality problem of the uniform velocity-deceleration separation scheme is formulated as an optimization problem with constraints,and an approximate solution algorithm is given by combining the back propagation neural network and Newton-Raphson method of multiple initial ***,the effectiveness of the proposed method is verified by a numerical simulation.

关键词： Tethered satellite systems Libration angle Uniform velocity-deceleration separation Neural network

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Comparative Analysis of Vibration and Noise of Axial Flux Motor with Different Pole and Slot Combinations

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Chinese Journal of electrical engineering 2023年第4期9卷 144-156页

作者： Qixu Chen Zhizhong Chen Guoli Li Dechen Wu Peng Li School of Electrical Engineering and Automation Anhui UniversityHefei 230601China National Engineering Laboratory of Energy-Saving Motor&Control Technology Anhui UniversityHefei 230601China

The electromagnetic vibration noise in axial flux motors was meticulously *** this study,24-slot/10-pole and 12-slot/10-pole axial flux motors were chosen as the subjects of *** spatial characteristics of the axial electromagnetic force were derived analytically and confirmed via two-dimensional Fourier *** finite-element method was used to simulate the low-order axial modes of both ***,a modal experiment on the stator of a 24-slot/10-pole axial flux motor was conducted to validate the simulation’s *** integrating the electromagnetic and structural models,a comprehensive multi-physical field model was developed to calculate the vibration noise of the axial flux *** precision of this model was subsequently corroborated with noise *** findings from this study aim to offer insights into identifying the sources of vibration noise in axial flux motors.

关键词： Axial electromagnetic force vibration noise axial flux motors modal analysis

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Techno-economic Analysis of Hybrid Renewable Energy Storage Optimal Sizing in Urban Energy System 6

Techno-economic Analysis of Hybrid Renewable Energy Storage ...

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6th International Conference on electrical, control and Instrumentation engineering, ICECIE 2024

作者： Sarfraz, Muhammad Tao, Xu Zafar, Ahsan Ansari, Mahrukh Ahmed, Awais School of Electrical and Information Engineering Tianjin University Tianjin China Control and Automation Engineering Tianjin University Tianjin China

ISBN: (纸本)9798350380040

Advances in renewable energy systems have inevitably created opportunities like realizing self-sufficient and carbon emission-free energy systems and challenges such as optimal scheduling and sizing of single or multiple energy storages in energy systems. This study discusses the technical and economic objective functions for optimum sizing of renewable energy storage in the urban energy system i.e. grid and solar photovoltaic as the main power generation sources. It is perceived that leveraging energy storage according to the capability of each storage technology is the intelligent approach, as each storage technology comes up with some merits and demerits such as battery storage has a rapid response i.e. less than one second and higher round trip efficiency i.e. greater than 90% but it has a self-discharge rate of around 1% and capacity loss of 20%. As far as hydrogen storage is concerned it has a higher energy density but cycle efficiency of hydrogen storage is merely 50%. So, using these renewable storage technologies individually does not result in an efficient, economical, and reliable system. Thus, this paper analyzes the different combinations of these storage technologies into hybrid optimization by implementing, volatile grid electricity rates, limiting battery operation, precise battery and hydrogen usage, and limiting grid operation to achieve lowest energy cost, capacity shortage, and net present cost objective functions. © 2024 IEEE.

关键词： Clean energy

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Improvement of polypropylene/silicone rubber interface by insulating oils with pressure optimization

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IEEE Transactions on Dielectrics and electrical Insulation 2025年第3期32卷 1289-1296页

作者： Luo, Zhaorui Chu, Jincheng Wang, Liyan Lu, Tianhe Tian, Zhengbing Li, Zhonglei Fang, Zhi Zhu, Xi Nanjing Tech University College of Electrical Engineering and Control Science Jiangsu Nanjing211816 China ZTT Cable Accessories Co. Ltd Jiangsu Nantong226010 China Tianjin University School of Electrical Automation and Information Engineering Tianjin300072 China

Cable accessory insulation system is inevitably affected by its interface states causing insulation failure. Insulating oils are often applied in the interface with a certain pressure to improve its performance, but the mismatching and degradation of polymer in insulating oils seriously affects the interface stability. This study focuses on polypropylene (PP) insulation and aims to improve its typical accessory interface with silicone rubber (SIR) by insulating oils with pressure. Results show that hydrocarbon oil has the biggest negative impact on PP with the most mass increment, more surface deposits and significant deteriorating in both mechanical and electrical properties. By contrast, appropriate absorption of Si-containing oil helps modify surface and fill initial defects of PP, promoting insulating performance. Furthermore, it is found that interface pressure is conductive to fabricate a stable PP/insulating oil/SIR structure with excellent insulating performance. However, excessive pressure causes a negative impact due to interface deformation of materials. Based on the analysis of interface microstructure and the calculation of contact stress between metal electrode and polymer, the mechanism of coupling interaction among polymer, insulating oil and external pressure is revealed. This research on the improvement of insulation interface can provide a key reference and basis for the manufacturing and optimizing of cable insulation. © 1994-2012 IEEE.

关键词： Silicone rubber

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Reinforcement learning-based unknown reference tracking control of HMASs with nonidentical communication delays

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Science China(Information Sciences) 2023年第7期66卷 46-57页

作者： Yong XU Zheng-Guang WU Wei-Wei CHE Deyuan MENG School of Automation Beijing Institute of Technology Institute of Cyber-Systems and Control Zhejiang University College of Mathematics and Computer Science Zhejiang Normal University Department of Automation Qingdao University School of Automation Science and Electrical Engineering Beihang University(BUAA)

This paper focuses on the optimal output synchronization control problem of heterogeneous multiagent systems(HMASs) subject to nonidentical communication delays by a reinforcement learning *** with existing studies assuming that the precise model of the leader is globally or distributively accessible to all or some of the followers, the leader's precise dynamical model is entirely inaccessible to all the followers in this paper. A data-based learning algorithm is first proposed to reconstruct the leader's unknown system matrix online. A distributed predictor subject to communication delays is further devised to estimate the leader's state, where interaction delays are allowed to be nonidentical. Then, a learning-based local controller, together with a discounted performance function, is projected to reach the optimal output synchronization. Bellman equations and game algebraic Riccati equations are constructed to learn the optimal solution by developing a model-based reinforcement learning(RL) algorithm online without solving regulator equations, which is followed by a model-free off-policy RL algorithm to relax the requirement of all agents' dynamics faced by the model-based RL algorithm. The optimal tracking control of HMASs subject to unknown leader dynamics and communication delays is shown to be solvable under the proposed RL algorithms. Finally, the effectiveness of theoretical analysis is verified by numerical simulations.

关键词： heterogeneous multiagent systems HMAS reinforcement learning RL optimal output synchronization communication delays

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A Fractional Order Fast Repetitive control Paradigm of Vienna Rectifier for Power Quality Improvement

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Computer Modeling in engineering & Sciences 2023年第2期134卷 1159-1176页

作者： Sue Wang Xintao Luo Saleem Riaz Haider Zaman Chaohong Zhou Pengfei Hao School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi’anChina School of Automation Northwestern Polytechnical UniversityXi’anChina Electronics Engineering Department University of Engineering and Technology PeshawarKhyberPakhtunKhwaPakistan

Due to attractive features,including high efficiency,low device stress,and ability to boost voltage,a Vienna rectifier is commonly employed as a battery charger in an electric vehicle(EV).However,the 6k±1 harmonics in the acside current of the Vienna rectifier deteriorate theTHDof the ac current,thus lowering the power ***,the current closed-loop for suppressing 6k±1 harmonics is essential tomeet the desired total harmonic distortion(THD).Fast repetitive control(FRC)is generally adopted;however,the deviation of power grid frequency causes delay link in the six frequency fast repetitive control to become non-integer and the tracking performance to *** paper presents the detailed parameter design and calculation of fractional order fast repetitive controller(FOFRC)for the non-integer delay *** finite polynomial approximates the non-integer delay link through the Lagrange interpolation *** comparing the frequency characteristics of traditional repetitive control,the effectiveness of the FOFRC strategy is ***,simulation and experiment validate the steadystate performance and harmonics suppression ability of FOFRC.

关键词： Vienna rectifier fast repetitive control fractional order performance analysis

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Optimal Scheduling of an Independent Electro-Hydrogen System with Hybrid Energy Storage Using a Multi-Objective Standardization Fusion Method

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Energy engineering 2025年第1期122卷 63-84页

作者： Suliang Ma Zeqing Meng Mingxuan Chen Yuan Jiang School of Electrical and Control Engineering North China University of TechnologyBeijing100144China ChinaThree Gorges Technology Co. Ltd.Beijing100032China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China

In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is ***,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical *** deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s *** optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization *** proposed method better balances all optimization objective functions and reduces the impact of their *** the cost of BESS decreases by approximately 30%,its participation deepens by about 1 ***,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase *** study aims to provide a more reasonable approach to solving multi-objective optimization problems.

关键词： Electro-hydrogen system multi-objective optimization standardization method hybrid energy storage system

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Disturbance-rejection control of Motor Position Servo Systems with Experimental Evaluation

Disturbance-rejection Control of Motor Position Servo System...

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2024 China automation Congress, CAC 2024

作者： Pan, Zhengquan Yang, Jianyu Cheng, Guoyang College of Electrical Engineering and Automation Fuzhou University Fujian China College of Electrical Engineering and Automation Fuzhou University The Fuzhou University INVT Industrial Control Joint Laboratory Fujian China

ISBN: (纸本)9798350368604

In this paper, a position servo controller is designed for motor position servo control, incorporating equivalent-input-disturbance (EID) compensation and a finite-time control law. This approach effectively suppresses unknown disturbances and ensures high-precision tracking of reference inputs. The disturbance estimate is then fed back to the control input to establish an anti-disturbance position servo controller. This controller is compared with a controller based on finite-time extended state observer. Finally, simulations and experiments verify that the proposed method can achieve fast and accurate positioning, demonstrating strong robustness against external disturbances and uncertainties. © 2024 IEEE.

关键词： Disturbance rejection

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