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International Conference on Communications and Electronics, ICCE

作者： Nguyen Kien Trung Bui Duc Hieu Ho Xuan Viet Anh Tran Duc Hiep Nguyen Thi Diep School of Electrical and Electronic Engineering Hanoi University of Science and Technology Viet Nam Faculty of Electrical Engineering Hanoi University of Industry Viet Nam Faculty of Control and Automation Electric Power University Viet Nam

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

To reduce the magnetic field radiation and power loss in dynamic wireless charging systems for electric vehicles, the power is supplied only to the section of the transmitting lane where the electric vehicle is passing through, rather than to the entire transmitting lane. This paper proposes a new approach for controlling the switching of transmitting lane sections based on the position of electric vehicles. The proposed method only requires measuring current on coils below the transmitting lane to locate electric vehicles, negating the need for additional sensors or cameras. Moreover, the switching control position is selected to minimize the power pulsation of the load. The study shows that the position of the electric vehicle is accurately detected, and the power pulse rate is 5.8%.

关键词： Wireless communication Wireless sensor networks Inductive charging Switches Electric vehicles control systems Propagation losses

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On the extinction route of a stochastic population model under heteroclinic bifurcation

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Acta Mechanica Sinica 2022年第1期38卷 59-69页

作者： Qing Yu Yang Li Xianbin Liu State Key Laboratory of Mechanics and Control for Mechanical Structures College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China School of Automation Nanjing University of Science and TechnologyNanjing 210094China

The noise-induced transition of the augmented Lotka-Volterra system is investigated under vanishingly small *** will ultimately go extinct because of intrinsic noise,and different extinction routes may occur due to the Freidlin-Wentzell large deviation *** relation between the most probable extinction route(MPER)and heteroclinic bifurcation is studied in this *** MPERs and the quasi-potentials in different regimes of parameters are analyzed in *** the bifurcation,the predator goes extinct,and the prey will survive for a long ***,the heteroclinic bifurcation changes the MPER wherein both species go *** heteroclinic cycle plays a role in transferring the most probable extinction ***,the analyses of the weak noise limit can contribute to predicting the stochastic behavior under finite small *** the heteroclinic bifurcation and the rotational deterministic vector field can reduce the action necessary for the MPER.

关键词： Lotka-Volterra system Most probable extinction route Heteroclinic bifurcation Quasi-potential

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Environmental Adaptive Enhancement for the Bionic Polarized Compass Based on Multi-Scattering Light Model

SSRN

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SSRN 2024年

作者： Wang, Jue Hu, Pengwei Qian, Jianqiang Guo, Lei School of Physics Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China National Key Laboratory on Aircraft Control Technology Beijing100191 China

The bionic polarized compass is an autonomous navigation technology with long-endurance capabilities that has recently garnered the attention of numerous researchers. However, the current algorithm of the polarized compass which is based on a single-scattering model demonstrates poor adaptability to environmental disturbances. Numerous academic studies have conclusively demonstrated that the multi-scattering model offers a more accurate approximation of the actual scenario. Inspired by insects, we found that the multi-scattering model has better environmental adaptability. However, the mathematical form of the multi-scattering model is often complex, making it difficult to directly obtain the solar vector from the polarized pattern. Therefore, we propose an inverse algorithm that combines the simulated annealing algorithm and a multi-scattering model, the equivalent incident light model(EIL model), to derive the solar vector from the polarized pattern with high environmental adaptability. Five experimental sets were conducted across diverse environments, revealing that the errors associated with the bionic polarized compass are consistently below 0.4°, representing a substantial improvement compared to existing compass technology. © 2024, The Authors. All rights reserved.

关键词： Adaptive algorithms

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A Consequent Pole Flux Reversal Machine with Asymmetric V-PM Structure for High Torque Performance Applications

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IEEE Transactions on Transportation Electrification 2025年

作者： Zheng, Yuting Xiang, Wei Zhang, Liu Jin, Yong Tan, Ping Ma, Jien Zhejiang University of Science and Technology School of Automation and Electrical Engineering Hangzhou310023 China Beihang University Zhejiang Engineering Research Center of Precision Electromagnetic Control Technology and Equipment Ningbo Institute of Technology Ningbo315800 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

Conventional flux reversal machines (FRMs) are limited in torque density due to large pole flux leakage, while the inherently doubly-salient structure results in large torque ripple. In order to enhance the torque performance, a consequent pole FRM with asymmetric V-shaped permanent magnet structure (AV-CPFRM) is proposed in this paper. The pole flux leakage of the AV-CPFRM is reduced by utilizing the flux focus effect of the V-shaped magnets in conjunction with the consequent pole structure, while the torque ripple is reduced by adopting the asymmetric pole structure. Subsequently, the AV-CPFRM is optimized and analyzed, the influence of the torque performance on the asymmetric pole structure parameters is investigated. In addition, the electromagnetic performance of the optimized AV-CPFRM is compared with CP-FRM and consequent pole FRM with V-shaped magnets (V-CPFRM) based on finite element analysis. The results suggest that the AV-CPFRM reduces torque ripple by 86.6% with the average torque increase of 11% compared to the conventional CP-FRM. Finally, the AV-CPFRM prototype is constructed and experimented. © 2015 IEEE.

关键词： Permanent magnets

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A Stationary Deep Broad Kernel Support Vector Machine Method for Blast Furnace Iron-making Process Fault Diagnosis

A Stationary Deep Broad Kernel Support Vector Machine Method...

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第33届中国过程控制会议

作者： Siwei Lou Chunjie Yang Ping Wu Yuelin Yang Yonghong Xu College of Control Science and Engineering Zhejiang University School of Mechanical Engineering and Automation Zhejiang Sci-Tech University

The paper focuses on a novel fault diagnosis approach for the nonstationary blast furnace iron-making process called stationary deep broad kernel support vector machine(SDBKSVM).To eliminate the impact of nonstationary property on modeling,stationary subspace analysis(SSA) is adopted to estimate consistent underlying ***,design a multi-layer stacked deep broad kernel network to explore deep broad nonlinear information further,and a classifier based on support vector machine and corresponding parameter optimization algorithm are constructed to label the class of *** last,an actual case study based on blast furnace iron-making process(BFIP) presents the effectiveness of SDBKSVM-based fault diagnosis.

关键词： Blast furnace iron-making process stationary subspace analysis deep broad kernel feature fault diagnosis

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Sensor fault detection based on fractional-order chaotic system under strong noise and disturbance

Sensor fault detection based on fractional-order chaotic sys...

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2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2021

作者： Qi, Fei Huang, Pengfei Chai, Yi Li, Xinyi Liu, Yunling Zhu, Zheren Chongqing University School of Automation Chongqing400044 China College of Control Science and Engineering Zhejiang University Hangzhou Chongqing400044 China

ISBN: (纸本)9781665401159

Sensors are of great importance in industrial facilities and automation systems. Its fault will bring deviation to the feedback loop and cause undesired results. The detection of sensor fault is a feasible scheme to promote system reliability and safety. The strong noise and disturbance in industrial situation will affect the fault detection procedure and results severely. In this paper, a fault detection scheme based on fine-tuned fractional-order chaotic system is developed for the situation that the system of interest is with strong noise and disturbance. The fault detection scheme is tested on two different kinds of sensor faults on different sensors of continuous stirred tank reactor with strong noise and disturbance. The simulation experiment results show that the fault detection scheme achieves relatively high performance. © 2021 IEEE.

关键词： Fault detection

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Distributed Observer Design over Directed Switching Topologies

arXiv

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arXiv 2024年

作者： Xu, Haotian Liu, Shuai Wang, Bohui Wang, Jingcheng School of Control Science and Engineering Shandong University Jinan250061 China The School of Aerospace Science and Technology Xidian University Xi’an710071 China Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

The distributed observer design problem holds significant importance in cases in which the output information of a system is decentralized across different subsystems. Each subsystem has a local observer and access to one part of the measurement outputs and information exchanged through communication networks. This paper focuses on the design of distributed observer with jointly connected directed switching networks. The problem presents challenges due to passive switching modes and the open-loop unboundedness that results from local observability. To overcome these challenges, we develop a network transformation mapping method whereby each local observer can classify itself into an independent subgraph based on independent judgment. Next, an observable decomposition and reorganization method is developed for the digraph case to ensure that each subgraph possesses independent dynamic properties. Asymptotic omniscience is then proven using a developed recursive proof method. This paper includes many previous results as special cases, because most are only suitable for undirected switching topologies or fast-switching cases. An adaptive coupling gain design is proposed to simplify the calculation and verification of conditions that guarantee asymptotic omniscience. Finally, simulation results with the power system show the validity of the developed theory. © 2024, CC BY.

关键词： Continuous time systems

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A novel decision-making algorithm for beyond visual range air combat based on deep reinforcement learning

A novel decision-making algorithm for beyond visual range ai...

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Youth Academic Annual Conference of Chinese Association of automation (YAC)

作者： Yang Jiang Jianglong Yu Qingdong Li School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

ISBN: (纸本)9781665465373

In this paper, a novel decision-making algorithm based on deep reinforcement learning(DRL) is proposed for the decision-making problem in beyond visual range(BVR) air combat. Firstly, the relative kinematics model of 1 vs 1 air combat is established, and the state space and action space of the fighter are designed. Then, a new reward function is designed according to the situation of the BVR air combat, which is suitable for a wider range of BVR confrontation scenarios, and the construction of a decision-making method based on DRL is completed. Finally, several sets of experimental data are given to verify the effectiveness of the algorithm.

关键词： Deep learning Visualization Adaptation models automation Atmospheric modeling Decision making Reinforcement learning

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Distributed Optimal control and Application to Consensus of Multi-Agent Systems

arXiv

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arXiv 2023年

作者： Zhang, Liping Xu, Juanjuan Zhang, Huanshui Xie, Lihua The College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China The School of Control Science and Engineering Shandong University Jinan250061 China The School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

This paper develops a novel approach to the consensus problem of multi-agent systems by minimizing a weighted state error with neighbor agents via linear quadratic (LQ) optimal control theory. Existing consensus control algorithms only utilize the current state of each agent, and the design of distributed controller depends on nonzero eigenvalues of the communication topology. The presented optimal consensus controller is obtained by solving Riccati equations and designing appropriate observers to account for agents’ historical state information. It is shown that the corresponding cost function under the proposed controllers is asymptotically optimal. Simulation examples demonstrate the effectiveness of the proposed scheme, and a much faster convergence speed than the conventional consensus methods. Moreover, the new method avoids computing nonzero eigenvalues of the communication topology as in the traditional consensus methods. © 2023, CC BY.

关键词： Multi agent systems

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Environmental Adaptive Enhancement for the Bionic Polarized Compass Based on Multi-Scattering Light Model

SSRN

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SSRN 2024年

关键词： Adaptive algorithms

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