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2nd Conference on Flexible Electronics for Electric Vehicles, FlexEV 2021

作者： Ramaraj, Ramachandran Dharmaraj, Ganeshaperumal Balasubramanian, Subathra Kumawat, Renu Department of Instrumentation and Control Engineering School of Electronics and Electrical Technology Kalasalingam Academy of Research and Education Virudhunagar District Tamil Nadu Krishnankoil India Department of Electronics and Communication Engineering School of Electrical Electronics and Communication Engineering Manipal University Rajasthan Jaipur India

ISBN: (纸本)9789811905872

Electric vehicles (EVs) widely use brushless direct current (BLDC) motor with trapezoidal commutation due to its high-power efficiency, ability to operate at high speeds, acceleration, and less maintenance. However, load torque ripples due to trapezoidal commutation and load torque variations due to terrain conditions affect the BLDC motor speed and performance significantly. Furthermore, load torque fluctuations reduce the lifetime of driver components and the battery significantly. Therefore, efficient driver design for BLDC motors that can handle load torque variations and maintains a set-speed for BLDC motors are emerging as an urgent need in the EVs. This investigation presents a hardware-in-the-loop (HIL)-based closed-loop control of BLDC motor for electric vehicle applications. The hardware to be tested which is the proportional integral controller that adjusts the pulse-width modulation applied to the BLDC motor. The motor parameters are obtained from experiments, and their values are used in the simulations. Then the electronic control unit is developed with Arduino and is tested with the MATLAB/Simulink model. Our results demonstrate the ability of HIL to provide a controller design that matches the electric vehicle requirements. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric vehicles

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Performance Analysis of A Missile Guidance and control System Model for Precise Target Tracking 3

Performance Analysis of A Missile Guidance and Control Syste...

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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Bhattacharjee, Rituraj Mukherjee, Subhradip Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation & Control Engineerig Udupi-Karkala Road Karnataka Manipal576104 India Mvj College of Engineering Electronics and Communication Department Bangalore India

ISBN: (纸本)9798350384598

A missile navigation system model is developed and analyzed in this work. The flight command structure is a crucial component which improves the efficiency of the system. It has a major impact on both the accuracy of the strike and precise control over the missile's performance. The goal of the flight command structure is to instruct the missile to follow the steering directive produced by the control system. The system's representation is determined by how well it establishes the flying course required to intercept the target and sends the commands to the attitude control system required to keep the missile on course while taking the airframe's dynamics and relevant aerodynamic characteristics into account. The missile is guided to attack the target after it has been tracked, and its trajectory is determined by the homing guidance loop utilizing the PID controller-based autopilot mode. In the MATLAB simulation environment, dynamic performance of the missile guidance system is simulated using a step response technique based on time. © 2024 IEEE.

关键词： MATLAB

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Quantum state tomography from observable time traces in closed quantum systems

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control Theory and technology 2024年第2期22卷 222-234页

作者： Shuixin Xiao Yuanlong Wang Qi Yu Jun Zhang Daoyi Dong Ian R.Petersen University of Michigan–Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong UniversityShanghai200240China School of Engineering The Australian National UniversityCanberraACT2601Australia Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Centre for Quantum Computation and Communication Technology(Australian Research Council) Centre for Quantum DynamicsGriffith UniversityBrisbaneQLD4111Australia School of Engineering and Technology University of New South WalesCanberraACT2600Australia

The task to estimate all the parameters of an unknown quantum state, also called quantum state tomography, is essential for characterizing and controlling quantum systems. In this paper, we utilize observable time traces to identify the initial quantum state of a closed quantum system, based on the state space approach in the control theory. In the informationally complete scenario, we show that with a linear regression estimation (LRE), the mean squared error (MSE) scales as , where N is the resource number. In the informationally incomplete scenario, we introduce regularization LRE to perform the state tomography task. We employ PBH test to demonstrate that closed quantum systems with only one observable are informationally incomplete and propose using observables, where d is the dimension of the quantum state, for informational completeness. Numerical examples demonstrate the effectiveness of our method.

关键词： Quantum state tomography Time trace Quantum system identification

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Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

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Digital communications and Networks 2023年第5期9卷 1221-1229页

作者： Weishan Zhang Xiao Chen Ke He Leiming Chen Liang Xu Xiao Wang Su Yang College of Computer Science and Technology China University of Petroleum(East China)China Sichuan Energy Internet Research Institute Tsinghua UniversityChina School of Computer and Communication Engineering Beijing University of Science and TechnologyChina State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science Fudan UniversityChina

Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient training data and enough computational ***,there are challenges in building models through centralized shared data due to data privacy concerns and industry *** learning is a new distributed machine learning approach which enables training models across edge devices while data reside *** this paper,we propose an efficient semi-asynchronous federated learning framework for short-term solar power forecasting and evaluate the framework performance using a CNN-LSTM *** design a personalization technique and a semi-asynchronous aggregation strategy to improve the efficiency of the proposed federated forecasting *** evaluations using a real-world dataset demonstrate that the federated models can achieve significantly higher forecasting performance than fully local models while protecting data privacy,and the proposed semi-asynchronous aggregation and the personalization technique can make the forecasting framework more robust in real-world scenarios.

关键词： Photovoltaic power forecasting Federated learning Edge computing CNN-LSTM

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Research on material flow measurement of belt conveyor based on orthogonal machine vision 5

Research on material flow measurement of belt conveyor based...

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5th International Conference on Computer Vision and Data Mining, ICCVDM 2024

作者： Wang, Ran Li, Peiyao Wang, Heyang Zeng, Fei School of Mechanical Automation Wuhan University of Science and Technology Wuhan China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Metallurgical Equipment and Control of Ministry of Education Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781510682863

The accuracy of traditional visual flow measurement is often compromised due to the variation in the particle state of the material being transported by the belt conveyor. To address this issue, this study proposes a material flow measurement algorithm based on orthogonal machine vision. The algorithm begins by identifying the material type in the RR-CNN image, followed by establishing the material equivalent structure and visual measurement structure. Parameters are then calculated based on the movement state of the material. To improve the filtering effect, K-means clustering filtering is employed, along with a seed region growing algorithm that enhances particle shadow characteristics and image edges. Additionally, volume measurement of different filling densities is achieved using a differential grid and three-dimensional micro-elements, enabling the calculation of the mass of the collected material. Experimental results demonstrate clear particle characteristics and edges, resulting in cost savings for material measurement and a visual measurement accuracy exceeding 95%. © 2024 SPIE.

关键词： Belt conveyors

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Performance analysis of Polar Codes in a Visible Light communication System 4

Performance analysis of Polar Codes in a Visible Light Commu...

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4th National Conference on communication Systems, NCOCS 2022

作者： Vaz, Aldrin Claytus Hegde, Navya Thirumaleshwar Shetty, Akhil Appu Department of Electronics and Communication Engineering St Joseph Engineering College Vamanjoor Karnataka Mangaluru575028 India Department of Aeronautical and Automobile Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India

One of the vital entity of any communication systems is Channel coding, which leads to the design of high performance codes for future wireless systems having low complexity encoder and decoder design. These systems will have a requirement of operating in highly reliable conditions, maximum throughput, and low and high code rates and to work with short and long information messages. Polar codes are one of the promising error correcting channel codes that can be used in these situations to obtain maximum throughput and coding gain in a communication systems because of their capacity approaching performance and finds interests in Satellite communication and 4G/5G services. These codes uses the concept of channel polarization to be constructed. The work proposed in this paper focusses on the Bit Error Rate evaluation and analysis of the Polar codes using traditional approach and Deep learning approach. The feedforward deep learning networks using different activation functions were used for the Deep learning approach. The Successive Cancellation algorithm and its variant using List decoding were used as traditional decoding methodology. The results obtained using Deep learning approach were satisfactory and was matching as per the traditional decoding. © Published under licence by IOP Publishing Ltd.

关键词： Decoding

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Cu-doped SnO_(2)/rGO nanocomposites for ultrasensitive H2S detection at low temperature

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Microsystems & Nanoengineering 2023年第3期9卷 61-71页

作者： Tingting Chen Jianhai Sun Ning Xue Wen Wang Zongchang Luo Qinqin Liang Tianye Zhou Hao Quan Haoyuan Cai Kangsong Tang Kaisheng Jiang State Key Laboratory of Transducer Technology Aerospace Information Research InstituteChinese Academy of Sciences100194 BeijingChina School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of Sciences100049 BeijingChina State Key Laboratory of Acoustics Institute of AcousticsChinese Academy of Sciences100190 BeijingChina Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment School of Electronic EngineeringGuangxi UniversityNanning 530004 GuangxiChina Electric Power Research Institute of Guangxi Power Grid Co. Ltd.Nanning 530013 GuangxiChina

Hydrogen sulfide(H_(2)S)detection remains a significant concern and the sensitivity,selectivity,and detection limit must be balanced at low ***,we utilized a facile solvothermal method to prepare Cu-doped SnO_(2)/rGO nanocomposites that have emerged as promising candidate materials for H_(2)S *** of the Cu-SnO_(2)/rGO was carried out to determine its surface morphology,chemical composition,and crystal *** optimal sensor response for 10 ppm H_(2)S was~1415.7 at 120℃,which was over 320 times higher than that seen for pristine SnO_(2)CQDs(R_(a)/R_(g)=4.4)at 280℃.Moreover,the sensor material exhibited excellent selectivity,a superior linear working range(R^(2)=0.991,1-150 ppm),a fast response time(31 s to 2 ppm),and ppb-level H_(2)S detection(R_(a)/R_(g)=1.26 to 50 ppb)at 120℃.In addition,the sensor maintained a high performance even at extremely high humidity(90%)and showed outstanding long-term *** superb H_(2)S sensing properties were attributed to catalytic sensitization by the Cu dopant and a synergistic effect of the Cu-SnO_(2)and rGO,which offered abundant active sites for O_(2)and H_(2)S absorption and accelerated the transfer of electrons/holes.

关键词： stability. selectivity attributed

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Scalable parallel ultrafast optical random bit generation based on a single chaotic microcomb

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Light(Science & Applications) 2024年第4期13卷 637-644页

作者： Pu Li Qizhi Li Wenye Tang Weiqiang Wang Wenfu Zhang Brent ELittle Sai Tek Chu KAlan Shore Yuwen Qin Yuncai Wang Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of ChinaGuangdong University of TechnologyGuangzhou 51006China. Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Advanced Transducers andIntelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China. State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an 710119China. Department of Physics and Materials Science City University of Hong KongHong KongChina. School of Electronic Engineering Bangor UniversityBangorWales LL571UTUK

Random bit generators are critical for information security,cryptography,stochastic modeling,and *** and scalability are key challenges faced by current physical random bit ***,we propose a massively parallel scheme for ultrafast random bit generation towards rates of order 100 terabit per second based on a single micro-ring resonator.A modulation-instability-driven chaotic comb in a micro-ring resonator enables the simultaneous generation of hundreds of independent and unbiased random bit streams.A proof-of-concept experiment demonstrates that using our method,random bit streams beyond 2 terabit per second can be successfully generated with only 7 comb *** bit rate can be easily enhanced by further increasing the number of comb lines *** approach provides a chip-scale solution to random bit generation for secure communication and high-performance computation,and offers superhigh speed and large scalability.

关键词： resonator random chaotic

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Framework and Key Technologies for High-speed Railway Comprehensive Transport Hub 3

Framework and Key Technologies for High-speed Railway Compre...

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Xiong, Gang Zhang, Wei Liu, Xiaoming Yuan, Zhiming Zhu, Fenghua Zhang, Zundong Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China North China University of Technology School of Electrical and Control Engineering Beijing China China Academy of Railway Science Communication Signal Research Institute Beijing China Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Beijing China

ISBN: (纸本)9798350318470

The surge in urban population density in China has underscored the vital role of high-speed rail and subway systems in urban transit. Comprehensive transportation hubs, notably high-speed rail passenger terminals, have emerged as linchpins for seamless multimodal transit both within and beyond urban centers. China's railway sector vigorously champions the innovative concept of "station-city integration"and has articulated a forward-looking "16-word policy"for modern railway stations: "Seamless integration, environmental friendliness, economic viability, and intelligent accessibility". The judicious allocation of resources and the augmentation of coordination and control capabilities within comprehensive transportation hubs are imperative for the harmonious evolution of urban transit. The implementation of intelligent control systems for transportation hubs has emerged as a pivotal area of research. This study delves into the framework and critical technologies for high-speed railway comprehensive transport hubs, encompassing various components and their intricate interplay, including transport modalities, infrastructure, travelers, environmental factors, and information systems, thus forming a prototypical cyber-physical-social system. Addressing the prevalent and pressing imperative for the advancement of "station-city integration"high-speed railway comprehensive transport hubs, this research endeavor aims to surmount bottleneck challenges and refine the oversight of passenger flows at high-speed rail terminals. The findings hold noteworthy theoretical import and portend promising practical applications. © 2023 IEEE.

关键词： Integration

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A novel 2 × 1 UWB-MIMO flower bouquet shaped antenna using CSRR reducing mutual coupling for wireless communication systems

A novel 2 × 1 UWB-MIMO flower bouquet shaped antenna using ...

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2024 International Conference on Circuit, Systems and communication, ICCSC 2024

作者： Dihaji, Naima Nasraoui, Hanane Das, Sudipta El Aoufi, Jamal Kchikach, Mustapha International Academy of Civil Aviation Power Electronics and System Control Lab Higher National School of Mines Rabat Laboratory of Aeronautical Telecommunication Mohammed Vi Rabat Morocco Imps College of Engineering and Technology Department of Electronics and Communication Engineering West Bengal Chandipur India International Academy of Civil Aviation Laboratory of Aeronautical Telecommunication Mohammed Vi Nouaceur Morocco Higher National School of Mines Rabat Power Electronics and System Control Lab Rabat Morocco

ISBN: (纸本)9798350365306

In this article, a 2 × 1 UWB-MIMO flower bouquet has been discussed using a low-cost FR-4-epoxy material for wireless communication systems. This antenna provides a wider bandwidth impedance of [3.42-14.64] GHz. The reflection coefficient of the proposed work achieves - 35.04 dB. For the aims of reducing mutual coupling, a CSRR was etched on the top and the bottom of the radiation element and the isolation achieves 44.58 dB at 11.63 GHz. Furthermore, theECC parameter is less than 0.002 and the diversity gain is close to 10 dB. Moreover, the TARC parameter is low of - 10dB throughout the operating bandwidth. Therefore, the proposed design is a good choice for wireless communication systems. © 2024 IEEE.

关键词： Bandwidth

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