bluuebunny/crossref_metadata_2025_split huggingface dataset:
Composite Observer-based Finite-time Command Filtered Adaptive Control for Full-state Constraints Nonlinear Systems
Authors: Han Chaojie , Li Chunlei , Song Xiaona 
Published: June 2023

Abstract
In this paper, we look at a type of strict-feedback nonlinear systems that have neural adaptive finite-time command filtered control and full-state constraints. To begin with, indeterminate nonlinear functions are estimated using the NN. The system’s capacity to detect unmeasurable states and disturbances is done while using a composite observer, which significantly boosts the system’s anti-interference performance. Next, the issue of “complex explosion” that arose in the backstepping technique is resolved by adding a modified fractional-order filter. In order to address the full-state constraint issues, the BLF is also introduced. An adaptive finite-time tracking controller is created using Lyapunov’s theory analysis to make sure that all signals are confined to the finite time period. Lastly, a simulation study is conducted to evaluate the performance of the suggested control strategy.
High precision improved double-ended travelling wave ranging technology for offshore DC cables
Authors: Huang Haidong , Wang Ye , Ren Xuchao , Cui Yu , Li Peng 
Published: June 2023

Abstract
Aiming at the problem of fault location for offshore DC cables, this paper analyses the reasons why the double-ended method is more accurate than the single-ended method in DC transmission lines. We point out that the error in fault location on DC cables using the double-ended method mainly comes from the fact that the difference in wave speed between different segments is ignored. Therefore, based on the traditional double-ended method, this paper proposes an improved double-ended traveling wave ranging method which considers the difference in wave velocity and the actual situation of offshore cables connected in sections using flexible joint technology.
Differential rectification technique in a three-phase coil based angle sensor
Authors: Yang Jun 
Published: June 2023

Abstract
A technique of differential rectification is proposed for three-phase coil based inductive angle sensors so that the amplitude difference between any two of the amplitudes of three-phase coils is output for further signal processing. A 3-to-6 multiplexer, a low pass filter, and a 6-to-2 multiplexer are designed for the proposed technique, which is used for differential rectification, turning rectified signals into DC levels, and transmitting DC levels to the output of differential rectifiers, respectively. This differential rectification could suppress 3rd harmonic noise and common-mode noise, in order to improve the accuracy of angle calculation. The circuit of the proposed differential rectifier is given and simulation results shown in this manuscript verify the proposed circuit is feasible for three-phase coil based inductive angle sensors.
Linkage Selection Strategy Based on Attractor Profit Prediction in Heterogeneous Vehicle Network
Authors: Shen Yujie , Zhu Ziyao , Di Chenqi , Liu Xinyi 
Published: June 2023

Abstract
With the continuous development of wireless network technology, heterogeneous wireless networks with multiple network fusions and overlapping coverage have been formed. In the process of vehicles passing through different types of networks with different coverage areas at high speed, there are frequent and inefficient network switching behaviors. Aiming at this situation, a linkage selection strategy based on attractor profit prediction is proposed in a heterogeneous vehicle network. By analyzing the correlation between the wireless network transmission rate and the vehicle position, the location of the attractor update was found to reduce the transmission loss caused by network switching delay. Considering the vehicle speed and the access time of the base station, the transmission amount that the vehicle network can provide is calculated, the attractor is updated, and the network selection is made according to the state of the attractor. Compared with multi-attribute decision making, the linkage selection strategy based on attractor profit prediction can effectively improve the transmission volume of the Internet of vehicles. Through the simulation analysis, the transmission volume of the Internet of vehicles network increases by 14.07%.
Comparison of Active Full Compensation Control Algorithms for Single-phase Grounding Residual Current in Distribution Networks
Authors: Chen Hongyu , Hu Lining , Wang Han , Jia Yajun , Xi Dongmin 
Published: June 2023

Abstract
Current method and voltage method are two full compensation arc suppression control algorithms commonly used for single-phase grounding faults in the distribution network. The current method has a good compensation effect under small transition resistance, while the voltage method has a good compensation effect under large transition resistance. The existing research focuses on the control principle and implementation method of the current method and voltage method, but there is less research on the applicable boundary and comparative analysis of the control effect of these two methods. In view of this, this paper deduces the residual current full compensation theory of distribution network single-phase ground fault, introduces the control principles and implementation methods of the current method and voltage method respectively, establishes two evaluation indexes of residual current compensation accuracy and residual current compensation time, and conducts simulation and comparative research on the control effects of the two methods under different transition resistance and fault location. The results show that the dividing range of transition resistance applicable to the two methods is about 250 Ω–500 Ω. Within the dividing range, the compensation effect and control time of the two methods are equivalent. The current method surpasses the voltage method in compensation effect and control time below the dividing range, while the voltage method is superior to the current method in compensation effect and control time above the dividing range.
TMR sensor current measurement technology for overhead lines
Authors: Wu Xiangjun , Zeng Xiangjun 
Published: June 2023

Abstract
In order to meet the needs of TMR current sensors for overhead line high precision current measurement, a neighboring conductor interference magnetic field error elimination algorithm is proposed. Based on the Biot-Savard law, through the establishment of an interference magnetic field environment mathematical model, the accuracy of the error elimination algorithm is verified in maxwell simulation software. The simulation results show that under the working frequency current, the adjacent wire interference magnetic field elimination algorithm can reduce the error from 14% to less than 1%, and under the lightning wave environment, the error is reduced from 19% to less than 1%. This proves that the proposed algorithm is effective in reducing the measurement error caused by the interference magnetic field of the adjacent conductor.
Comparative Study on Modulation Modes of UWB communication
Authors: Yao Haoyuan , Huang Huijun , Fang Jinyong 
Published: June 2023

Abstract
Ultra wideband (UWB) communication technology is a communication technology that uses a very short time scale to transmit information. It has the advantages of a high transmission rate, low power consumption, and good privacy. In this paper, the basic principle of UWB technology is briefly described, several common UWB technologies are emphatically expounded, and the characteristics of each technology and their advantages and disadvantages are compared. At the same time, this article focuses on the difference between IR-UWB and DS-UWB
PID control of evaporation temperature control system based on fuzzy RBF neural network
Authors: Wang Jian 
Published: June 2023

Abstract
In this thesis, a fuzzy RBF neural network PID (RBFfnn-pid) control method is designed for temperature deviation concerning the steam curing temperature control system in the steam curing kettle of the aerated concrete block production line. The temperature control system (TCS) models of steam curing are established respectively under the control of fuzzy PID and RBFfnn-pid. Then, the control effect is analyzed by simulation in different situations. The results show that, under this condition of step signal inputting, the RBFfnn-pid control method shortens the rising time by 160 s and reduces the overshoot by 8% compared with the fuzzy PID controlling means. When the system is in a stable state, then the interference signal is added, which in contrast to the controlling means of fuzzy PID, the time for adjusting the RBFfnn-pid control to the set value is shortened by 70 seconds and there is no overshoot. The RBFfnn-pid control method enables the controlling parameters of the steaming temperature control system to be adjusted to the optimum quickly and iteratively, which improves the temperature control accuracy.
Causes and Solutions for the Mal-operation of Differential Pressure Protection of Substation
Authors: Liu Kunpeng , Yang Shaobing 
Published: June 2023

Abstract
The capacitor compensation circuit of the traction substation is affected by high-harmonics and the differential voltage protection is frequently mal-operation, which causes serious disturbance to the railroad transportation order. In this paper, the effect of parasitic inductance of capacitor banks and the parameter characteristics under high harmonics are analyzed by establishing the high-frequency circuit structure of capacitor banks. Then, a fitting formula describing the differential voltage is established based on the measured data to describe the frequency variation characteristics of the differential voltage value. Finally, a solution to the problem of differential voltage protection mal-operation of capacitor banks is discussed, a Resistance-Capacitance filter circuit is designed, and the effectiveness is verified by simulation.
Three-mode switching control Strategy based on Two-Switch Buck-Boost converter
Authors: Fang Ziwen , Yang Ziwei , Zhao Jiawei , Ye Chuangxin , Yang Yahong , He Xiaobin 
Published: June 2023

Abstract
The Two-Switch Buck-Boost (TSBB) converter can adjust a wide voltage range and is widely applied in the field of aerospace power supply. According to the energy relationship among the output power of the solar array, battery, and load, the converter can operate under three different modes. To solve the problem that the input voltage is clamped in the process of battery charging and the maximum power point tracking (MPPT) of the solar array is affected, a smooth switching control strategy between three modes is proposed in this paper. The operating mode of the current converter is determined by the variation of the current integral on the output capacitor, and it is used as the condition for the converter to exit the pass-through (PT) mode. In this way, the fast and stable switching between modes can be realized, and the dynamic response of the converter can be effectively improved. In addition, in order to avoid the input voltage disturbance affecting the output characteristics, this paper proposes a closed-loop control design based on input voltage feedforward control. Plecs simulation results show that the proposed loop control strategy has good stability and reliability.
Fault diagnosis of the transformer based on QPSO-SVM
Authors: Zhao Zhenxi , Guo Yufu , Xu Ao , Wang Guan , Huang Dapeng , Yang Biao 
Published: June 2023

Abstract
In view of the shortcomings of traditional dissolved gas analysis technology low diagnostic veracity and low intelligence, this paper proposes to use QPSO to optimize the nuclear argument in the support vector machine (SVM), and on this basis, dissolved gas analysis (DGA) technology is used to diagnosis transformer faults. Firstly, the transformer data is preprocessed by DGA technology, and the processed data is used as the input amount of fault characteristics. Secondly, for the optimization of core parameters in SVM, the QPSO algorithm is combined with fault data for training and acquisition. Finally, five kinds of feature inputs are added to the model for training, and the trained multi-classification correlation vector machine is used to diagnose the test data. After case studies and comparative experimental analysis, the diagnostic accuracy of this method is as high as 94.74%, and relatively with SVM, PSO-SVM, and RVM methods, the accuracy is increased by 5.11%, 2.12%, and 2.12%, respectively.
The Validation of The Weak Coupling Assumption in Transmission Line Equations of Coaxial Cables
Authors: Ni Huiyang , Zhang Weidong , Dong Zhiwei 
Published: June 2023

Abstract
The weak coupling assumption is frequently applied when solving coaxial shielded cable problems using transmission line equations. However, there are never enough justifications or no explicit indication of valid conditions. The purpose of this study is to provide the basis that supports the weak coupling assumption and a concise method to determine under what conditions the assumption holds. First, this paper summarizes the process of solving the shielded cable problem for different coupling methods. Further, this paper explores the conditions that must be met for the assumption by contrasting the weak coupling result with the numerical exact result. By comparing the weak-coupled model and the exact model under the electric short range, the ratio curve is obtained that can intuitively judge the weak coupling assumption validity. Then the coupling factors are proposed. And two examples are used as comparisons to validate. The ratio curves and coupling factors Kmin for determining the extent and degree of validity of the WCA are proposed, and validity is proved by examples.
Robustness Enhanced Predictive Control for Dual Three Phase PMSM with Duty Ratio Modulation and Parameter-Free Solution
Authors: Sun Jinyu , Cui Jia , Ma Shiwei 
Published: June 2023

Abstract
The classical model predictive control not only relies on the motor model but also is sensitive to the system parameters. To improve the robustness of the model predictive control system, this article proposes a parameter-free predictive control for a dual three-phase PMSM with duty ratio modulation. First, the free-model theory is employed to reconstruct the prediction model of the motor, of which no parameters are needed. So, the problem of parameter mismatch between the motor and the inverter can be handled, and enhance the robustness of the system as well. Moreover, the ultra-local model is optimized with the forgetting factor recursive least-squares algorithm to improve the identification accuracy of the estimated value. Finally, the deadbeat duty ratio modulation solution is introduced to further improve operational performance while ensuring the robustness of the system. Simulation and experiment verify the feasibility and effectiveness of the proposed algorithm.
Fault branch determination method based on the amplitude information of the first wave head of the initial traveling wave of the fault
Authors: Sun Shihang , Zhou Duyao , Liu Xiaohan , Yu Kun 
Published: June 2023

Abstract
In order to solve the difficult problem of fault branch determination in multi-branch distribution networks, the transmission characteristics of fault traveling waves in the distribution line are analyzed. The variation law of fault traveling wave amplitude with fault distance and frequency is deduced theoretically, and the reasons for the difficult determination of fault branch in the distribution line are revealed. A fault branch determination method based on the energy spectral density of the amplitude of the first wave head of the fault initial traveling wave is proposed. The reference node and the reference end of distribution networks are defined. The ratio of the intrinsic amplitude matrix to the real fault matrix before offline is calculated. The fault branch determination matrix is established to realize the reliable determination of the fault branch. PSCAD is used to build a 10 kV multi-dominant network model to simulate various fault conditions to verify the fault branch determination method. The simulation results show that the method can effectively identify the fault branch and has strong reliability.
Facile coating strategy of Si/C composite anode for high-performance lithium-ion battery
Authors: Zhang Yingchuan , Han Yongkang , Lei Yike , Ni Jie , Xiao Qiangfeng 
Published: June 2023

Abstract
Attributed to its high capacity by alloying with lithium, silicon is considered to be new generation of anodes that can replace graphite and receives much attention. Alleviating the electrode failure caused by volume expansion during lithiation and shrink during delihiation in silicon anodes plays a pivotal role in promoting the industrial application of silicon anodes. In this article, we proposed a facile carbon coating strategy on the surface of silicon nanospheres to buffer the stress during charge and discharge. By controlling the low molecular weight, an ethanol-soluble phenolic resin was synthesized and further self-assembled on the surface of silicon nanoparticles to form the precursor. Uniform Si/C composites were fabricated via pyrolysis. Diffraction of x-rays confirmed that the silicon retained the pristine crystalline structure. Scanning electron microscopy revealed a homogeneous wrap of the amorphous carbon layer on the superficies of the silicon. The galvanostatic charge-discharge test proved the excellent durability of Si/C anodes. Undergoing 50 cycles of galvanostatic lithiation/delithiation at 0.2C, the retention capacity was 96%, as high as 800 mAh/g. This facile but efficient strategy is compatible with large-scale production and improves the feasibility of the practical application of silicon-based anodes.
Dynamics Model Construction and Characteristic Analysis of Heat Pipe Nuclear Reactor in Thermal State
Authors: Yin Shaoxuan , Yu Ren , Mao Wei , Song Jian , Song Xiaoseng 
Published: June 2023

Abstract
In order to facilitate the power control method design of heat pipe nuclear reactor and avoid the high complexity of reactor core modelling, the paper adopts the lumped parameter method to build the thermal state dynamic model of heat pipe reactor. Firstly, the equivalence of the core structure and heat transfer process of the “MegaPower” heat pipe nuclear reactor is carried out to describe a single heat pipe in a hexagonal block. The complex heat transfer process in reactor core is simplified into a two-zone heat transfer model with only fuel and monolith. And the equivalent thermal resistance is used to describe the heat conduction process within gas gap and heat pipe. Then, the reactor core nuclear dynamic model is established using the neutron dynamics equation of point-reactor. Based on the principle of heat balance, the thermal dynamics models of fuel, gas gap, monolith and heat pipe are established respectively, so as to form the state equations of heat generation and heat transfer process in reactor core. Finally, the dynamic characteristics of the reactor with the reactivity disturbance without external control are simulated and analysed. The results show that the heat pipe reactor has a certain self-stability with reactivity disturbance, but the stability time is long, and the power fluctuation is large.
Effect of Reynolds number and frequency on heat transfer performance of a heat exchange tube under three-dimensional periodic oscillation
Authors: Ji Weihao , Tao Hanzhong , Li Yannan 
Published: June 2023

Abstract
To explore offshore conditions’ influence on the heat transfer capacity of heat exchangers, a numerical model of a heat exchanger tube under three-dimensional periodic oscillation was realized by adding UDF to commercial software. Meanwhile, the influence of Reynolds number and frequency on the heat exchange tube’s heat transfer capacity was inquired. Through discussion, it is found that the three-dimensional oscillation can enhance heat transfer performance at relatively low frequencies under any Reynolds number. The overall heat transfer enhancement decreases as the Reynolds number increases.
Study on anode single-phase flow pressure drop law of proton exchange membrane fuel cell
Authors: Qin Hao , Chen Huicui , Zhang Tong 
Published: June 2023

Abstract
This article briefly describes the research status of water flooding and pressure drop (PD) of the fuel cell. Then, a mathematical model of the single-phase flow PD of the fuel cell anode is established using hydrodynamics theory and referring to existing research. Then, the three-dimensional fuel cell model is established with Gambit software, and the grid is divided. Then, the numerical simulation of the single-phase flow of the fuel cell is carried out with Fluent software. Through the analysis of the simulation data, the relationship between the fuel cell anode pressure drops and some main influencing factors under steady-state conditions is explored, and the fuel cell anode’s single-phase flow pressure drop model is preliminarily verified. Anodes are highly sensitive to water flooding. The study of the single-phase flow PD law has a good contrast effect on the abnormal pressure drop during water flooding of fuel cells, which can be used to diagnose water flooding.
Fault Location of Power Battery System Based on Directed Graph Model
Authors: Zhang Weiliang , Jiang Lu 
Published: June 2023

Abstract
As the core part of the electric ship, the power battery system is the fault-prone area of the whole ship due to the harsh working environment and complex structure. This paper uses the method based on the directed graph model to build the directed graph model of the ship’s power battery system with the module as the basic unit to achieve the fault location of the ship’s power battery system at the module level and carries out simulation experiments to prove the feasibility of the scheme.
Calculation of Life Cycle Carbon Emissions of Residential Buildings
Authors: Yao Qingzhen , Yin Zimin , Wang Junmei , Li Jianlong , Shao Liangshan 
Published: June 2023

Abstract
The life cycle of a residential structure is separated into three stages: materialization, usage, and demolition, according to the life cycle theory of residential buildings. Materialization, use, and demolition computation models are built based on the features of residential building life cycle carbon emissions. The model is used to calculate and analyze the sensitivity of carbon emissions during the whole life cycle of the Qianluo 1# building. The results demonstrate that the total carbon output for the building over its entire life cycle is 155526 t, with 9006 t in the materialization stage, 145620 t in the use stage, and 900 t in the destruction stage. The sensitivity analysis results show that the heating carbon emission factor is the most sensitive and has the most significant potential for emission reduction, which is a critical factor in reducing residential building life cycle emissions.