bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Dynamic Window Approach in Dynamic Obstacle Environment
Authors: Si Mingpeng , Zhou Xiangyu , Zhang Yi 
Published: April 2023

Abstract
The dynamic window approach (DWA) controls the movement of the robot by searching the speed space and is widely used in the path planning of mobile robots. However, in the dynamic obstacle environment, when searching for the optimal speed, it is easy to fall into the local optimal solution, which leads to the failure of path planning. In this paper, we improve DWA. According to the speed of the obstacle, the safe distance of the obstacle is dynamically changed to improve the obstacle distance evaluation item of the DWA. A new evaluation item is introduced into the speed evaluation function to optimize the search rules of the DWA in the speed space. The experimental results show that in the dynamic obstacle environment, this method can ensure the robot reaches the target point smoothly and shorten the time spent in the whole process by improving the speed evaluation function.
Improved Single-phase PLL Based on All-Pass Filter
Authors: Cao Na , Feng Wenjie 
Published: April 2023

Abstract
The detection accuracy of a conventional phase-locked loop for a single phase is affected by the interference of the DC component and harmonic component when the grid has a lot of problems such as harmonic interference and DC offset, and It will be unable to accurately track the grid voltage frequency and phase. The traditional APF-PLL is improved to address this problem. An improved phase-locking algorithm is proposed, combining a CSOGI and a FLL with the conventional single-phase phase-locked loop. The method incorporates CSOGI into the APF-PLL pre-stage to reduce interference from DC and harmonic components, while FLL achieves the frequency tracking of the input signal and improves the adaptivity and dynamic response speed of the phase-locked loop. Through simulation verification, the proposed new phase-locked loop can improve the frequency tracking capability, dynamic performance, and precision of the locking phase of the PLL.
Design of Octagon Monopole Dual Frequency Indoor Positioning Beacon Antenna
Authors: Ren Qiming , Zheng Meijie , Wen Shuyao , Lin Bin , Wang Qiyu , Huang Qianyi , Wang Xingye 
Published: April 2023

Abstract
Aiming at the antenna performance requirements of Bluetooth and UWB indoor positioning system, an octagon monopole dual-frequency indoor positioning beacon antenna is made. The antenna can operate in both UWB and Bluetooth communication bands. The antenna performance is improved by grooving the antenna and adding metal strips. The use of curved and gradual structure feeders also makes the antenna get better bandwidth performance.
Simulation and Experimental Study on Aerospace Push-button Latch of Planar Four-bar Linkage
Authors: Guo Haoran , Zhang Zonghua , Zhang Zhiqiang , Yang Wenfang , Tan Xue , Wu Zilong 
Published: April 2023

Abstract
This paper analyzes the relevant research on push-button quick-release latch, and presents the dynamic model of a typical push-button latch based on a planar four-bar linkage mechanism. ADAMS software was used to simulate the opening and closing performance of the typical push-button latch. The influence of push angle, push position, push speed and push acceleration on the actual opening force measurement of the product was analyzed, as well as the preload test method of the push-button latch, and the sensor method was recommended to measure the preload force, and tested by experiments. Moreover, this paper analyzes the durability test method of push-button latch, uses the sensor to detect the change of opening and closing force in the process of durability test and studies the durability test of typical products.
Design of Data Acquisition Terminal Based on the FAT32 File System
Authors: Fang Xiaojun , Lu Baochun 
Published: April 2023

Abstract
To meet the requirement of data acquisition for some processing equipment on the wooden door production line, this paper proposes a design scheme for a data acquisition terminal based on the FAT32 file system. The terminal uses microprocessor STM32MP157 as the core, SD card as the storage medium, and transplants FAT32 file system to manage data. Based on the analysis of the principle of the FAT32 file system, this paper improved the application and recycling of clusters to slow down the frequent wear of FAT and FSinfo sectors, and improved the data storage speed. The test results show that the system is stable and reliable, and can be used in large-capacity data storage.
Multi-Sensor Fusion SLAM Method for Underground Power Pipe Gallery
Authors: Que Jianfei , Zheng Enhui , Zou Zehai 
Published: April 2023

Abstract
The satellite signal in the underground power pipe gallery is missing and the light is dim, so simultaneous localization and mapping (SLAM) is facing many challenges. Aiming at this special scene, a new SLAM method based on multi-sensor fusion is proposed by using a new type of area array laser radar and a monocular camera to build a 3D scanner. The geometric structure of the global map is obtained by fusing the pre-integrated IMU data and the lidar data. The texture and color information of the global map are supplemented by visual information rendering. A data connection bridge is built between the equipment and the local server in the form of remote networking to achieve data synchronization. The experimental results of an underground power pipe gallery in Zhejiang Province show that the method significantly improves the accuracy of 3D reconstruction in complex environments, and provides a useful reference for the development of localization and mapping of underground inspection robots.
Compressed Sensing of Traction Motor Bearing Vibration Signals based on Discrete Fourier Transform and Generalized Orthogonal Matching Pursuit Algorithm
Authors: Liu Shuli , Liu Yi , Shen Longjiang , Li Lin , Shen Yiping 
Published: April 2023

Abstract
For the bogie traction motor bearings of rail vehicles under road transportation conditions, its vibration signal full-time domain data acquisition data volume, storage pressure, subsequent data analysis difficulties, and other problems. This study proposes a data compression acquisition and data reconstruction method for bearing vibration signals based on compressed sensing (CS), which can achieve compressed sampling, transmission, and storage of the original signal with fewer observations, and restore the original signal by combining reconstruction algorithms to achieve low error reconstruction. We study the effects of different sparse transform methods on signal sparsity, as well as the signal sparse performance based on different sparse transforms and the signal reconstruction effect of different reconstruction algorithms, and propose a sparse representation method based on the discrete Fourier transform (DFT) and the generalized orthogonal matching pursuit (gOMP) algorithm for CS. Through simulation and experimental comparison, it is concluded that the method can restore and reconstruct the original high-dimensional signal with small reconstruction error, and solve the problems of massive data, inconvenient transmission, and difficult data analysis in engineering.
Application of New Sliding Mode Observer in Sensorless Control of Permanent Magnet Synchronous Motor
Authors: Zhang Yan , Lu Huacai , Xu Di 
Published: April 2023

Abstract
In view of the position sensorless control system of permanent magnet synchronous motor (PMSM) under medium and high-speed conditions, the use of traditional sliding mode observers is prone to problems such as speed and high-frequency jitter and three-phase current distortion. In this paper, a saturation function consisting of an arctangent function is used instead of a discontinuous switch symbol function at the zero point to improve the speed stability and improve the three-phase current distortion problem. Simulations in MATLAB/Simulink compare the speed and three-phase current which is sliding mode observer between the traditional and the improved, the later can effectively suppress the speed jitter and three-phase current distortion.
Research on the Integration of Wireless Sensor Networks Based on IoT Technology
Authors: Qiu Wenying , He Sijia , Gu Weixi 
Published: April 2023

Abstract
Wireless Sensor Network (WSN) is a wireless network formed by a group of sensors with wireless transceiver capabilities, connected in a multi-hop autonomous manner. It has several advantages: low traffic, greater stability, longer wireless communication, and higher coverage areas at a lower cost. The incorporation of new NB-IoT technologies in wireless sensor networks, combining the advantages of both and the establishment of NB-IoT-based wireless sensor networks, has a very promising application in defense and military, medical, intelligent transportation, and commercial applications. This study first investigates both WSN and NB-IoT technologies separately and then combines them to investigate the networking structure of NB-IoT and WSN as well as the related technologies based on the fusion. Then the coverage method of the traditional network node redeployment of wireless sensors is described, and many problems such as poor node connectivity and low coverage are caused by the traditional method due to the lack of local search of subgroup nodes. The initialization of the nodes is carried out. The global information exchange is combined with the subgroup to determine the detectable area of the wireless sensor, and the calculus method is used for the irregular area to obtain the optimal network node so that the nodes of the wireless sensor network can be redeployed.
Application of stochastic ranking based evolutionary strategy in environmental management of microgrids
Authors: Chen Tuo , Xianyu Jianchuan 
Published: April 2023

Abstract
The microgrid environmental governance problem is a single objective function, and the biogeography algorithm traditionally used for the calculation has significant shortcomings. The algorithm has a limited search range at the beginning of the iteration and tends to fall into a local optimum at the end. In addition, it is slow to converge and poor in finding the best solution when solving microgrid scheduling optimization problems. In this paper, we adopt a typical microgrid environmental management framework model and use a stochastic ranking evolutionary strategy algorithm with high performance. The objective function is to minimize the ecological management cost and optimize the rational dispatch of electricity to gas and energy storage devices. The case study proves that the stochastic ranking evolutionary strategy algorithm is more efficient and converges faster. This algorithm can effectively solve the energy dispatching optimization problem in microgrids.
Event-based Non-intrusive load real-time monitoring experimental platform
Authors: Cao Na , Li Han , Yu Qun 
Published: April 2023

Abstract
To meet the transformation requirements of the new power system and promote the construction of a cyber-physical system. A non-intrusive load detection experimental platform is designed by using a USB data acquisition card and Matlab software. The platform is designed from several aspects such as hardware circuit, data acquisition, event detection algorithm, and load identification. A comprehensive evaluation method combining accuracy and real-time is proposed. The experimental platform has solidified typical load detection algorithms and customized algorithm expansion functions, allowing researchers to conduct innovative experiments as needed. The platform allows for the organic integration of theoretical and experimental, which not only meets the basic experimental needs but also provides an ideal platform for opening innovative and comprehensive experiments.
Research on Fuzzy PID Control of Concrete Press Based on Frequency Conversion Speed Regulation System
Authors: Li Shuiping , Cheng Zhe 
Published: April 2023

Abstract
In the static compression elastic modulus test of concrete, controlling the value of the loading force is the key to the success of the test. The test requires that the set force value be reached quickly, and the fluctuation should be stable within the test standard range, even in the presence of external interference. There is no oscillation in the transient process, and the best adjustment process is achieved. This article uses a variable frequency speed regulation system to control the value of the loading force, but the hydraulic system is susceptible to fluctuations due to the influence of oil pressure and temperature. Conventional PID control cannot meet its performance requirements. As a result, this article proposes a fuzzy PID for the press’s variable frequency speed regulation system. It uses MATLAB/Simulink and the controller to simulate the system. Simulation experiments show that fuzzy PID control has a better control effect than conventional PID control.
Controller design of robot nonlinear system based on the improved fuzzy sliding mode control
Authors: Lv Yin , Jin Hui , Di Yanbiao 
Published: April 2023

Abstract
In this paper, the input-output finite time stability of fuzzy sliding mode control in nonlinear robot systems is discussed. Specifically, the system considers more realistic factors, such as uncertainty, nonlinearity, interference, and state delay. An improved fuzzy sliding mode control (FSMC) scheme is developed, which is considered in most results of FSMC schemes. Based on the input-output finite-time stability characteristics and the proposed control scheme, the objective of this work is to reduce the effects of uncertainty, nonlinearity, disturbance, and state delay. Finally, the effectiveness and superiority of the proposed method are verified by simulation and comparison with other reference methods.
A Σ-Δ Modulator Based on an Inverter-based Integrator with Dynamic Current Switch
Authors: Zhang Chunhua , Jian Mingchao , Yuan Meng , Guo Chunbing 
Published: April 2023

Abstract
This paper presents a low-power high-resolution 3rd-order 1-bit Σ-Δ modulator based on an inverter-based integrator with a dynamic current switch. To reduce the power consumption of the modulator circuit, a dynamic current switch branch is added to form a low-power inverter-based integrator. A 3rd-order 1-bit Σ-Δ modulator is designed in a TSMC 65 nm CMOS technology to verify the effectiveness of the proposed integrator circuit. The prototype Σ-Δ modulator achieves 102.4 dB SNDR, 16.71 Bit ENOB in a 2 KHz signal BW at an Over Sampling Ratio (OSR) of 160, while consuming only 29.5-μW. And the FOMSNDR
is 180.7 dB.
Research on Ship Thrust Distribution Based on Adaptive Particle Swarm Bee Colony Hybrid Algorithm
Authors: Hou Meng , Yu Menghong , Jiao Lun 
Published: April 2023

Abstract
Aiming at the thrust distribution problem of nonlinear constraint in ship dynamic positioning system, an adaptive hybrid particle swarm optimization and bee colony algorithm was proposed, which was based on particle swarm optimization and bee colony algorithm, and introduced by the adaptive idea and bidirectional stochastic optimization mechanism. The optimization objective function with the minimum energy consumption and the minimum error of the thruster system was established by fully considering the thrust feasible region, the change rate of thrust and rudder angle and other constraints. Simulation results show that this algorithm can solve the thrust distribution problem reasonably and efficiently.
A method for estimating the harmonic impedance in real time based on Kalman filter algorithm
Authors: Luo Zhongyou , Hou Bing , Zhao Puzhi 
Published: April 2023

Abstract
Invasive and noninvasive are two common harmonic impedance estimation methods. Intrusive methods may affect the stable operation of the system. A harmonic impedance estimation method based on Kalman filter algorithm is proposed in this paper. The method adjusts the time interval of impedance estimation by selecting the frequency of sample. When the frequency of sample is high enough, it can be considered as real-time estimation of harmonic impedance.
A Novel Sliding Mode Controller Applied to SPMSM of Material Conveying System
Authors: Liu Shujuan , Jin Hui , Di Yanbiao 
Published: April 2023

Abstract
As an important power component of the material conveying system, the motor will inevitably cause the vibration of the mechanical structure when rotating, thus affecting the stable operation of the motor. Most material conveying systems have high requirements for motor vibration level, and usually take vibration performance and electrical performance as the evaluation criteria of the same level. A nonlinear terminal sliding mode controller is proposed to solve the phase delay and vibration problems in the sliding mode control system of surface-mounted permanent magnet synchronous motor (SPMSM) in material transmission system.. The sliding surface is an organic combination of nonlinear sliding mode and fast terminal mode, and its relative stability is verified by Lyapunov function. Through MATLAB simulation and fine comparison analysis with other advanced sliding mode control system methods, it can be seen from the simulation results that the signal of the proposed method can obviously control the noise, and the global root-mean-square error is only 1.9%, so it can be seen that the scheme is feasible..
Research on Inverter Side Control of Power Grid Simulator Based on Active Disturbance Rejection and Repetitive Control
Authors: Chen Jiawei , Xie Yuan , Jiang Jiacheng 
Published: April 2023

Abstract
To track the input voltage waveform quickly and accurately, and sort out waveforms on the power grid simulator, a control strategy is proposed. The first loop use repeated control (RC) and PI Control composite control, and the voltage inner loop is controlled by a first-order linear self-disturbance rejection controller (ADRC). A suitable inverter topology is also designed. To improve the performance of the proposed controller, the bandwidth method is selected to adjust the observer bandwidth. In view of the frequency adaptability of inverters on the inverter side, the output voltage imbalance is suppressed by improving the repetitive control and the tracking accuracy is improved. The simulation results indicate the controller has the ability to track the waveform quickly and accurately. In addition, the waveform jitter is effectively suppressed.
Two-stage control algorithm for magnetic fluid deformation mirror with dual-layer actuators
Authors: Guo Shuo , Fu Dongjie , Ding Haichun , Liu Tianqi , Zhou Kunhua , Iqbal Azhar , Wu Zhizheng 
Published: April 2023

Abstract
To increase the correction effectiveness of full-order aberration, a control system based on a magnetic fluid flexible mirror with dual-layer actuators is presented. The combined magnetic field created by the Maxwell coil and the double-layer driving coils controls the geometry of the magnetic fluid surface. A model-based optical sensorless control approach for lower layer coils is developed and aimed to enable high magnitude restoration of lower-order aberrations. An adaptive important factor that causes on Youla parameterization, on the other hand, is developed for the upper coils to rectify higher-order residual aberrations. Matlab is used to simulate the algorithm in order to test its performance in full-order aberration correction, and the results reveal that the approach has good correction performance.
Research on the Influence of UAV Anti-collision Device on Aerodynamic Shape
Authors: Li Guicong , Zuo Hongfu , Xu Juan 
Published: April 2023

Abstract
With the widespread use of UAVs, accidents with UAVs are inevitable. It is necessary to design an anti-collision UAV suitable for aircraft inspection. CFD simulation software is used to study the effect of adding anti-collision device on the hovering, flow field characteristics and aerodynamic shape of the UAV. The model parameters are set according to the actual situation, and the flow field characteristics of a single propeller, UAV and anti-collision UAV are simulated and analyzed in the hovering state. The analysis of the flow field determines the aerodynamic interference of the UAV anti-collision device, which provides a basis for verifying the feasibility of the design scheme.
A Low-Complexity Non-Contact Vital Sign Detection System and Heartbeat Extraction Algorithm
Authors: Yang Xiaodong , Yao Shuaiwei , Xu Xueteng , Zheng Aomei , Guo Jiachang , Wang Chao 
Published: April 2023

Abstract
A low-complexity vital sign detection system is proposed. The system uses a phase discriminator as the demodulation module and a phase shifter to solve the null problem in CW radar. This design significantly reduces the complexity. In the subsequent processing of this system, variational pattern decomposition (VMD) is used to analyze vital sign signals. Experiments using this system show that VMD is efficient and accurate in extracting human target respiration and heartbeat frequencies.
Automatic Retracting and Paying-off System of Tethered Unmanned Aerial Vehicle
Authors: Cheng Siyuan , Xu Gen , Xiao Jiangjian , Bu Ningbo 
Published: April 2023

Abstract
With the progress of unmanned aerial vehicle (UAV) technology, people have higher and higher requirements for the working endurance of rotary-wing UAVs. The tethered UAV can be wired to power through the tethered cable, which solves the problem of UAV endurance. During the descent of the UAV, the operator needs to manually rotate the take-up device for take-up manually. When the operator fails to put the redundant tied cables into the retracting and paying-off device timely, the redundant tied cables are prone to be entangled and knotted, causing potential safety hazards. To overcome the shortcomings of the above existing technologies, this project develops an automatic retracting and paying-off device based on the tethered UAV. The tension of the tethered cable is measured in real time by adding a tension monitoring unit to the traditional take-up device. According to the tension of the tethered cable and the takeoff and landing speed of the tethered UAV, the real-time automatic take-up of the tethered cable is realized.
An Indoor Real-Time Visualization Exploration Unmanned Aerial Vehicle
Authors: Bu Ningbo , Xu Gen , Xiao Jiangjian , Ge Jianfei 
Published: April 2023

Abstract
Aiming at the scene of a rescue in an indoor environment, this paper proposes an indoor real-time visual exploration UAV. UAVs can model the unknown space in 3D space in real-time, obtain obstacle information and flight navigation information, avoid obstacles and fly to the region of interest in real-time. Real-time transmission of three-dimensional space information to the remote end to provide rescue personnel with timely arrangements for rescue plans. The 3D mapping uses a 32-line laser radar, combining high-density point clouds and IMU to obtain accurate and real-time navigation information. The point cloud is then made into a grid map for real-time planning so that the UAV can independently calculate the flight path to the designated area. Then it is transmitted to the remote interface in real-time through WIFI communication so that the rescuers can quickly get the location and route of the rescuers needed and complete the rapid rescue operation.
Noise suppression of FMCW lidar
Authors: Geng Ziwei , Yin Longfei , Qian Dasheng , Wu Guohua , Luo Bin 
Published: April 2023

Abstract
Aiming at the problem that the ranging accuracy of the frequency-modulated continuous wave (FMCW) lidar decreases in the strong noise environment, experiments are carried out to verify the feasibility of the Faraday anomalous dispersion filter (FADOF) in the FMCW lidar system. The transmitter of the system uses the potassium atom vapor cell to stabilize the frequency and uses the field programmable gate array (FPGA) as the servo system. K-FADOF is used to suppress the additive noise at the receiving end of the lidar system. The results of this experiment show that the use of FADOF can successfully eliminate the interference of noise at the receiver. This experiment verifies the effectiveness of FADOF in suppressing noise in the field of FMCW lidar.