bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation Research on Parameters Matching of Vehicle Engine Cooling System Based on AMEsim
Authors: Yuan Zhongrui , An Tong , Pan Yulong , Chen Haishan , Liu Yali , Zhan Caidong 
Published: December 2022

Abstract
The engine cooling system equipped on a 1.5T vehicle is regarded as the research object in this article, and the heat dissipation capacity under different working conditions of this vehicle is simulated based on AMEsim software. The simulation results show that the heat dissipation ability of this cooling system is insufficient under extreme high-temperature climbing conditions. Therefore, the component parameters of the cooling system need to be matched again, and the effectiveness of simulation tests is verified based on AMEsim software. The simulation research in this article has certain engineering application value. It can provide guidance for vehicle engineers of the Original Equipment Manufacturer (OEM) to match the parameters quickly in the early development process of the vehicle engine cooling system.
Energy efficiency analysis of coal-to-ethylene glycol distillation process based on exergy analysis
Authors: Zhao Xianbin , Jiang Shubo 
Published: December 2022

Abstract
The exergy analysis method is an important method for evaluating energy levels and energy efficiency. It is of great importance in the direction of process energy efficiency optimization. In this paper, the energy use of coal-to-ethylene glycol distillation process is comprehensively evaluated and analyzed using. Firstly, based on Aspen Plus process simulation, the basic data for exergy analysis were obtained; secondly, a detailed the results showed that the exergy efficiency of the deethylene glycol unit was the lowest, and the exergy loss of the reboiler was the highest. The exergy efficiency can be improved by appropriately changing the operating conditions such as feed position, reflux ratio and extraction ratio of the de-glycol unit.
PMSM Speed Sensorless System of Intercity Railway Track Inspection Trolley Based on FOSMO-MRAS Observer
Authors: Du Fang , Xu Feng , Wu Xiaoliang 
Published: December 2022

Abstract
For realizing the speed sensorless control system of the intercity railway track inspection trolley, reducing the manufacturing cost and volume weight of the track inspection trolley, and improving the performance of the three-phase permanent magnet synchronous motor (PMSM) control system inside the track inspection trolley, a new fractional sliding mode variable structure model reference adaptive (FOSMO-MRAS) method is proposed to construct the motor speed observer, and a new sliding mode approach law is constructed by using a hyperbolic tangent function instead of a traditional discontinuous switching function. The simulation results show that the speed sensorless control strategy of PMSM based on the FOSMO-MRAS observer has good dynamic and static performance. And the robustness and reliability of the system are improved.
Compensatory Fault-Tolerant Control Toward the Manipulator in a High-Throughput Preparation System
Authors: Liu Fuqiang , Zhao Bin , Ma Zuxing , Zhong Songyi 
Published: December 2022

Abstract
A Deviation-Division Fault-Tolerant Control (D-D FTC) scheme which can produce convergent compensating control inputs for the faulty yet partially controllable actuators in finite steps is proposed in this paper. Based on the D-D FTC scheme, the implementation of the robot manipulator in a high-throughput preparation system is derived. Moreover, the simulation is given to illustrate the effectiveness of the proposed scheme.
Detection Method Based on RFID Tag on the Metal Surface
Authors: Zhang Shuang , Gong Yuxin , Zhu Guokai 
Published: December 2022

Abstract
In radio frequency identification (RFID) technology, RFID tags’ work on the metal surface is greatly affected by the metal, and the read/write distance and read rate of the tag will be reduced along with the change of the distance between the tag and the metal surface. Aiming at this feature, this paper studies and designs two kinds of metal-resistant UHF RFID micro-strip tags with a center frequency of 915MHz according to the “resonant cavity principle” and HFSS simulation software. After optimization, the size of the tag antenna is reduced. Through the distance expression and experiment, we verify the maximum recognition distance between the reader, and the tag can reach 3.46m, which can solve the problem of conventional RFID tags by metal interference.
Load Regulation Method of Interaction Between Electric Vehicle and Power Grid Based on LSTM
Authors: Chen Wenfu , Zhang Jian , Li Siwei , Yuan Shuai , Cai Shaotang 
Published: December 2022

Abstract
In response to the problem of disorderly charging of scaled new energy vehicles, which causes an increase in the intermittency and randomness of the overall load and then leads to the instability of the distribution network, an edge-control-based load regulation method for scaled vehicle-network interaction is proposed. Firstly, the sequence of influencing factors is constructed, and the data is processed by using weighted Marxist distance to realize the accurate extraction of electric vehicle load power data. Secondly, feature extraction of the data by using Long Short-Term Memory (LSTM) to realize fast and accurate prediction of regional load. Then, an edge-side regulation model is constructed with the objective function of minimizing network loss and minimizing peak-to-valley difference and solved by the wolf pack algorithm. Then, the edge controller is used to control the tide of each pile-end management unit to realize the effective cooperative regulation of each station-pile-net. Finally, using the edge controller physical device with an example of the distribution network in a region of Tianjin, it is verified that the method has good prediction accuracy and ensures the reasonable deployment as well as stability of the distribution network.
A Control and Simulation Method for Space-based Opto-mechanical Structures Using Uniform Scanning
Authors: Chang Xia , Song Li , Wang Chun , Zhang Ai 
Published: December 2022

Abstract
To achieve high-precision imaging in the calibration area of a sub-satellite point, this paper proposes a method for assessing the scanning accuracy and how it affects the agility of the maneuvering process. In addition, simulations and experimental validation are also conducted using a position-velocity dual-loop control algorithm. The design is based on the control theory and the operating characteristics of the actual flexible scanning mechanism, the control law is designed using the control method based on the permanent magnet synchronous motor model, and the interference is simulated and analyzed. The results show that the design can combine the control performance indexes of practical applications and meet the requirements of in-orbit high-precision scanning, which can provide a reference for the subsequent development of space high-precision scanning control.
Optimal Scheduling of Integrated Energy Systems Considering Carbon Trading
Authors: Xu Tao , Cheng Cheng , Ren Fei , Zhang Weiwei 
Published: December 2022

Abstract
Under the background where the electricity market and the carbon market are booming, the operation and dispatch of the integrated energy system requires the introduction of a carbon trading mechanism that can help guide customers and system operators to optimize electricity consumption and dispatch plans. A mathematical model of the community-integrated energy system, including energy storage, gas turbine generation system, and flexible load, is constructed based on energy hubs. In the consideration of costs in operation and carbon trading of the system, a low carbon economic dispatch model is established for IES to achieve the optimization objective of minimizing the total cost. The simulation results show that the coupled electric and thermal dispatch and the participation and interaction of flexible electric and thermal loads can lower the load peak-to-valley difference and significantly reduce the system operation cost, and the flexible load participation and dispatch under the carbon trading system can effectively bring the system more environmental and economic benefits.
Research and application of forward three-dimensional design method of substation
Authors: Xu Wenzhe , Shi Jiabing , Sun Zhengzhu , Lv Shudong , Fang Junqi , Li Wenting , Lv Lei , Ni Yuxiang 
Published: December 2022

Abstract
During the operation of digital substations, they are vulnerable to the influence of different fault feature extraction, resulting in weak anti-interference in the detection process. To solve this problem, the singular value decomposition method is combined detection method to establish a prediction model. Firstly, the three-dimensional control mode model is established based on mathematical method to process the current signal with anti-interference; Secondly, the singular value method is used to optimize the current transmission process and denoise the fault signal feature extraction; Finally, the method of singular value decomposition is used to realize fault detection in substation operation.
Bearing fault diagnosis method based on refined composite multiscale fuzzy entropy
Authors: Li Yingli , Zhang Hongjie , Tong Yuanliang , Liu Wencai , Liu Jintao , Liu Wenbin 
Published: December 2022

Abstract
In this paper, a new fuzzy C-mean (FCM) clustering method based on refined composite multiscale fuzzy entropy (RCMFE) is proposed and applied to the bearing fault diagnosis of rotating machinery. The RCMFE adds multiscale processing, which can not only characterize the complex changes of time sequences at several different scales but also solve the problems of information loss caused by the process of coarse granulation and large fluctuation of entropy value when the scale becomes large. This method uses RCMFE to extract fault features, that are inputted into the Fuzzy C-mean clustering algorithm to achieve rolling bearing fault identification. Comparing the method with Multiscale Fuzzy Entropy (MFE) and Composite Multiscale Fuzzy Entropy (CMFE), the method used was experimentally proven to have better diagnostic results.
Steel Surface Defect Detection Based on Improved YOLOV5 Algorithm
Authors: Lu Yang , Qu Fuheng 
Published: December 2022

Abstract
When the traditional target detection method based on deep learning identifies steel surface defects, the recognition accuracy is low due to the imbalance of classification and regression tasks and the loss of feature information. To solve this problem, an improved YOLOV5 algorithm is proposed for steel surface defect detection. Firstly, the multi-branch prediction of regression and classification is decoupled, and three different outputs of regression, classification, and confidence are obtained through two different convolutions at the output end. Then, the features of different levels of the backbone network are adaptively weighted and fused, and the weighted coefficients of features of different depths are calculated by the softmax function, and then weighted and fused. Compared with the YOLOV5 algorithm, the experimental results show that the detection accuracy of the proposed algorithm is improved by 2.0%.
Study on Servo Control Method of Eye Movement Intention Based on Reinforcement Learning
Authors: Sun Xiangyang , Yu Jingsi , Wang Yi , Zhang Ning 
Published: December 2022

Abstract
Eye movement servo control has the advantage of non-contact and the eye movement is not affected by other limbs. By applying eye-tracking technology to rehabilitation research of people with movement disorders, the interaction between eye-tracking technology and computers will be gradually put into practice, which is equivalent to giving patients a pair of “invisible hands” that can give instructions freely. In this paper, a servo control method based on eye-movement coding technology is proposed to solve the problems of low accuracy, poor reliability, and insufficient human intention initiative in the field of eye-movement servo control of human-computer visual interaction. The human eye movement instruction is processed by coding and integrated with human eye movement intention to realize intelligent servo control of human eye intention. In order to improve the accuracy of eye movement servo control, this paper proposes an eye movement instruction coding processing method, which uses the trained AdaBoost fusion strong classifier algorithm and the landmark detector to detect the real-time algorithm in the video sequence to complete the eye location and blink determination. In this paper, an improved pupil location method based on multi-angle joint detection is proposed. The pupil location is completed by using the information of eye image points, and the digital coding model of eye command action is constructed, which provides an instruction base for eye movement servo control. In order to improve the reliability and initiative of eye-movement servo control, a reinforcement learning method combining eye-movement coded instruction and intention was proposed. By integrating the improved DDPG continuous control strategy reinforcement learning algorithm with eye movement intention instruction, the environmental status can be sensed in the human-computer interaction process and the optimal strategy of eye movement instruction selection can be learned.
Application of Fuzzy PID in Wheeled Robot
Authors: Luo Haocai , Zhang Changming 
Published: December 2022

Abstract
At this stage, wheeled robots are widely used in various fields. Usually, the gimbal is mounted above the wheeled robot as a platform for carrying other functional modules, and for the normal working environment of the module. We will use the traditional PID control algorithm to keep the gimbal relatively stable. However, in the face of complex terrain, the gimbal will be subject to huge disturbances from the chassis. The traditional PID algorithm has low robustness and cannot cope with this situation. In this paper, a fuzzy controller for the self-stabilization of the gimbal is added to the wheeled robot designed in the RoboMaster competition to maintain the stability of the gimbal under the condition of an uneven road to ensure that the gimbal has strong robustness. This robot uses STM32F427IH, the main control chip, and JetsonNanoA02, the host computer, with the FreeRTOS real-time operating system to complete the motion control of the robot.
Research on Compact Nanosecond High-voltage Pulse Source
Authors: Ding Jiandong , Cao Bing 
Published: December 2022

Abstract
With the application of pulse power technology in the fields of biomedical research, portable pulse source, and electromagnetic pulse radiation, the research of pulse sources puts forward new requirements such as compact structure, long pulse width, and high voltage resistance. The traditional pulse source has a long pulse period and short pulse width, which cannot meet the requirements of the high repetition frequency and high output power. In this paper, a nanosecond high-voltage pulse source is designed, which consists of a primary power supply, a pulse charging system, and a pulse shaping system. The DC power charges the Marx generator, while the Marx generator output is shaped by short-circuit sharpening switches. In this paper, PSpice simulation software is used to simulate the results: the pulse period is 1.4ns and the peak-to-peak voltage is 210kV.
Distributed Optical Fiber Strain Sensors Packaged with Polyurethane and GFRP
Authors: Xie Fumin , Mai Jiancong , Zhu Pingyu , Cheng Jianming 
Published: December 2022

Abstract
To apply optical fiber sensors in an extreme environment and fulfill the rapid curing requirement of the thermosetting packaging process on glass fiber reinforced polymers (GFRP) prepreg, a novel fabricating method is proposed in this paper. It packages optical fiber by pouring and brushing the waterborne polyurethane into dry weave GFRP clothes that have bare optical fibers on one side. A special mold with a slot for laying and fixing package materials is designed. The sample with the size of 20 mm × 80 mm × 1 mm is made by adopting the developed mold. The GFRP side of the sample was pasted on the carbon fiber beam with a constant section, and a static loading test was conducted. The strain of the cantilever beam was collected by the packaged distributed optical fiber sensor and demodulated by the OFDR system. According to the Ko theory, the measured strain was converted into the displacement of the cantilever beam. The displacement of the free end of the cantilever beam was compared with the position measured by the machine vision, and the error between the two was small. The experimental results show that the ultra-thin distributed optical fiber strain sensor obtained by rapid packaging can be used for the deformation monitoring of large structures such as wind turbine blades.
Fuzzy Direct Torque Control of Surface Permanent Magnet Synchronous Motor
Authors: Qin Yugui , Wang Kaiyuan , Luo Huiran 
Published: December 2022

Abstract
To solve the problems of large torque and flux ripple in direct torque control (DTC) of permanent magnet synchronous motors (PMSM), a fuzzy controller is used to replace hysteresis comparators and switching tables in the DTC. Different from the conventional fuzzy controller which only outputs the angle or amplitude of the voltage vector, the controller adjusts the angle and value of the voltage vector at the same time in the surface PMSM DTC system is proposed. The inputs and output of the fuzzy controller are: stator flux, torque error, angle and amplitude of voltage vector in stator flux coordinate system. The simulation results of proposed fuzzy control system work normally. Compared with conventional fuzzy control systems, stator flux and torque ripples are decreased and only when motor speed is negative, torque ripple is a little higher. To suppress torque ripple at negative speed, two membership functions of torque error are designed and the fuzzy control system can select the proper membership function according to motor speed. Simulation results show adaptive fuzzy control system can effectively reduce torque and flux ripple in four quadrants.
Integrated Analysis System for Dynamic Sealing Performance of Civil Aircraft Boarding Door
Authors: Zhang Shenghai 
Published: December 2022

Abstract
This paper introduces an integrated analysis system for the dynamic sealing performance of civil aircraft boarding doors. The analysis system mainly carries out virtual verification for the sealing performance of civil aircraft doors in various service environments, including the simulation module of fluid pressure temperature on the surface of aircraft doors. There are three subsystems: hatch fluid-structure coupling interpolation module and hatch dynamic sealing performance finite element simulation module. The system is used to simulate the sealing performance of civil aircraft boarding doors in complex dynamic environments such as under high and low temperatures and high and low pressures. The system can improve the evaluation mechanism of aircraft hatch dynamic sealing performance, and help to build a virtual simulation analysis and test verification system of hatch performance under the interaction of multiple environmental factors, so as to help overcome the bottleneck in the development of civil aircraft in China.
Effect Analysis of Step Input Smoothing Optimization on Hydraulic Excitation Suppression of Position Servo System
Authors: Mao Xuyao , Xiang Chao , Wu Di , Wu Yong , Lai Qiwei 
Published: December 2022

Abstract
Based on step input ramping optimization, a further optimization method is proposed by superimposing a sine signal to smooth the mutation of the step signal. This sine smoothing method has zero signal change rate and acceleration at the beginning and the end of the signal mutation. That is, the optimization has good smoothing characteristics. With the position servo system as the research object, the simulation model is established and the effect analysis of parameters such as rising time, friction, and external load is carried out. It can be concluded based on the analysis that the ramp and the sine smoothing optimizations are very effective in reducing hydraulic excitation, especially in suppressing the pressure pulsation of the system; meanwhile, it would cause a system response millisecond delay. Different optimization methods should be selected according to the specific application scenarios.
An Investigation on the Ground Impact of Electric Vehicle
Authors: Zhao Zhiwei , Liang Wangde , Yang Xiaohang , Cheng Hao , Ma Ying , Ju Hao , Zhang Yaming 
Published: December 2022

Abstract
Ground impact caused by road debris can result in very severe fire accidents of Electric Vehicles (EVs). To improve the mechanical safety of EVs, the test and verification conditions of Bottom scraping and Bottom supporting for ground impact safety of EVs are formulated through market safety accident investigation. Moreover, the assessment method and verification equipment are developed to satisfy the consumer’s demands. The investigations of ground impact show that whether the battery pack is at the lowest point has a great impact on the safety under the Bottom scraping condition, while the material of the Bottom guard plate has a great impact on the safety under the Bottom supporting test condition. Finally, 11 EVs are tested to evaluate the safety performance against ground impact by the scoring rule of multiple indicators. The results provide important guidance for the safety design of the ground impact of EVs.
Study on plant generator scheduling based on mixed integer model
Authors: Yang Jiaqi 
Published: December 2022

Abstract
Due to the outbreak of the new crown epidemic, the production plans of most factories have been affected to a certain extent, and there may be some changes in the production machinery and manpower arrangements of the factories. In this paper, we study how to arrange the dispatch strategy of generators under the condition of power demand in a specified time. Based on the minimum cost, a mixed integer model was established, which provided a solution for some factories to control the scheduling of machines on time during the outbreak of the epidemic. According to the established model, a factory is programmed to solve the problem, and the minimum power generation cost in a week is given 1589130 CNY. In special cases, the working generator set must set aside 20% of the power generation capacity margin to cope with the unexpected situation. At this time, the generator’s daily production cost is as small as 239870 CNY while giving the corresponding generator scheduling scheme. Finally, this paper does a sensitivity analysis of the total daily power generation cost when the power generation margin changes, and finds that the total daily cost of the generator is sensitive to the power generation margin.
Study on bi-layer optimal operation of new energy microgrid with P2G
Authors: Yuan Meng , Zhang Peng , Yuan Meng 
Published: December 2022

Abstract
To improve the utilization of new energy sources and reduce economic costs, a micro-grid dispatching model based on new energy prediction with P2G is proposed. This paper consists of two stages. The first stage is to optimize the model of support vector machine using particle swarm algorithm to predict the data of wind power and photovoltaic power generation based on several influence factors. The second stage is to use the data of wind power and PV output in the first stage and put them into the micro-grid model of this paper for optimal dispatching. This stage is solved by using CPLEX+YALMIP and divided into three scenarios for comparative analysis. The conclusion is that the micro-grid containing P2G has effectively improves the economy and the capacity of consuming renewable energy. The bi-layer optimization of this paper, with the first stage improving accuracy and the second stage optimizing dispatch, not only greatly promotes the smooth and reliable operation of micro-grids, but also reflects the systematic nature of micro-grid modelling.