bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Position Sensorless Vector Control of Synchronous Reluctance Motor Based on High Frequency Injection Method
Authors: Li Dengke , Liu Yukun 
Published: January 2022

Abstract
In order to achieve the high-performance control position sensorless vector control of synchronous reluctance motor (SynRM), this paper investigated its running-up performance and capability at zero or low speed range. The contribution of this paper mainly includes two parts. Firstly, it takes cross-saturation effect into consideration, Secondly, the paper improves the control stiffness and reliability under low-speed sensorless operation condition by adopting the pulsating sinusoidal high frequency voltage injection snesorless method. By injecting high-frequency voltage excitation signal, the rotor position is estimated from the high-frequency response current. The simulation results verified the feasibility of the control algorithm, and fulfilled the running-up of the SynRM at zero speed, the capability of stability is evaluated via simulation results.
Digital Twin-Based Reconfiguration Time Point Prediction Method for Reconfigurable Manufacturing Systems
Authors: Liu Zhihao , Wang Taiyong , Zhou Yiren , Zhao Wei , Zheng Mingliang , Ke Zhisheng , Zhao Xiaomeng 
Published: January 2022

Abstract
In the operation cycle of reconfigurable manufacturing system, the system needs to be continuously reconstructed to adapt to the changes of market demand. Aiming at the problem of when to reconstruct the reconfigurable manufacturing system, combined with digital twinning, a prediction method of reconfiguration time point of reconfigurable manufacturing system is proposed. Firstly, the factors affecting the processing capability and function of reconfigurable manufacturing system are analyzed quantitatively, the optimization objective is to minimize the part completion time and reconfiguration cost, and the multi-objective cuckoo algorithm is used to solve it; Then, the digital twin model of reconfigurable machine tool and reconfigurable production line is constructed, so that the state of reconfigurable manufacturing system can be truly mapped in virtual space, and the simulation and prediction framework of reconfigurable manufacturing system is constructed; Secondly, the initial scheme configuration is generated according to the production demand, the set threshold is optimized and simulated, and the simulation sample data is analyzed to obtain the appropriate reconstruction time; Finally, an engineering example is given to verify the feasibility and effectiveness of the method.
An Improved Dark Channel Prior Method for Dusty Image Restoration
Authors: Zhang Ya , Yang Weimin 
Published: January 2022

Abstract
For the images which were obtained in a dusty environment, because of the tiny particles suspended in the atmosphere absorb and scatter the light, there is serious haze in the images. The haze can directly cause colour changes and the loss of image details. As a result, a lot of efficient features in the dusty image were concealed or weakened by the haze, which created difficulties to obtain a natural and clear restored image, and has brought serious impact for aerospace, automatic driving and traffic monitoring in the dusty environment. An improved restoration method based on dark channel prior theory and gradient domain guided filtering was proposed to remove the haze and restore the dusty image. According to the characteristics of the dusty images, a specific guided image was adopted to make gradient domain guided filtering for the dark channel image firstly, so that the transmittance image can be better refined than that in the dark channel prior method, and then the image can be restored according to the image degradation model. Experiments show that the visual effect of the restored image is natural and clear, and can retain most effective features, which lays a foundation for computer vision-based target monitoring and recognition in the dusty environment.
Research on University Computer Teaching Based on Data Mining Learning Model
Authors: Xu Guibing 
Published: January 2022

Abstract
Under the background of the development of big data, the research of learning analysis technology has shifted from theoretical fields to practical application fields such as teaching big data analysis and learning behavior prediction. However, it is worth noting that the wide application of big data technology has led to a large increase in text data, and how to quickly obtain accurate information has become a decisive factor in improving students’ learning ability. Therefore, this article combines the current status of computer teaching in colleges and universities to construct a data mining learning model to evaluate the effects of current college computer teaching methods. On this basis, it helps computer teachers to choose the most reasonable teaching style and teaching methods, and guide students to better master computer skills in order to achieve the best computer teaching effect.
Hybrid MMC Redundancy Configuration Calculation Method Based on Heuristic Algorithm
Authors: Lu Xiaojian , Zeng Zi’an , Lv Xichao , Luo Xusong , Zhang Gongliao , Fan Youping 
Published: January 2022

Abstract
Most of the existing redundant configuration methods of modular level converters (MMC) only consider the reliability of the MMC, and rarely consider the utilization of insulated gate bipolar transistors (IGBT). A heuristic algorithm-based calculation method for hybrid MMC redundancy configuration is proposed in order to better meet the engineering practicality. Firstly, the topology of the hybrid MMC is introduced, and the correlation between submodules is introduced into the calculation of its reliability. Secondly, the index of IGBT utilization is proposed to judge the economic advantage. The effects of correlation and service life on the reliability of the hybrid MMC and the IGBT utilization are analyzed. Then, heuristic factors are constructed with reliability and IGBT utilization, and the optimal redundancy configuration scheme of hybrid MMC is obtained by heuristic algorithm. Finally, based on the parameters of Kunliulong multi-terminal hybrid DC transmission project, the calculation is verified in Matlab and compared with the results of the difference method to illustrate the feasibility and superiority of the proposed redundancy configuration calculation method.
The CEEMD-LSTM-ARIMA Model and Its Application in Time Series Prediction
Authors: Sun Chen , Nong Yingxiong , Chen Zhibin , Liang Dong , Lu Ying , Qin Yishuang 
Published: January 2022

Abstract
Research shows that there are some data sets with strong timing in reality. After certain processing, they can predict the changes of transactions in the future to some extent and play a positive role in guiding production. However, they often have the characteristics of overall trend variability and seasonal fluctuation, and are also affected by many random factors. Therefore, the data show strong non stationarity. In this paper, a CEEMD-LSTM-ARIMA combined model is proposed. This method reconstructs variables by decomposing time series data, and adopts appropriate methods to deal with variables with different characteristics. In this paper, CEEMD-LSTM-ARIMA combined model is used to predict cigarette data. The experimental results show that the proposed combined model has faster convergence speed and higher accuracy than LSTM and ARIMA, and has more advantages in time series data prediction.
Phase-Variable Modeling and Comparative Study between a PMa-CPA and a CPA Alternator by Simulation Analysis
Authors: Tsai Ming-Fa , Tseng Chung-Shi , Bai Shu-Yui 
Published: January 2022

Abstract
This paper presents the phase-variable modeling of a permanent magnet-assisted claw-pole alternator in PSIM simulation software tool with the performance compared with a claw-pole alternator model, which is a special case of the permanent magnet-assisted claw-pole alternator model with the rotor permanent-magnet flux constant setting equal to zero. The constructed model can be simulated as a real alternator directly connected to a diode-bridge rectifier or switch-mode rectifier circuit for the integrated power application system simulation analysis. The proposed model contains two features, one of which is that the stator and rotor windings are circuit-based. The other one feature is that the mechanical torque input is based on a mathematical function. In this model, the rotor position-dependent variable inductor is replaced by a separate voltage source according to the voltage source absorption theorem. The simulation shows that the proposed model has faster torque step response and higher power efficiency than the claw-pole alternator model. The proposed model can be employed to the application of the control design and simulation study of voltage regulation in automobiles. The simulation results with 15-V command and the load sudden change verify the correction of the proposed model.
The Optimization Simulation Analysis of Heavy NC Machine Tool Bed
Authors: Luo Bing , Zhao Xin 
Published: January 2022

Abstract
In order to reduce the high manufacturing cost of heavy numerical control (NC) machine tool bed, the paper first introduced the stiffness and strength calculation method of constant cross-section and constant span beam, and deduced the theoretical optimization model with the minimum cross-section area of the bed as the optimization objective. Using the interior point method completed the optimization analysis of the machine bed. Then, the ISIGHT software was used to realize the integration of design software and analysis software, and the optimization simulation analysis of the machine bed was completed under the same interface. Finally, the calculation accuracy of the theoretical model is verified by comparing the optimization results of the theoretical model and the simulation model. The weight can be reduced by more than 10% on the basis of ensuring the stiffness and strength of the machine bed. The method lays a theoretical foundation for the manufacture of the machine bed.
Analytical Modeling for Magnetic Field Calculation of SPMSM Based on Equivalent Magnetic Network Method
Authors: Wang Jin , Zhang Jialin , Yu Zhanyang , Du Jianmin , Li Yan 
Published: January 2022

Abstract
In order to quickly calculate electromagnetic parameters and reduce total harmonics distortions (THD) of air-gap flux density for surface-mounted permanent magnet synchronous motor (SPMSM), the equivalent magnetic network method (EMNM) is used. Compared with traditional magnetic circuit method, the calculation result is more accurate and the calculation speed is faster than finite element method FEM). The EMNM considering the stator groove shape and core saturation is established by piecewide fitting of annular equivalence and magnetic ring curve formulas of the groove fan. The accuracy of EMNM is verified by FEM.
Round Traffic Sign Detection Algorithm
Authors: Huang Yinrong , Wang Bing , Yuan Xiemin 
Published: January 2022

Abstract
Traffic signs are an important part of autonomous driving and intelligent transportation. It provides instructions for pedestrians and vehicles and is critical to road traffic safety. However, existing detection algorithms cannot achieve real-time high-precision detection. Therefore, this paper proposes an algorithm that combines traditional methods with deep learning to detect circular traffic signs. Based on the HSV color space, the red and blue channel images are separated, and the candidate regions of the original image are extracted using the Hough transform. The shallow convolutional neural network (CNN) classifier rejects not traffic signs and classifies traffic signs. Experiments show that the algorithm is real and effective. On the CPU platform, the average accuracy rate is 96.2%, and the detection speed reaches 0.3 s / frame. Under the condition of ensuring the average accuracy rate, the detection speed is greatly reduced. The algorithm achieves the fastest speed, which makes real-time high-precision detection possible. The algorithm is more suitable for vehicle embedded systems.
A Region Preference-based Optimization Algorithm for Satellite Mission Planning Problem
Authors: Xiong Minghui , Xiong Wei 
Published: January 2022

Abstract
For the earth observation satellite mission planning problem, objectives such as observed target quantity, observation profit, energy consumption, image quality should be considered simultaneously, which is a many-objective optimization problem. Classical optimization-based mission planning algorithms obtain a set of non-dominated solutions in the entire search space, while only a single satisfy final plan is desired by decision maker. In this paper, a five-objective optimization model for satellite mission planning problem is constructed, then a region preference-based evolutionary algorithm, HMOEA-T, is applied to obtain the desired solutions. The decision makers describe the preference on each objective in target region form, then the algorithm guides a more detailed search within the preference region rather than the entire Pareto front. Comparative studies with preference-based methods (T-NSGA-III) and classical methods (NSGA-III) are conducted. We have exemplified the proposed method manage to obtain the solutions satisfying the mission planning preference and achieve better performance in convergence and diversity.
Research on the Selection of Path Planning Algorithm: A Case Study in Leeds
Authors: Yan Pang 
Published: January 2022

Abstract
Path planning algorithms are the core of path planning technology, and different path planning algorithms have different performances in terms of search efficiency and planning efficiency in different application areas. The traditional path planning algorithm selection mainly relies on personal knowledge and experience and takes a qualitative analysis method. With the variety of path planning algorithms and the increase of environmental complexity, the limitations of this empirical method are more and more obvious, and it is difficult to meet the actual needs of path planning and achieve the ideal path planning effect. The selection of path planning algorithms is an evaluation problem involving multiple factors and requires comprehensive algorithm selection and analysis. This paper addresses the problems of the selection method of the path planning algorithm, applies uncertainty theory and multi-attribute decision theory, constructs an evaluation system for path planning algorithm selection, proposes a multi-criteria EV-VIKOR decision model and decision method for path planning algorithm selection, and combines the results show the effectiveness of the decision-making method proposed in this paper.
Research on Rope Stripping Device of Elevator Speed Governor
Authors: Feng Shuangchang , Chen Jie , Liang Yanchun , Fang Kun 
Published: January 2022

Abstract
The elevator speed governor needs to be inspected regularly. According to the requirements, the maintenance unit of the inspected elevator shall verify the action speed of the speed governor every two years (within the service life of 15 years) or every year (over the service life of 15 years). When checking the speed governor, it is necessary to separate the steel wire rope from the speed limiting wheel, drive the speed limiting wheel to rotate through an external device, and then observe whether it is effective. In the existing means, when it is necessary to separate the steel wire rope from the speed governor, two forceps are usually used to clamp the steel wire rope respectively, and the two forceps are respectively placed on the surface of the elevator machine room. When the steel wire rope between the two forceps is long, the steel wire rope is separated from the speed governor wheel. However, this rope removal method is cumbersome and easy to pinch hands, and the pliers will also deform the steel wire rope in the clamping part. In order to solve the above problems, this paper studies a rope stripping device of elevator governor, which is convenient, fast, safe and reliable.
Design of cable laying condition monitoring system
Authors: Shen Shengwei 
Published: January 2022

Abstract
This paper designs a cable laying condition monitoring system. The system uses endoscope to monitor the defects in the pipeline, and uses tension sensor to monitor the traction in the process of cable laying. Through the test and test data analysis, the tension measurement range of the system is 0-10T and the measurement accuracy is 0.01T. The video system can clearly observe the defects in the cable duct. Therefore, the monitoring system designed in this paper can monitor the cable laying state and avoid the damage to the cable caused by pipeline defects and excessive tension.
A modified PSO Algorithm based on Cloud Theory for optimizing the Fuzzy PID controller
Authors: LI Xiang , Chen Jianjun 
Published: January 2022

Abstract
To obtain a more efficient intelligent controller, this paper presents a modified cloud theory-based particle swarm optimization (CTPSO) algorithm to improve fuzzy PID controller. Cloud evolution and mutation methods based on cloud theory are introduced to tune inertia weight of particle swarm optimization algorithm (PSO), which can improve the optimization accuracy and speed of PSO. The comparative experiments indicate that CTPSO performs better than PSO and other optimization algorithm recently proposed by other researchers. The CTPSO is used to set the initial PID control parameters and optimize control rules of fuzzy PID controller. According to an engineering case of the 180°C-die heater’s temperature control, the novel optimized fuzzy PID controller can suppress the oscillation and overshoot significantly. It also owns smaller adjustment time, static error and better comprehensive performance compared with the initial controller.
Simulation and analysis of temperature characteristics of a dual-coil magnetorheological brake
Authors: Huang Yuming , Wu Jie 
Published: January 2022

Abstract
In this paper, the temperature characteristics of a dual-coil magnetorheological (MR) brake have been studied by theoretical analysis and finite element simulation. Firstly, the mathematical model of the temperature field of the MR brake is established based on the analysis of the heat source. Then, the temperature field simulation analysis under steady-state and transient operation has been conducted. From the simulation, the maximum slip power of MR brake under steady-state conditions is obtained. Under slip operation, the temperature in MR fluid working gaps of the dual-coil MR brake rises rapidly. The research results can provide a reference for the research of heat dissipation technology of MR brakes.
Reinforcement learning control method of torque stability of three-phase permanent magnet synchronous motor
Authors: Tian Mengqi , Wang Ke , Lv Hongyu , Shi Wubin 
Published: January 2022

Abstract
Regarding the control strategy of the permanent magnet synchronous motor, the field-oriented control based on the PI controller have the instability of the output torque. In order to stabilize the output torque of the permanent magnet synchronous motor, this paper adopts reinforcement learning to improve traditional PI controller. Finally, in the MATLAB/Simulink simulation environment, a new control method based on reinforcement learning is established. The simulation results show that the reinforcement learning control method used in this paper can improve the stability of the output torque.
Prediction of Vehicle Braking Deceleration Based on BP Neural Network
Authors: Zhang Shen , Li Da , Du Feng , Wang Tao , Liu Yunpeng 
Published: January 2022

Abstract
Abstract:This paper first introduces the BP neural network, upgrades and optimizes the neural network according to the actual demand, and then establishes the prediction model of vehicle braking deceleration according to the relevant parameters affecting vehicle deceleration. According to the vehicle relative distance, vehicle relative speed, front vehicle acceleration, collision time and lateral distance, the vehicle deceleration is predicted and analyzed. After data verification, the vehicle braking deceleration prediction model is more accurate for vehicle deceleration prediction, and the established prediction model is effective.
Research on system simulation based on fuzzy self-tuning
Authors: Xu Gang 
Published: January 2022

Abstract
This paper introduces the principle of fuzzy control. On this basis, a fuzzy self-tuning PID controller is designed to the requirements of SRD system. The fuzzy self-tuning PID controller is introduced into the switched reluctance motor speed regulation system, the switched reluctance motor speed regulation system based on fuzzy self-tuning PID is simulated and compared with the conventional PID switched reluctance motor speed regulation system. The comparison results show that the application of fuzzy self-tuning PID controller in the switched reluctance motor speed regulation system can make the speed regulation system obtain good dynamic Static performance.
Remaining Useful Life for Aircraft Engine Forecasting Based on Data-driven
Authors: Niu Wei , Huang Wei , Wang Hao , Cheng Juan , Wang Sen 
Published: January 2022

Abstract
As for the low forecasting precision problem about time series in avionics complex system, a time series combined forecasting model of complex systems was established based on GM (grey model is referred to as GM). However, using the traditional GM(1, 1) model to predict complex system failures might result in huge forecasting errors. To solve the drawbacks of the traditional GM(1, 1) model, this work developed the traditional GM(1, 1) model (abbreviated as DGM(1, 1)), which can predict non-geometric sequences more correctly. To reduce such mistakes, a PS-DGM (1, 1) forecast model was created by combining DGM(1, 1) with the particle-swarm optimization process. The DGM(1, 1) model was utilized to generate the forecasting sequence, and then the particle-swarm optimization approach was employed to further alter them, resulting in the degradation trend prediction of avionics complex system characteristic parameters. The experimental results show that the PS-DGM(1, 1) model’s validity was confirmed by tracking and forecasting avionics equipment experiment data in a real-world setting, and that the suggested model achieves higher precision than the old one.