Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679519
Yanjun Yan, Kai Chen, Bo Xu, Yifan Wang, Hong Yang, Houjun Wang
The temperature stability of the high-precision laser is conducive to the stability of the laser's electronic parameters, improves the output energy of the optical signal, and improves the measurement accuracy. In the past temperature control systems, many controllers have been proposed to ensure their accuracy performance, including positional control and classic PID control. But in the harsh application environment, the classic controller can not meet the requirements, so this paper proposes a new PID control method-parameter optimization fuzzy self-tuning PID (POFPID), based on the analysis of the instrument heating model, based on actual test data. System model fitting. Combining the fitting model and fuzzy theory improves the simulation for PID, and obtain the appropriate parameter range in advance. Therefore, the debugging time can be greatly saved in the actual debugging, and at the same time, due to the reasonable parameter range, the heating and cooling are prevented from being out of control, and the high-precision optical instrument can be well protected. The final result shows that the temperature control system designed in this paper can track and control the temperature of the instrument well. And because the function is first fitted and simulated, and then the actual debugging is carried out with the help of the obtained parameters, the debugging progress is greatly accelerated, and the loss of the high-precision instrument reaches a small level.
{"title":"A Design Method of Temperature Controller for High-Precision Laser","authors":"Yanjun Yan, Kai Chen, Bo Xu, Yifan Wang, Hong Yang, Houjun Wang","doi":"10.1109/ICEMI52946.2021.9679519","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679519","url":null,"abstract":"The temperature stability of the high-precision laser is conducive to the stability of the laser's electronic parameters, improves the output energy of the optical signal, and improves the measurement accuracy. In the past temperature control systems, many controllers have been proposed to ensure their accuracy performance, including positional control and classic PID control. But in the harsh application environment, the classic controller can not meet the requirements, so this paper proposes a new PID control method-parameter optimization fuzzy self-tuning PID (POFPID), based on the analysis of the instrument heating model, based on actual test data. System model fitting. Combining the fitting model and fuzzy theory improves the simulation for PID, and obtain the appropriate parameter range in advance. Therefore, the debugging time can be greatly saved in the actual debugging, and at the same time, due to the reasonable parameter range, the heating and cooling are prevented from being out of control, and the high-precision optical instrument can be well protected. The final result shows that the temperature control system designed in this paper can track and control the temperature of the instrument well. And because the function is first fitted and simulated, and then the actual debugging is carried out with the help of the obtained parameters, the debugging progress is greatly accelerated, and the loss of the high-precision instrument reaches a small level.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679636
Qi Chang, Lele Chen, Heng Zhao, Fangqin Xie
Aiming at the problem of inaccurate prediction of fatigue crack propagation due to uncertain factors, a method based on Dynamic Bayesian Network (DBN) is proposed in this paper. A crack propagation simulation model is established in the finite element analysis software ABAQUS. The Paris formula is combined with the finite element model(FEM) of the crack propagation to establish the state equation. And the crack propagation prediction model is constructed based on the uncertain parameters defined in the FEM. The strain sensors are adopted to monitor the crack propagation. The strain data and the crack length data are fitted into a function to construct a fatigue crack observation model, and the particle filter algorithm is used to revise the uncertain parameters and to predict the crack propagation. The experimental research shows that the model can be revised continuously through the DBN. The accuracy of prediction for the rest usage life(RUL) of the structure can be improved greatly. The credibility and validity of the method are also proved.
{"title":"Prediction of Crack Propagation Based on Dynamic Bayesian Network","authors":"Qi Chang, Lele Chen, Heng Zhao, Fangqin Xie","doi":"10.1109/ICEMI52946.2021.9679636","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679636","url":null,"abstract":"Aiming at the problem of inaccurate prediction of fatigue crack propagation due to uncertain factors, a method based on Dynamic Bayesian Network (DBN) is proposed in this paper. A crack propagation simulation model is established in the finite element analysis software ABAQUS. The Paris formula is combined with the finite element model(FEM) of the crack propagation to establish the state equation. And the crack propagation prediction model is constructed based on the uncertain parameters defined in the FEM. The strain sensors are adopted to monitor the crack propagation. The strain data and the crack length data are fitted into a function to construct a fatigue crack observation model, and the particle filter algorithm is used to revise the uncertain parameters and to predict the crack propagation. The experimental research shows that the model can be revised continuously through the DBN. The accuracy of prediction for the rest usage life(RUL) of the structure can be improved greatly. The credibility and validity of the method are also proved.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115265142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Text recognition is an important field of pattern recognition application. In this paper, a joint parameter recognition method based on convolutional neural network is proposed to solve the problems of small font, various cables, and traditional manual detection difficulty and low efficiency. Based on TensorFlow framework, this method builds a convolutional neural network model that can realize end-to-end recognition. First manually adjust the shade number serious cables, from different angles to adjust good cable collection into image preprocessing, and then use the contour detection and projection image segmentation algorithm on area of the wire number to find out and cut them into a single character, after normalization processing packaged into the sample set and test set in proportion to the convolutional neural network training, Finally, the obtained joint parameters are compared with the standard wiring information base, and the wrong or missed cables are screened out for manual adjustment. The convolutional neural network model is applied to power grid cable identification, and the results show that it can accurately locate and identify the routing parameters, effectively assist manual detection to identify the cable parameters, reduce the error rate of human eye detection, and greatly improve the efficiency of manual detection.
{"title":"Grid Row Parameter Identification Using Tensorflow Convolutional Neural Network","authors":"Yanming Huo, Linyu Li, Yuchuan Zhang, Qiushi Huang, Lucheng Zhang, Yu Wang, Zhaolei Wang","doi":"10.1109/ICEMI52946.2021.9679668","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679668","url":null,"abstract":"Text recognition is an important field of pattern recognition application. In this paper, a joint parameter recognition method based on convolutional neural network is proposed to solve the problems of small font, various cables, and traditional manual detection difficulty and low efficiency. Based on TensorFlow framework, this method builds a convolutional neural network model that can realize end-to-end recognition. First manually adjust the shade number serious cables, from different angles to adjust good cable collection into image preprocessing, and then use the contour detection and projection image segmentation algorithm on area of the wire number to find out and cut them into a single character, after normalization processing packaged into the sample set and test set in proportion to the convolutional neural network training, Finally, the obtained joint parameters are compared with the standard wiring information base, and the wrong or missed cables are screened out for manual adjustment. The convolutional neural network model is applied to power grid cable identification, and the results show that it can accurately locate and identify the routing parameters, effectively assist manual detection to identify the cable parameters, reduce the error rate of human eye detection, and greatly improve the efficiency of manual detection.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127813443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679558
Wei Li, Junning Cui, Limin Zou
Calibration of ultra-low frequency (ULF) vibration is of great significance and degree of difficulty, because the maximum amplitude of acceleration produced by electromagnetic standard vibration exciters is limited by stroke and decreases with vibration frequency by 12 dB/Oct. Therefore, the signal to noise ratio decreases correspondingly and harmonic distortion of ULF standard vibration becomes a challenging problem to be solved. A harmonic suppression method based on iterative learning is proposed in this paper. The system characteristics of ULF standard vibration exciters are studied, a PD-type iterative learning control method based on displacement feedback is introduced to eliminate disturbances by PD control and suppress repetitive disturbance moments by iterative learning, thus to effectively improve the signal-to-noise ratio and accuracy of ULF standard vibration waveforms. Simulation results show that this method can effectively reduce the tracking error of the system, and harmonic distortion of acceleration waveform is reduced from 1% to 0.03% after four times of iteration.
{"title":"Harmonic Suppression of Ultralow-frequency Standard Vibration based on Iterative Learning Control","authors":"Wei Li, Junning Cui, Limin Zou","doi":"10.1109/ICEMI52946.2021.9679558","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679558","url":null,"abstract":"Calibration of ultra-low frequency (ULF) vibration is of great significance and degree of difficulty, because the maximum amplitude of acceleration produced by electromagnetic standard vibration exciters is limited by stroke and decreases with vibration frequency by 12 dB/Oct. Therefore, the signal to noise ratio decreases correspondingly and harmonic distortion of ULF standard vibration becomes a challenging problem to be solved. A harmonic suppression method based on iterative learning is proposed in this paper. The system characteristics of ULF standard vibration exciters are studied, a PD-type iterative learning control method based on displacement feedback is introduced to eliminate disturbances by PD control and suppress repetitive disturbance moments by iterative learning, thus to effectively improve the signal-to-noise ratio and accuracy of ULF standard vibration waveforms. Simulation results show that this method can effectively reduce the tracking error of the system, and harmonic distortion of acceleration waveform is reduced from 1% to 0.03% after four times of iteration.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128142940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the spatial coincidence measurement accuracy of position and size for the synthetic target image in current infrared target simulator, a calibration and measuring method of coincidence degree for infrared compound-eye imaging is proposed. Firstly, the mask assembly is employed to block the untested compound-eye subsystem, and the central field-of-view of the target simulator is used as the measuring benchmark. Then, the sub-imaging system is sampled and detected. Finally, the coordinate centroids of the feature points in each sub-image are counted to calibrate the imaging dispersion by the maximum relative error of the centroid pixel. The measured result shows that the image coincidence degree of the measured infrared target simulator can reach up to 80.8%. The factors affecting the spatial coincidence degree of synthetic target image in an infrared target simulator are also analyzed. The analysis results indicate that the coincidence degree of synthetic target image is mainly related to the following two factors: the geometric error of lithography target and the focal position consistency of compound-eye lens array, which is mainly influenced by the errors of vector height and radius of curvature for the compound eye lens array and the lens surface distortion.
{"title":"Study on the Calibration Method and Measurement of Coincidence Degree in an Infrared Compound-Eye Imaging System","authors":"Zhen Yang, Jianjun Zhang, Jianying Li, Xinmin Guo, Jianlong Zhang, Yong Zhang","doi":"10.1109/ICEMI52946.2021.9679662","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679662","url":null,"abstract":"In order to improve the spatial coincidence measurement accuracy of position and size for the synthetic target image in current infrared target simulator, a calibration and measuring method of coincidence degree for infrared compound-eye imaging is proposed. Firstly, the mask assembly is employed to block the untested compound-eye subsystem, and the central field-of-view of the target simulator is used as the measuring benchmark. Then, the sub-imaging system is sampled and detected. Finally, the coordinate centroids of the feature points in each sub-image are counted to calibrate the imaging dispersion by the maximum relative error of the centroid pixel. The measured result shows that the image coincidence degree of the measured infrared target simulator can reach up to 80.8%. The factors affecting the spatial coincidence degree of synthetic target image in an infrared target simulator are also analyzed. The analysis results indicate that the coincidence degree of synthetic target image is mainly related to the following two factors: the geometric error of lithography target and the focal position consistency of compound-eye lens array, which is mainly influenced by the errors of vector height and radius of curvature for the compound eye lens array and the lens surface distortion.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679622
Jun Yang, Changliang Tang, Liyong Wang, Xiaobo Liu, Bokang Su
As an important part of the dual-flow transmission device, the confluence planetary row works under the complex working conditions of high load, high frequency and strong impact, and the problem of vibration and noise is particularly prominent. In this paper, a concentrated parameter model of the confluence planetary gear dynamics is established, and the time-varying meshing stiffness, bearing stiffness, damping, shaft bending stiffness and other factors are comprehensively considered to establish a dynamic model suitable for the confluence planetary gear system under speed shock conditions. The dynamic characteristics of the confluence planetary gear under the speed shock load were numerically calculated, and the speed shock conditions were analyzed. The results show that as the speed increases, the vibration amplitude of each component shows an increasing trend; in the state of rotating speed shock excitation, the order spectrum signal is mainly composed of meshing frequency and high-order frequency doubling components, and the amplitude of each component also increases with the increase of speed. The test results are in good agreement with the numerical analysis. The conclusions obtained provide important theoretical support and engineering value for the vibration reduction, noise reduction and performance optimization of the confluence planetary gear system.
{"title":"Research on Dynamic Characteristics of Confluence Planetary Row under Speed Impact","authors":"Jun Yang, Changliang Tang, Liyong Wang, Xiaobo Liu, Bokang Su","doi":"10.1109/ICEMI52946.2021.9679622","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679622","url":null,"abstract":"As an important part of the dual-flow transmission device, the confluence planetary row works under the complex working conditions of high load, high frequency and strong impact, and the problem of vibration and noise is particularly prominent. In this paper, a concentrated parameter model of the confluence planetary gear dynamics is established, and the time-varying meshing stiffness, bearing stiffness, damping, shaft bending stiffness and other factors are comprehensively considered to establish a dynamic model suitable for the confluence planetary gear system under speed shock conditions. The dynamic characteristics of the confluence planetary gear under the speed shock load were numerically calculated, and the speed shock conditions were analyzed. The results show that as the speed increases, the vibration amplitude of each component shows an increasing trend; in the state of rotating speed shock excitation, the order spectrum signal is mainly composed of meshing frequency and high-order frequency doubling components, and the amplitude of each component also increases with the increase of speed. The test results are in good agreement with the numerical analysis. The conclusions obtained provide important theoretical support and engineering value for the vibration reduction, noise reduction and performance optimization of the confluence planetary gear system.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134195783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the reliability of high-power power supply operation, it is of great significance to study the online monitoring technology of its internal IGBT module. In many current researches, IGBT status monitoring is difficult to implement online, affected by junction temperature, and monitoring circuit design is difficult. In this paper, $V_{CE(sat)}$ is selected as the online monitoring characteristic parameter, and an online monitoring method for IGBT module aging failure status based on measuring $V_{CE(sat)}$ under the condition of intersection collector current is proposed. This method does not need to consider the influence of junction temperature on the monitoring results. Based on this, an online monitoring program for the aging failure state of the three-phase high-power inverter power supply IGBT is proposed, and the $V_{CE(sat)}$ precision measurement hardware circuit and monitoring software of the program are designed. Finally, on the experimental platform, a comparative experiment and analysis were carried out on the IGBT module after accelerated aging and under normal operating conditions. The experimental results show that the scheme can effectively and accurately realize the online monitoring of the aging failure status of the IGBT module.
{"title":"Research and Implementation of Online Monitoring Technology for IGBT Key Devices of High-power Power Supply","authors":"Wenjian Zhou, Sheng Yang, Y. Deng, Yifan Wang, Xiaoyu Yang, Xuming Liang","doi":"10.1109/ICEMI52946.2021.9679637","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679637","url":null,"abstract":"In order to improve the reliability of high-power power supply operation, it is of great significance to study the online monitoring technology of its internal IGBT module. In many current researches, IGBT status monitoring is difficult to implement online, affected by junction temperature, and monitoring circuit design is difficult. In this paper, $V_{CE(sat)}$ is selected as the online monitoring characteristic parameter, and an online monitoring method for IGBT module aging failure status based on measuring $V_{CE(sat)}$ under the condition of intersection collector current is proposed. This method does not need to consider the influence of junction temperature on the monitoring results. Based on this, an online monitoring program for the aging failure state of the three-phase high-power inverter power supply IGBT is proposed, and the $V_{CE(sat)}$ precision measurement hardware circuit and monitoring software of the program are designed. Finally, on the experimental platform, a comparative experiment and analysis were carried out on the IGBT module after accelerated aging and under normal operating conditions. The experimental results show that the scheme can effectively and accurately realize the online monitoring of the aging failure status of the IGBT module.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679516
W. Fan, Yu Cheng
Carbon fiber reinforced polymer (CFRP) is widely used because of its high specific strength and stiffness characteristics. However, the impact resistance of CFRP is inevitably subjected to impact during work. Electrical impedance tomography (EIT) has great potential in structural health monitoring (SHM) due to its non-destructive, non-intrusive and low cost. In the inverse problem of EIT, numerical algorithms are used to handle large data sets. However, traditional algorithms are computationally expensive and can be complex to implement. This paper aims to solve the inverse problem of EIT by deep learning. To achieve this goal, GRU-CNN model is adopted to the inverse problem of EIT. The RMSE (root mean squared error) and CC (correlation coefficient) are set as image quality criteria. Both simulation and experimental results prove the performance of this method.
{"title":"GRU-CNN Neural Network for Electrical Impedance Tomography","authors":"W. Fan, Yu Cheng","doi":"10.1109/ICEMI52946.2021.9679516","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679516","url":null,"abstract":"Carbon fiber reinforced polymer (CFRP) is widely used because of its high specific strength and stiffness characteristics. However, the impact resistance of CFRP is inevitably subjected to impact during work. Electrical impedance tomography (EIT) has great potential in structural health monitoring (SHM) due to its non-destructive, non-intrusive and low cost. In the inverse problem of EIT, numerical algorithms are used to handle large data sets. However, traditional algorithms are computationally expensive and can be complex to implement. This paper aims to solve the inverse problem of EIT by deep learning. To achieve this goal, GRU-CNN model is adopted to the inverse problem of EIT. The RMSE (root mean squared error) and CC (correlation coefficient) are set as image quality criteria. Both simulation and experimental results prove the performance of this method.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125683321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679575
Shuyi Liu, Zhuoyan Gao, Yan Jia, Yongqing Liu, Xiangkun Zhang
The stepped frequency signal is an important signal form to improve the range resolution of radar system, which effectively reduces the hardware requirements for ultra-wideband radar system. This article uses two signal generators, a spectrum analyzer and an oscilloscope to establish a stepped frequency ultra-wideband radar hardware-in-the-loop simulation system, and obtains super-resolution range signal through frequency domain wideband synthesis. Combining hardware-in-the-loop simulation with computer data processing, the experimental results show that the time resolution of the ultra-wideband signal synthesized by 35 28MHz sub-pulses is up to 1.06ns. The larger the bandwidth formed by the stepped frequency, the higher the range resolution, which verifies the effect of the stepped frequency on improving the range resolution.
{"title":"Research on Hardware-in-the-loop Simulation of Stepped Frequency Ultra-wideband Radar","authors":"Shuyi Liu, Zhuoyan Gao, Yan Jia, Yongqing Liu, Xiangkun Zhang","doi":"10.1109/ICEMI52946.2021.9679575","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679575","url":null,"abstract":"The stepped frequency signal is an important signal form to improve the range resolution of radar system, which effectively reduces the hardware requirements for ultra-wideband radar system. This article uses two signal generators, a spectrum analyzer and an oscilloscope to establish a stepped frequency ultra-wideband radar hardware-in-the-loop simulation system, and obtains super-resolution range signal through frequency domain wideband synthesis. Combining hardware-in-the-loop simulation with computer data processing, the experimental results show that the time resolution of the ultra-wideband signal synthesized by 35 28MHz sub-pulses is up to 1.06ns. The larger the bandwidth formed by the stepped frequency, the higher the range resolution, which verifies the effect of the stepped frequency on improving the range resolution.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132892177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679565
Tao Li, Dingding Zhao, Xianglong Ma, Guoqing Chen, Shu Jiang
In this paper, a standard device is designed for torque loading calibration and testing of torque sensors in water environments. The calibrated torque sensor adopts fiber Bragg grating full bridge optical path to realize the automatic compensation of temperature and bending moment. It is suitable for the measurement of torque parameters in water environment. In this paper, the measurement accuracy and underwater performance of torque standard device are tested by loading experiment in water environment. Experiments show that the maximum nonlinear error, repeatability and underwater working stability of the underwater torque sensor are good, which indicates that the torque sensor not only has good measurement accuracy, but also can work well in the underwater and other liquid environment. The research work in this paper provides an important technical means for torque measurement in liquid environment such as water.
{"title":"Research on Torque Calibration and Measurement Technology in Water","authors":"Tao Li, Dingding Zhao, Xianglong Ma, Guoqing Chen, Shu Jiang","doi":"10.1109/ICEMI52946.2021.9679565","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679565","url":null,"abstract":"In this paper, a standard device is designed for torque loading calibration and testing of torque sensors in water environments. The calibrated torque sensor adopts fiber Bragg grating full bridge optical path to realize the automatic compensation of temperature and bending moment. It is suitable for the measurement of torque parameters in water environment. In this paper, the measurement accuracy and underwater performance of torque standard device are tested by loading experiment in water environment. Experiments show that the maximum nonlinear error, repeatability and underwater working stability of the underwater torque sensor are good, which indicates that the torque sensor not only has good measurement accuracy, but also can work well in the underwater and other liquid environment. The research work in this paper provides an important technical means for torque measurement in liquid environment such as water.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122752961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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