The voltage change process of distribution network of heavy-ion accelerator is complicated, and the condition monitoring method based on a fixed threshold has great limitations. Therefore, a condition monitoring method based on auto-encoder and bidirectional long short-term memory network is proposed. Firstly, the model has the ability to extract the cross correlation, temporal correlation and dependence of multi-dimensional temporal data, the normal monitoring data of distribution network are reconstructed to obtain the reconstruction error. Then, the mahalanobis distance of reconstruction error is calculated as the condition indicator of distribution network, and the probability density distribution of condition indicator is fitted by kernel density estimation method to determine the abnormal threshold of condition indicator. Finally, the contribution degree of each variable is calculated to determine the variables most related to the abnormal changes, so as to achieve the purpose of voltage condition monitoring of distribution network. The results show that the proposed method can detect abnormal changes and trends in monitoring data, so as to accurately and deeply grasp the condition of accelerator distribution network, which is of great significance for implementing machine protection and optimizing power quality of high-power and high-current heavy-ion accelerator in the future.
{"title":"Voltage Condition Monitoring Method of Accelerator Distribution Network Based on Deep Learning","authors":"Dezhi Wang, Jiang Zhao, Zhongzu Zhou, Peng Sun, Xinghui Jiang, Anhui Feng","doi":"10.1109/ICEMI52946.2021.9679658","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679658","url":null,"abstract":"The voltage change process of distribution network of heavy-ion accelerator is complicated, and the condition monitoring method based on a fixed threshold has great limitations. Therefore, a condition monitoring method based on auto-encoder and bidirectional long short-term memory network is proposed. Firstly, the model has the ability to extract the cross correlation, temporal correlation and dependence of multi-dimensional temporal data, the normal monitoring data of distribution network are reconstructed to obtain the reconstruction error. Then, the mahalanobis distance of reconstruction error is calculated as the condition indicator of distribution network, and the probability density distribution of condition indicator is fitted by kernel density estimation method to determine the abnormal threshold of condition indicator. Finally, the contribution degree of each variable is calculated to determine the variables most related to the abnormal changes, so as to achieve the purpose of voltage condition monitoring of distribution network. The results show that the proposed method can detect abnormal changes and trends in monitoring data, so as to accurately and deeply grasp the condition of accelerator distribution network, which is of great significance for implementing machine protection and optimizing power quality of high-power and high-current heavy-ion accelerator in the future.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"15 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":"128482200","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/ICEMI52946.2021.9679660
Yihang Zhao, Xun Zhou, W. Huang, Z. Liu
In order to solve the problem of starting a surface mounted permanent synchronous magnet motor(SPMSM) with unknown initial position, this paper proposed a method for locating the initial position based on discrete Fourier transform feature extraction and polarity identification of forward and reverse pulse excitation. Based on the traditional high frequency voltage injection method of pulse vibration, this paper studied a new method of location feature extraction. The discrete Fourier transform is used to replace the filter to simplify the algorithm structure, and at the same time, this can also avoid amplitude attenuation and phase shift caused by filtering. In addition, for the polarity compensation of the estimated position, this paper designed a forward and reverse pulse excitation method with multi-position check and DC bias compensation, which overcomes the common problem that the current peak discrimination is easily affected by the bias voltage. The proposed method does not depend on the convex polarity of the motor structure, and effectively solves the problem that the surface mounted permanent synchronous magnet is difficult to locate the initial position. Finally, a prototype platform is built for experimental analysis. The results show that the proposed method can detect the initial position of the motor quickly and accurately in the static state, had has strong practicability and robustness.
{"title":"A Soft Measurement Method for Initial Position of SPMSM with Multi-Pulse Excitation*","authors":"Yihang Zhao, Xun Zhou, W. Huang, Z. Liu","doi":"10.1109/ICEMI52946.2021.9679660","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679660","url":null,"abstract":"In order to solve the problem of starting a surface mounted permanent synchronous magnet motor(SPMSM) with unknown initial position, this paper proposed a method for locating the initial position based on discrete Fourier transform feature extraction and polarity identification of forward and reverse pulse excitation. Based on the traditional high frequency voltage injection method of pulse vibration, this paper studied a new method of location feature extraction. The discrete Fourier transform is used to replace the filter to simplify the algorithm structure, and at the same time, this can also avoid amplitude attenuation and phase shift caused by filtering. In addition, for the polarity compensation of the estimated position, this paper designed a forward and reverse pulse excitation method with multi-position check and DC bias compensation, which overcomes the common problem that the current peak discrimination is easily affected by the bias voltage. The proposed method does not depend on the convex polarity of the motor structure, and effectively solves the problem that the surface mounted permanent synchronous magnet is difficult to locate the initial position. Finally, a prototype platform is built for experimental analysis. The results show that the proposed method can detect the initial position of the motor quickly and accurately in the static state, had has strong practicability and robustness.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"60 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":"128153412","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/ICEMI52946.2021.9679581
Hengyang Fang, Changhua Lu, Feng Hong, Weiwei Jiang, Tao Wang
In recent years, the occurrence of cardiovascular diseases (CVD) has tended to be younger, and the monitoring of abnormal ECG signal is an important ways of preventing CVD. In view of the fact that arrhythmias will only appear in the daily life of patients with a small probability, an ECG signal classification method that fits the actual scene is proposed, which further improves the classification ability of abnormal ECG. Tested by the MIT-BIH arrhythmia database, the overall accuracy of the method reached 92.6%, and the f1 value was 65.9. Compared with the existing methods, the proposed ECG signal classifier is competitive.
{"title":"Convolutional Neural Network for Heartbeat Classification","authors":"Hengyang Fang, Changhua Lu, Feng Hong, Weiwei Jiang, Tao Wang","doi":"10.1109/ICEMI52946.2021.9679581","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679581","url":null,"abstract":"In recent years, the occurrence of cardiovascular diseases (CVD) has tended to be younger, and the monitoring of abnormal ECG signal is an important ways of preventing CVD. In view of the fact that arrhythmias will only appear in the daily life of patients with a small probability, an ECG signal classification method that fits the actual scene is proposed, which further improves the classification ability of abnormal ECG. Tested by the MIT-BIH arrhythmia database, the overall accuracy of the method reached 92.6%, and the f1 value was 65.9. Compared with the existing methods, the proposed ECG signal classifier is competitive.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":" 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":"132075937","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}
Line laser measurement technology has been widely used in the field of modern measurement due to quickly and efficiently collect the three-dimensional information of entities. In order to evaluate the measurement results of line laser, a measurement system based on line laser scanning is established in this paper. The sources of uncertainty of the measurement system are analyzed from two aspects: error traceability and value statistics. The measurement results are modeled by value statistics, the dimension of the standard gauge block is used as the evaluation object, the uncertainty of the measurement results is evaluated by GUM method and MCM method. The experimental results show that the uncertainty results obtained by the two methods are consistent, the distribution of the dimension calibration measurement results follows the trapezoidal distribution, and the uncertainty component introduced by temperature compensation is small, which can be ignored.
{"title":"Uncertainty Analysis of Dimension Calibration for Line Laser Scanning Measurement System","authors":"Yifan Zhao, Yiming Zhou, Rongrui Gu, Zhongyu Wang, Yinbao Cheng","doi":"10.1109/ICEMI52946.2021.9679495","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679495","url":null,"abstract":"Line laser measurement technology has been widely used in the field of modern measurement due to quickly and efficiently collect the three-dimensional information of entities. In order to evaluate the measurement results of line laser, a measurement system based on line laser scanning is established in this paper. The sources of uncertainty of the measurement system are analyzed from two aspects: error traceability and value statistics. The measurement results are modeled by value statistics, the dimension of the standard gauge block is used as the evaluation object, the uncertainty of the measurement results is evaluated by GUM method and MCM method. The experimental results show that the uncertainty results obtained by the two methods are consistent, the distribution of the dimension calibration measurement results follows the trapezoidal distribution, and the uncertainty component introduced by temperature compensation is small, which can be ignored.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"25 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":"130216418","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/ICEMI52946.2021.9679651
E. Tan, Shunmei Huang, Jimin Ruan
In view of the limitations of artificial neural network, support vector machine (SVM) and other artificial intelligence algorithms have limitations: they need a large number of training samples, and the algorithm takes a long time. This paper proposes an analog circuit fault diagnosis method based on matrix feature analysis. The method establishes an output response matrix in which the elements change when the circuit fails. By comparing the difference between the fault-free output matrix and the fault output matrix, faults can be diagnosed. According to the matrix theory, the spectral radius of the matrix and the maximum singular value of the perturbation matrix are used to describe the difference. In a single fault mode, conic curve fitting can realize fault diagnosis, fault location and parameter identification. The international standard circuit Sallen_Key circuit is taken as the verification object, and the results show that the method can judge the fault of analog circuit and locate the fault well. By this method, the fault diagnosis rate is as high as 99.85%, and the circuit can be measured by locating the fault to determine the measurable components of the circuit.
{"title":"Fault Diagnosis Optimization Method of Analog Circuit Based on Matrix Model","authors":"E. Tan, Shunmei Huang, Jimin Ruan","doi":"10.1109/ICEMI52946.2021.9679651","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679651","url":null,"abstract":"In view of the limitations of artificial neural network, support vector machine (SVM) and other artificial intelligence algorithms have limitations: they need a large number of training samples, and the algorithm takes a long time. This paper proposes an analog circuit fault diagnosis method based on matrix feature analysis. The method establishes an output response matrix in which the elements change when the circuit fails. By comparing the difference between the fault-free output matrix and the fault output matrix, faults can be diagnosed. According to the matrix theory, the spectral radius of the matrix and the maximum singular value of the perturbation matrix are used to describe the difference. In a single fault mode, conic curve fitting can realize fault diagnosis, fault location and parameter identification. The international standard circuit Sallen_Key circuit is taken as the verification object, and the results show that the method can judge the fault of analog circuit and locate the fault well. By this method, the fault diagnosis rate is as high as 99.85%, and the circuit can be measured by locating the fault to determine the measurable components of the circuit.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"8 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":"127859830","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/ICEMI52946.2021.9679542
Lin Xu, Peng Ye, Shuang Liao, Cheng Chen, J. Zhang, Feng Tan
The research of time domain stability is very important for crystal oscillator. As so far, large range of the average time from milliseconds to thousands of seconds to assess the oscillator's stability is still on the way. In this work, a hybrid method to measure the large range of the Allan deviation of an oscillator is described. This method combines the Allan deviation of short average time with the Allan deviation of long average time, the former is converted from the single sideband phase noise, and the latter is from the directly measured Allan deviation of the oscillator. In this paper, the explicit expression of the relationship between the frequency stability in the time domain and the frequency domain is given, and the accuracy of the conversion from phase noise to Allan deviation is analyzed. Finally, taking a low phase noise 10MHz oven-controlled crystal oscillator as an example, the Allan deviation of the average time from 1 microsecond to 10000 seconds is measured. And the experimental results are in good agreement with the theoretical analysis, which shows that the hybrid method can extend the average time range of the Allan deviation measurement effectively.
{"title":"Hybrid Method for Extend the Measured Average Time Range of Allan Deviation","authors":"Lin Xu, Peng Ye, Shuang Liao, Cheng Chen, J. Zhang, Feng Tan","doi":"10.1109/ICEMI52946.2021.9679542","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679542","url":null,"abstract":"The research of time domain stability is very important for crystal oscillator. As so far, large range of the average time from milliseconds to thousands of seconds to assess the oscillator's stability is still on the way. In this work, a hybrid method to measure the large range of the Allan deviation of an oscillator is described. This method combines the Allan deviation of short average time with the Allan deviation of long average time, the former is converted from the single sideband phase noise, and the latter is from the directly measured Allan deviation of the oscillator. In this paper, the explicit expression of the relationship between the frequency stability in the time domain and the frequency domain is given, and the accuracy of the conversion from phase noise to Allan deviation is analyzed. Finally, taking a low phase noise 10MHz oven-controlled crystal oscillator as an example, the Allan deviation of the average time from 1 microsecond to 10000 seconds is measured. And the experimental results are in good agreement with the theoretical analysis, which shows that the hybrid method can extend the average time range of the Allan deviation measurement effectively.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"83 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":"131656938","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/ICEMI52946.2021.9679635
Xiaoyan Zhuang, Xibin Yuan
Analog to information converter (AIC) technique is an efficient approach to achieve sub-Nyquist sampling, and is also the most popular application of the compressed sensing theory. However, the parallel architecture AIC acquisition system suffers from the mismatch of channels, especially the phase mismatch. Due to the asynchronism of pseudo random sequence, it will introduce the mismatch between practical system and the analysis model, and degrades the performance of reconstruction. In this paper, we investigate the impact of gain, offset, and phase mismatch on the reconstruction, and propose a calibration method. A calibration matrix is proposed for the phase mismatch, which is constructed based on fractional delay filter. Experiment is reported to evaluate the proposed calibration algorithm, and the results indicate that the proposed approach is feasible and efficient.
{"title":"Calibration of Analog to Information Converter based Sampling System","authors":"Xiaoyan Zhuang, Xibin Yuan","doi":"10.1109/ICEMI52946.2021.9679635","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679635","url":null,"abstract":"Analog to information converter (AIC) technique is an efficient approach to achieve sub-Nyquist sampling, and is also the most popular application of the compressed sensing theory. However, the parallel architecture AIC acquisition system suffers from the mismatch of channels, especially the phase mismatch. Due to the asynchronism of pseudo random sequence, it will introduce the mismatch between practical system and the analysis model, and degrades the performance of reconstruction. In this paper, we investigate the impact of gain, offset, and phase mismatch on the reconstruction, and propose a calibration method. A calibration matrix is proposed for the phase mismatch, which is constructed based on fractional delay filter. Experiment is reported to evaluate the proposed calibration algorithm, and the results indicate that the proposed approach is feasible and efficient.","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":"128849021","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/ICEMI52946.2021.9679502
Ximing Yu, Zihao Liu, Yu Peng
Cloud detection plays an important role in pre-processing of the remote sensing image to locate the potential area of the target fast and improve the detection efficiency. Although the cloud detection performance is not ideal in the complex ground, such as bright buildings on the ground, the OTSU based method is used to achieve fast cloud detection onboard for the single scenarios due to the simple calculation process. However, due to the sequential processing capabilities provided by the onboard processors, the processing complexity of OTSU increases significantly as the image size increasing. In this article, a fast cloud detection method based on the improved 2D OTSU with Zynq system on chip (SoC) is proposed. The improved 2D OTSU method is utilized for cloud detection to provide the capability to distinguish highlight buildings on the ground. And the parallel processing for key process in the 2D OTSU provided by the field programmable gate array in Zynq SoC to improve computing efficiency. Compared with the 1D OTSU, experimental results show that the proposed method could achieve high detection precision. Meanwhile, the processing time is about 0.18s for a 512×512 size image, which is a relative fast speed for the practical application.
{"title":"A Fast Cloud Detection based on Improved 2D OTSU with Zynq SoC","authors":"Ximing Yu, Zihao Liu, Yu Peng","doi":"10.1109/ICEMI52946.2021.9679502","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679502","url":null,"abstract":"Cloud detection plays an important role in pre-processing of the remote sensing image to locate the potential area of the target fast and improve the detection efficiency. Although the cloud detection performance is not ideal in the complex ground, such as bright buildings on the ground, the OTSU based method is used to achieve fast cloud detection onboard for the single scenarios due to the simple calculation process. However, due to the sequential processing capabilities provided by the onboard processors, the processing complexity of OTSU increases significantly as the image size increasing. In this article, a fast cloud detection method based on the improved 2D OTSU with Zynq system on chip (SoC) is proposed. The improved 2D OTSU method is utilized for cloud detection to provide the capability to distinguish highlight buildings on the ground. And the parallel processing for key process in the 2D OTSU provided by the field programmable gate array in Zynq SoC to improve computing efficiency. Compared with the 1D OTSU, experimental results show that the proposed method could achieve high detection precision. Meanwhile, the processing time is about 0.18s for a 512×512 size image, which is a relative fast speed for the practical application.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"25 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":"122300561","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/ICEMI52946.2021.9679645
Manjing Zhu
With the extensive application of big data, cloud computing, Internet of Things, artificial intelligence, block chain and other complex scenarios, frequent switching and login between multiple systems, inconsistent data of various business systems, multiple filling and submission of the same data form and high concurrent applications emerge in an endless stream. To solve the above problems, according to the characteristics of middle platform and micro service architecture and one-stop service platform needs of wisdom campus, it was put forward that wisdom campus one-stop service platform architecture designing based on the concept of middle platform and micro service architecture. Meanwhile, taking Jiangxi Open University as an example, we have finished design and construction and implement. Result shows that the one-stop service platform is highly cohesive, loosely coupled, rapid response, easy to expand and manageable for wisdom teaching and management and service.
{"title":"Architecture Design of Intelligent Campus One-stop Service Platform Based on Middle Platform and Micro Service","authors":"Manjing Zhu","doi":"10.1109/ICEMI52946.2021.9679645","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679645","url":null,"abstract":"With the extensive application of big data, cloud computing, Internet of Things, artificial intelligence, block chain and other complex scenarios, frequent switching and login between multiple systems, inconsistent data of various business systems, multiple filling and submission of the same data form and high concurrent applications emerge in an endless stream. To solve the above problems, according to the characteristics of middle platform and micro service architecture and one-stop service platform needs of wisdom campus, it was put forward that wisdom campus one-stop service platform architecture designing based on the concept of middle platform and micro service architecture. Meanwhile, taking Jiangxi Open University as an example, we have finished design and construction and implement. Result shows that the one-stop service platform is highly cohesive, loosely coupled, rapid response, easy to expand and manageable for wisdom teaching and management and service.","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":"120955601","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 design level of spacecraft and meet the requirements of spacecraft development, it is urgent to research the calibration technology of spacecraft attitude and orbit control system (AOCS). A calibration method for satellite earth sensor simulator is proposed, and a calibration device is developed. Based on the operating mechanism and mathematical model of the satellite earth sensor simulator, with FPGA and microcontroller as the control core, the single-board computer receives and sends dynamic parameter commands through the CAN bus, completes the setting by solving the edge of the chord width signal Calibration of pitch angle and roll angle. The calibration device has a high degree of integration and fast calculation efficiency, and realizes online automatic calibration of the satellite dynamics algorithm and the hardware simulator during the whole work process. Contribute to the measurement of the information domain of the attitude orbit control system.
{"title":"Research on Satellite Earth Sensor Simulator Calibration Technology","authors":"Kai Wang, Heying Wang, Zhanli Liu, Zhiyuan Hu, Baolin Wang, Yujing Wu","doi":"10.1109/ICEMI52946.2021.9679674","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679674","url":null,"abstract":"In order to improve the design level of spacecraft and meet the requirements of spacecraft development, it is urgent to research the calibration technology of spacecraft attitude and orbit control system (AOCS). A calibration method for satellite earth sensor simulator is proposed, and a calibration device is developed. Based on the operating mechanism and mathematical model of the satellite earth sensor simulator, with FPGA and microcontroller as the control core, the single-board computer receives and sends dynamic parameter commands through the CAN bus, completes the setting by solving the edge of the chord width signal Calibration of pitch angle and roll angle. The calibration device has a high degree of integration and fast calculation efficiency, and realizes online automatic calibration of the satellite dynamics algorithm and the hardware simulator during the whole work process. Contribute to the measurement of the information domain of the attitude orbit control system.","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":"121108654","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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