Pub Date : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082576
Yuxuan Liao, Zhongyuan Zhou, F. Tian
Microwave holographic imaging is typically used to capture microwave images of targets, which is an significant part of the current field of microwave imaging technology. With the Synthetic Aperture Radar (SAR) imaging algorithm, high-resolution microwave images can be reconstructed, and the intensity of the images qualitatively shows the complex permittivity contrast of the targets. In this paper, we first derive the SAR imaging algorithm, based on the formulation of the experimental parameters and the sample- under-test (SUT), and verify the effectiveness of the imaging algorithm by simulation. Then a microwave imaging system based on SAR algorithm is designed and built according to the required parameters and experimental scheme. the image is constructed by collecting S-parameters with SAR algorithm to obtain a holographic image containing the electromagnetic parameter information of the target.
{"title":"Microwave Imaging System Based on Synthetic Aperture Radar Algorithm","authors":"Yuxuan Liao, Zhongyuan Zhou, F. Tian","doi":"10.1109/ITNEC56291.2023.10082576","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082576","url":null,"abstract":"Microwave holographic imaging is typically used to capture microwave images of targets, which is an significant part of the current field of microwave imaging technology. With the Synthetic Aperture Radar (SAR) imaging algorithm, high-resolution microwave images can be reconstructed, and the intensity of the images qualitatively shows the complex permittivity contrast of the targets. In this paper, we first derive the SAR imaging algorithm, based on the formulation of the experimental parameters and the sample- under-test (SUT), and verify the effectiveness of the imaging algorithm by simulation. Then a microwave imaging system based on SAR algorithm is designed and built according to the required parameters and experimental scheme. the image is constructed by collecting S-parameters with SAR algorithm to obtain a holographic image containing the electromagnetic parameter information of the target.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124086379","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082153
Chai Heng, Zhang Ying-bo, Wang Jin-Feng
Aiming at signal of PRF jitter radar, the estimation of benchmark period from sparse observation with noise is researched in this paper. For that problem, Casey and Sadler proposed one algorithm called MEA (Modified Euclidean Algorithm), which can adapt to the pre-estimation of benchmark period of TOA sequence with noise when there is no deviation. That algorithm needs to conduct continuous differential calculation and employs the differential value when iteration stops as final estimation of benchmark period. When the observation sparse level is high and SNR is low, that algorithm may obtain ineffective estimation. Aiming at the characteristics of PRF jitter signal, this paper utilizes differential accumulation of each order of TOA sequence to conduct pre-estimation to its benchmark period. That both decreases the cumulative error and makes full use of information gain caused by large amount of jitter points, so as to achieve effective estimation to benchmark period under low SNR and period-noise ratio. Practical tests are conducted to jitter signal of navigation radar to validate the engineering feasibilty of the proposed algorithm.
{"title":"Estimation of Benchmark Period for PRF Jitter Signal Based on Cumulative Histogram","authors":"Chai Heng, Zhang Ying-bo, Wang Jin-Feng","doi":"10.1109/ITNEC56291.2023.10082153","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082153","url":null,"abstract":"Aiming at signal of PRF jitter radar, the estimation of benchmark period from sparse observation with noise is researched in this paper. For that problem, Casey and Sadler proposed one algorithm called MEA (Modified Euclidean Algorithm), which can adapt to the pre-estimation of benchmark period of TOA sequence with noise when there is no deviation. That algorithm needs to conduct continuous differential calculation and employs the differential value when iteration stops as final estimation of benchmark period. When the observation sparse level is high and SNR is low, that algorithm may obtain ineffective estimation. Aiming at the characteristics of PRF jitter signal, this paper utilizes differential accumulation of each order of TOA sequence to conduct pre-estimation to its benchmark period. That both decreases the cumulative error and makes full use of information gain caused by large amount of jitter points, so as to achieve effective estimation to benchmark period under low SNR and period-noise ratio. Practical tests are conducted to jitter signal of navigation radar to validate the engineering feasibilty of the proposed algorithm.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114862309","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082176
Yuankai Zeng, Feng Xu, Yunxing Gong, Sijie Huang
In order to realize real-time and high-speed distortion removal of camera images, a new improved high resolution and high frame rate image distortion based on FPGA is proposed. The traditional method uses four random access memory (RAM) to buffer the distorted image respectively, and then remaps it with the double rate synchronous dynamic random access memory (DDR), which will cause the system to be unable to process high-resolution images at high frame rates. A new RAM buffer architecture and an interpolation module more suitable for Field Programmable Gate Array (FPGA) implementation are proposed, which can improve the system’s ability to process high-speed and high-resolution distorted images in real time within the acceptable range of resources. Compared with the traditional FPGA de-distortion algorithm, the proposed method can de-distortion with the frame rate of 100 fps and the resolution of 3072 x 2048 x 8bit.
{"title":"Research on high resolution and high frame rate image de-distortion algorithm based on FPGA","authors":"Yuankai Zeng, Feng Xu, Yunxing Gong, Sijie Huang","doi":"10.1109/ITNEC56291.2023.10082176","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082176","url":null,"abstract":"In order to realize real-time and high-speed distortion removal of camera images, a new improved high resolution and high frame rate image distortion based on FPGA is proposed. The traditional method uses four random access memory (RAM) to buffer the distorted image respectively, and then remaps it with the double rate synchronous dynamic random access memory (DDR), which will cause the system to be unable to process high-resolution images at high frame rates. A new RAM buffer architecture and an interpolation module more suitable for Field Programmable Gate Array (FPGA) implementation are proposed, which can improve the system’s ability to process high-speed and high-resolution distorted images in real time within the acceptable range of resources. Compared with the traditional FPGA de-distortion algorithm, the proposed method can de-distortion with the frame rate of 100 fps and the resolution of 3072 x 2048 x 8bit.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672843","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082500
Jun Yang, Yujuan Wang, Kedong Bi
Directional transport of droplets is crucial for industrial applications and chemical engineering processes, which has demonstrated considerable promise in several fields, such as microelectromechanical systems and sensor devices. Nevertheless, controlled directional transport of nanodroplets in a 2D nanochannel has yet to be studied. In this work, we report an approach to achieving a self-driven behavior of a nanodroplet in a 2D nanochannel via a strain gradient. Meanwhile, the effect on the movement speed of the nanodroplet of different channel parameters is studied, including the magnitude of the strain gradient, interlayer distance, and interlayer angle of the nanochannel. Furthermore, how the nanochannel materials affect spontaneous movement is also explored. These simulation results are highly expected to shed new light on the study of the directional transport of a nanodroplet and open a new avenue for research on heat dissipation in microelectromechanical systems.
{"title":"Spontaneous transport of nanodroplets in 2D nanochannels","authors":"Jun Yang, Yujuan Wang, Kedong Bi","doi":"10.1109/ITNEC56291.2023.10082500","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082500","url":null,"abstract":"Directional transport of droplets is crucial for industrial applications and chemical engineering processes, which has demonstrated considerable promise in several fields, such as microelectromechanical systems and sensor devices. Nevertheless, controlled directional transport of nanodroplets in a 2D nanochannel has yet to be studied. In this work, we report an approach to achieving a self-driven behavior of a nanodroplet in a 2D nanochannel via a strain gradient. Meanwhile, the effect on the movement speed of the nanodroplet of different channel parameters is studied, including the magnitude of the strain gradient, interlayer distance, and interlayer angle of the nanochannel. Furthermore, how the nanochannel materials affect spontaneous movement is also explored. These simulation results are highly expected to shed new light on the study of the directional transport of a nanodroplet and open a new avenue for research on heat dissipation in microelectromechanical systems.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116890068","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082174
Mengying Zhao, Fanghao Liu, Bo Sun, Qinghu Meng
In view of the huge track circuit system and various faults, this paper proposes a Gaussian mixture model of particle swarm optimization algorithm with adaptive inertia weight to diagnose various fault modes of track circuit. EM algorithm in Gaussian mixture model is easy to be interfered by initial value and fall into local optimum, which leads to unstable diagnosis results and low diagnostic accuracy. The adaptive inertia weight particle swarm optimization algorithm is used to improve the Gaussian mixture model, find the optimal initial value for the model, and improve the stability and fault diagnosis ability of the model. The experimental results show that the improved model is more stable and accurate than the original model or the improved model using single particle swarm optimization algorithm.
{"title":"Track Circuit Fault Diagnosis based on APSO-GMM","authors":"Mengying Zhao, Fanghao Liu, Bo Sun, Qinghu Meng","doi":"10.1109/ITNEC56291.2023.10082174","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082174","url":null,"abstract":"In view of the huge track circuit system and various faults, this paper proposes a Gaussian mixture model of particle swarm optimization algorithm with adaptive inertia weight to diagnose various fault modes of track circuit. EM algorithm in Gaussian mixture model is easy to be interfered by initial value and fall into local optimum, which leads to unstable diagnosis results and low diagnostic accuracy. The adaptive inertia weight particle swarm optimization algorithm is used to improve the Gaussian mixture model, find the optimal initial value for the model, and improve the stability and fault diagnosis ability of the model. The experimental results show that the improved model is more stable and accurate than the original model or the improved model using single particle swarm optimization algorithm.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"28 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270489","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082267
Xianyuan Liu, Tao Lei, Ping Jiang
Fine-grained egocentric action recognition has made significant progress because of the advancement of supervised learning. Some real-world applications require the network trained on one dataset to perform well on another unlabeled dataset due to the difficulty of annotating new data. However, due to the disparity in dataset distributions, i.e. domain shift, the network is unable to retain its good performance across datasets. Therefore, in this paper, we use unsupervised domain adaptation to address this difficult challenge, i.e. training a model on labeled source data such that it can be directly used on unlabeled target data with the same categories. First, we use Transformer to capture spatial information, and then we propose a temporal attention module to model temporal interdependence. In consideration of the fact that multi-modal data provides more kinds of important information, we build a tri-stream network for spatio-temporal information fusion. Finally, we align source data with target data using adversarial learning. Our network outperforms the baselines on the largest egocentric dataset, the EPIC-KITCHENS-100 dataset.
{"title":"Fine-Grained Egocentric Action Recognition with Multi-Modal Unsupervised Domain Adaptation","authors":"Xianyuan Liu, Tao Lei, Ping Jiang","doi":"10.1109/ITNEC56291.2023.10082267","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082267","url":null,"abstract":"Fine-grained egocentric action recognition has made significant progress because of the advancement of supervised learning. Some real-world applications require the network trained on one dataset to perform well on another unlabeled dataset due to the difficulty of annotating new data. However, due to the disparity in dataset distributions, i.e. domain shift, the network is unable to retain its good performance across datasets. Therefore, in this paper, we use unsupervised domain adaptation to address this difficult challenge, i.e. training a model on labeled source data such that it can be directly used on unlabeled target data with the same categories. First, we use Transformer to capture spatial information, and then we propose a temporal attention module to model temporal interdependence. In consideration of the fact that multi-modal data provides more kinds of important information, we build a tri-stream network for spatio-temporal information fusion. Finally, we align source data with target data using adversarial learning. Our network outperforms the baselines on the largest egocentric dataset, the EPIC-KITCHENS-100 dataset.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111883","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082241
Gaocai Yang, Xiaofan Su, Yuzheng Xie, Pingjiang Lu, Fula Hou
With the development of the national economy, the power system load is increasing, and the capacity of the generator and the main transformer of the substation is also growing. It is necessary to increase the transformer capacity in the substation power supply area to ensure the power supply capacity of the substation. Based on the short-circuit calculation of the 500kV substation and the N-1 failure analysis of the main transformer, the security margin of the 500kV transformer load rate and the security index of short-circuit current of 220kV bus in the 500kV substation are proposed. Then the limit transmission capacity security margin of 220kV transmission lines in the power supply area and the standard deviation of the grid load of the 500kV main transformer after the expansion scheme adopted is calculated. The main transformer reorganization and expansion schemes are assessed comprehensively and objectively from the above four aspects. Finally, the effectiveness and adaptability of the proposed method are verified by a provincial power grid.
{"title":"Evaluation Method of Main Transformer Capacity Expansion Scheme in Power Supply Area of 500kV Substation","authors":"Gaocai Yang, Xiaofan Su, Yuzheng Xie, Pingjiang Lu, Fula Hou","doi":"10.1109/ITNEC56291.2023.10082241","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082241","url":null,"abstract":"With the development of the national economy, the power system load is increasing, and the capacity of the generator and the main transformer of the substation is also growing. It is necessary to increase the transformer capacity in the substation power supply area to ensure the power supply capacity of the substation. Based on the short-circuit calculation of the 500kV substation and the N-1 failure analysis of the main transformer, the security margin of the 500kV transformer load rate and the security index of short-circuit current of 220kV bus in the 500kV substation are proposed. Then the limit transmission capacity security margin of 220kV transmission lines in the power supply area and the standard deviation of the grid load of the 500kV main transformer after the expansion scheme adopted is calculated. The main transformer reorganization and expansion schemes are assessed comprehensively and objectively from the above four aspects. Finally, the effectiveness and adaptability of the proposed method are verified by a provincial power grid.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117184518","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082165
Zhenzhen Xie, Jieyu Wu, Kuang-wei Zhang, Xin L. Lu, Zefeng Xu, Bo Jin
For the wireless power transmission system constructed by loosely coupled transformer, the transmission characteristics of the system affected by the transformer iron consumption after the addition of S-S type compensation structure are analyzed. The T-type equivalent circuit of the transformer is used to model the system, the output power and efficiency of the system are calculated by impedance analysis method and the maximum power transmission theorem, and the parameter curve of the compensation capacitor which makes the transmission power of the system reach the maximum value is obtained. Different points on the curve are selected for calculation and simulation, and the transmitted power, efficiency and output voltage and current waveform of the system are compared. The reference method of compensation capacitance parameter selection for the infinite power transmission system of loosely-coupled transformer with S-S compensation structure is obtained.
{"title":"Analysis of Transmission Characteristics of Loosely Coupled Transformer with S-S Compensation Structure","authors":"Zhenzhen Xie, Jieyu Wu, Kuang-wei Zhang, Xin L. Lu, Zefeng Xu, Bo Jin","doi":"10.1109/ITNEC56291.2023.10082165","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082165","url":null,"abstract":"For the wireless power transmission system constructed by loosely coupled transformer, the transmission characteristics of the system affected by the transformer iron consumption after the addition of S-S type compensation structure are analyzed. The T-type equivalent circuit of the transformer is used to model the system, the output power and efficiency of the system are calculated by impedance analysis method and the maximum power transmission theorem, and the parameter curve of the compensation capacitor which makes the transmission power of the system reach the maximum value is obtained. Different points on the curve are selected for calculation and simulation, and the transmitted power, efficiency and output voltage and current waveform of the system are compared. The reference method of compensation capacitance parameter selection for the infinite power transmission system of loosely-coupled transformer with S-S compensation structure is obtained.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030590","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 : 2023-02-24DOI: 10.1109/ITNEC56291.2023.10082108
Weiguang Zhao, Jianxing Han
In view of the deficiencies of the traditional military configuration evaluation mode with real troops, real weapons and live ammunition, and carry out research on the design of simulation evaluation technology for naval gun confrontation training of both red and blue sides. The functional structure and evaluation process of naval gun confrontation training simulation evaluation are designed, the key technologies such as the missing distance of naval gun and the evaluation of confrontation effect are emphatically studied, which can be used to operate the portable naval gun confrontation training simulation environment, and realize the iterative optimization of the confrontation combat training scheme and organize as needed.
{"title":"Research on Simulation Evaluation Technology of Naval Gun Confrontation Training","authors":"Weiguang Zhao, Jianxing Han","doi":"10.1109/ITNEC56291.2023.10082108","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082108","url":null,"abstract":"In view of the deficiencies of the traditional military configuration evaluation mode with real troops, real weapons and live ammunition, and carry out research on the design of simulation evaluation technology for naval gun confrontation training of both red and blue sides. The functional structure and evaluation process of naval gun confrontation training simulation evaluation are designed, the key technologies such as the missing distance of naval gun and the evaluation of confrontation effect are emphatically studied, which can be used to operate the portable naval gun confrontation training simulation environment, and realize the iterative optimization of the confrontation combat training scheme and organize as needed.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974198","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 this paper, based on the models of space robot and target satellite in ADMAS, the uniform design experimentation schemes of mechanical arm locking and twisting process to target, the simulation of locking and twisting effect, the unknown situations of space robot and target connection because of mechanical arm’s careless operations was showed intuitively.
{"title":"Locking and Twisting Effect Simulation in ADAMS of Space Robot to Target Satellite Based on Uniform Design","authors":"Linjiang Huang, Xiaohong Yu, Jiejuan Wang, Xinling Li, Yijia Qu","doi":"10.1109/ITNEC56291.2023.10082236","DOIUrl":"https://doi.org/10.1109/ITNEC56291.2023.10082236","url":null,"abstract":"In this paper, based on the models of space robot and target satellite in ADMAS, the uniform design experimentation schemes of mechanical arm locking and twisting process to target, the simulation of locking and twisting effect, the unknown situations of space robot and target connection because of mechanical arm’s careless operations was showed intuitively.","PeriodicalId":218770,"journal":{"name":"2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124692016","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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