Wang Cong, Ding Ming-li, Wei Shuangyu, L. Xian, H. Zhenning
{"title":"Fault diagnosis in a momentum wheel system based on unknown input observer","authors":"Wang Cong, Ding Ming-li, Wei Shuangyu, L. Xian, H. Zhenning","doi":"10.1109/EIIS.2017.8298689","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298689","url":null,"abstract":"The momentum wheel in the satellite is a complex non-linear closed-loop system with unknown input. The unknown input and the feedback increase the difficulty of its fault diagnosis. Firstly, this paper proposes a method in theory to detect and recognize the fault in a closed-loop system. This method diagnoses the different faults through an unknown input observer (UIO) as well as a common observer which is set behind the control mechanism. Then a model of the momentum wheel in the satellite is built and the previous theory is applied to the model. In the end, the experimental data demonstrates that this method can successfully detect and recognize the sensor failure, the control mechanism failure and the system parameter failure. The method proposed in this paper has reference value for other non-linear closed-loop systems with unknown input as long as they meet all the conditions.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132940166","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}
{"title":"Throughput optimization with random network coding in cooperative wireless network","authors":"Guojie Hu, Kui Xu, Youyun Xu","doi":"10.1109/EIIS.2017.8298598","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298598","url":null,"abstract":"In this paper, we focus on the cooperative strategy for multi-source multi-relay system. In order to overcome unreliable wireless channels, we introduce a certain diversity degree by limiting the number of original packets included in one transmission no more than the number of sources. We applied two diversity schemes, which called spatial diversity combined random linear network coding (SDRLNC) and simple spatial diversity (SSD), respectively. We derived bounds of throughput for these two schemes, respectively. Through simulation we got the conclusion that, given a series of parameters, the SDRLNC scheme always has a better performance and there always exists an optimal diversity degree for both schemes for the purpose of obtaining the optimal throughput.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133392576","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}
{"title":"Nonlinear chaos identification of traffic flow parameters on expressway based on the C-C average method","authors":"Liao Cheng, J. Yuanhua","doi":"10.1109/EIIS.2017.8298648","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298648","url":null,"abstract":"The transportation system is a complex giant system under a variety of internal and external factors restrict and influence, which makes traffic system showed a strong nonlinearity and uncertainty, and traffic flow is the most intuitive reflect these features. Phase space reconstruction based on the chaos is the necessary steps to analyze the nonlinear characteristics of complex systems. The C-C algorithm that using the correlation integral is an effective way to estimate the parameters of delay time τ and delay time window Tw of phase space reconstruction. Due to the length limited and noise of traffic flow time series, the τ and Tw estimated by C-C method is with volatility. To reduce value deviation, the C — C average algorithm is used in this paper to reconstruct the phase space, and to get the optimal delay time of short-term traffic flow parameters. Then the maximal Lyapunov exponent is calculated by the small-data method, to determine whether the traffic flow time series is chaotic system or not.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132632540","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}
{"title":"An attitude estimate method for fixed-wing UAV s using MEMS/GPS data fusion","authors":"Hui Tang, Zuo-jun Shen","doi":"10.1109/EIIS.2017.8298772","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298772","url":null,"abstract":"Unmanned Aerial Vehicles(UAVs) require high performance Attitude and Heading Reference System(AHRS) in automatic flight. This paper presents an attitude estimate method using Micro Electro Mechanical Systems(MEMS) and GPS data fusions. An Extended Kalman Filter(EKF) is developed in the algorithm. The measurements of MEMS Inertial Measuring Units(IMUs) and GPS receiver are modeled. The observation equations of EKF are simplified by the augmentation of GPS-derived accelerations and accelerometer measurements, which can reduce computational overhead. Simulation tests show the effectiveness of the proposed attitude estimate method.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"2672 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133778478","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}
{"title":"Design of safety capacitors quality inspection robot based on machine vision","authors":"Wan Zuxiang, Zhou Lei, Fang Junpeng","doi":"10.1109/EIIS.2017.8298545","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298545","url":null,"abstract":"For the safety capacitor, a specific electronic component, this paper realizes a kind of capacitor quality inspection robot based on machine vision.[1] This robot is mainly utilized to precisely detect the safety capacitor's appearance defects and capacity value and then reject the defective ones automatically [2]. In this paper, a capacitors appearance defect detection algorithm based on machine vision is realized, and a complete robot system is designed and implemented. This robot can complete capacitor location, and then grab, quality inspection, and finally discard the defective products in a pipeline manner. This system has great value in industrial automatic detection.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975966","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}
{"title":"Design of equipment anti-theft tracker based on wireless sensor network","authors":"Yu Han, Zhiliang Chen, Tinghang Guo","doi":"10.1109/EIIS.2017.8298681","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298681","url":null,"abstract":"Aiming at the present situation that laboratory property security risks still remain, an equipment anti-theft tracker based on Wireless Sensor Network is designed. It contains trigger and tracker. Infrared sensor, Bluetooth technology, GPS technology, GSM technology is used to achieve anti-theft alarming and mobile tracking. It contributes to maximizing the protection of laboratory safety, and to teaching and ensuring scientific research smooth running.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116377441","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}
Ding Ming-li, Ye Wei, Wang Cong, Yan Xi, H. Zhenning, Yu Jintao
{"title":"TT&C communication network survivability research methods based on simulated annealing particle swarm optimization algorithm","authors":"Ding Ming-li, Ye Wei, Wang Cong, Yan Xi, H. Zhenning, Yu Jintao","doi":"10.1109/EIIS.2017.8298758","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298758","url":null,"abstract":"In deep-space exploration missions, deep space tracking, telemetry and command (TT&C) network in a core position. In order to guarantee its work reliability, there is a large amount of redundancy in the network. But unnecessary equipment redundancy instead of increasing the reliability of the network, which makes the network structure more complicated, increases the maintenance costs, and cause the waste of resources. In this paper, a research method for survivability of deep space tracking, telemetry and command(TT&C) network is proposed. To reduce computing time complexity of tenacity, using simulated annealing particle swarm optimization algorithm (SAPSO). Results of experiments conducted in two basic networks and one realistic network illustrate that the algorithm is impactful and high-performance to calculate network tenacity, and give the reasonable optimization suggestions of network structure design in this paper.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919254","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}
{"title":"Design of the car image system based on FPGA","authors":"Yang Qiyan","doi":"10.1109/EIIS.2017.8298688","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298688","url":null,"abstract":"The whole car image system based on FPGA select Spartan 3A-DSP (XC3SD1800A) produced by Xilinx as the core processor, the system will sample multi-video signal of CMOS within FPGA for video format conversion, Scaler processing, birdviews conversion, multi-video signal synthesis. This paper mainly introduces the hardware composition of the system and the system function frame. At the same time, a algorithm that the original video is formatted to Bayer format by RGB565 is delivered, this algorithm shows the realization method of template operation based on FPGA.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125862286","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}
{"title":"Secrecy rate maximization for MIMO wiretap channels with a cooperative jammer using alternating optimization","authors":"Hehao Niu, Bangning Zhang, D. Guo, Zhao Bing","doi":"10.1109/EIIS.2017.8298607","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298607","url":null,"abstract":"In this paper, we study the secrecy rate maximization (SRM) problem for a multiple-input-multiple-output (MIMO) secrecy channel, where a multi-antenna cooperative jammer is employed to improve secret communication in the presence of multiple multi-antenna eavesdroppers. The SRM problem are not jointly convex in terms of the transmit covariance matrices of the legitimate transmitter and the cooperative jammer. To solve the non-convexity issues, we propose an alternating optimization (AO) approach to design the transmit covariance matrix of the legitimate transmitter and the cooperative jammer. Simulation results validated the performance of the proposed algorithms.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641620","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}
{"title":"Joint power allocation and transparent repeater gain setting algorithm in satellite communication systems","authors":"Yu Shi, D. Guo, Bangning Zhang","doi":"10.1109/EIIS.2017.8298679","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298679","url":null,"abstract":"It is significant to promote the power utilization efficiency nowadays for lack of on-board power resource in satellite communication systems. A power allocation model that aims at getting the maximum system capacity of joint repeater gain setting and power allocation is set up in the paper. Afterwards, the joint power allocation and repeater gain setting optimization algorithm is proposed. The algorithm based on duality theory and steepest descent algorithm isn't a convex function for the repeater gain. A method is put forward to work out the optimization problem and try to prove the algorithm can obtain the optimal results. The simulation results show that the algorithm designed in the paper can get the power allocation for the optimum transparent repeater gain value and the maximum system capacity.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523099","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}