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Simulation analysis of SVPWM based on seven-phase permanent magnet synchronous motor 基于七相永磁同步电机的SVPWM仿真分析
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217585
Dong Zhang, Benlian Xu, Haodong Yang, Peiyi Zhu
{"title":"Simulation analysis of SVPWM based on seven-phase permanent magnet synchronous motor","authors":"Dong Zhang, Benlian Xu, Haodong Yang, Peiyi Zhu","doi":"10.1109/ICCAIS.2017.8217585","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217585","url":null,"abstract":"With regard to the pulse width modulation (PWM) of seven-phase motor system if the three-phase space vector pulse width modulation (SVPWM) is simply extended to the seven phase motor system that is the seven phase of the traditional SVPWM it will produce a great harmonic current. In order to restrain the harmonic content of phase current the voltage vector synthesized in the 3rd harmonic subspace and the 5th harmonic subspace should be zero. Based on this idea the near six vectors space vector pulse width modulation (NSV-SVPWM) algorithm is proposed and the derivation process of the algorithm is given. This paper focuses on the analysis of a novel SVPWM algorithm for seven-phase permanent magnet synchronous motor (PMSM). At the same time the mathematical model of seven-phase PMSM is deduced and the voltage space vector distribution of seven phase voltage source inverter is analyzed. The simulation model of the seven-phase PMSM vector control system is established by using the Simulink tool of MATLAB. The correctness of the algorithm is confirmed by simulation and the purpose of restraining the current harmonic is achieved.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814690","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}
引用次数: 9
OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance OSPA(2):使用OSPA度量来评价多目标跟踪性能
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217598
Michael Beard, B. Vo, B. Vo
{"title":"OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance","authors":"Michael Beard, B. Vo, B. Vo","doi":"10.1109/ICCAIS.2017.8217598","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217598","url":null,"abstract":"The optimal sub-pattern assignment (OSPA) metric is a distance between two sets of points that jointly accounts for the dissimilarity in the number of points and the values of the points in the respective sets. The OSPA metric is often used for measuring the distance between two sets of points in Euclidean space. A common example is in multi-target filtering, where the aim is to estimate the set of current target states, all of which have the same dimension. In multi-target tracking (MTT), the aim is to estimate the set of target tracks over a period of time, rather than the set of target states at each time step. In this case, it is not sufficient to analyse the multi-target filtering error at each time step in isolation. It is important that a metric for evaluating MTT performance accounts for the dissimilarity between the overall target tracks, which are generally of different dimensions. In this paper, we demonstrate that MTT error can be captured using the OSPA metric to define a distance between two sets of tracks.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937743","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}
引用次数: 42
Base station energy efficiency of D2D device discovery D2D设备发现的基站能量效率
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217586
B. Narottama, Arfianto Fahmi, R. P. Astuti, Desti Madya Saputri, N. Andini, H. Vidyaningtyas, Patricius Evander Christy, Obed Rhesa Ludwiniananda, F. Rachmawati
{"title":"Base station energy efficiency of D2D device discovery","authors":"B. Narottama, Arfianto Fahmi, R. P. Astuti, Desti Madya Saputri, N. Andini, H. Vidyaningtyas, Patricius Evander Christy, Obed Rhesa Ludwiniananda, F. Rachmawati","doi":"10.1109/ICCAIS.2017.8217586","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217586","url":null,"abstract":"Device-to-device (D2D) communication not only expected to leverage the energy efficiency in the devices side but also on the network side. The previous works usually only address the energy efficiency of device discovery, which is an important process in D2D, in device side. In this work, we addressed the energy-efficiency of a network element during D2D device discovery. First, we adapted energy calculation for base station energy efficiency in independent device discovery. Second, we also adapted energy calculation for base station energy efficiency in network-assisted device discovery. Third, we conducted simulation to examine base station energy efficiency in both cases. Our simulation result shows that base station energy efficiency can be maximized by utilizing independent device discovery with multiple CHs in a cluster.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132511234","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}
引用次数: 1
Color mood grasping in video by state estimation over color space with particle filter 基于粒子滤波的色彩空间状态估计视频色彩情绪抓取
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217569
N. Ikoma
{"title":"Color mood grasping in video by state estimation over color space with particle filter","authors":"N. Ikoma","doi":"10.1109/ICCAIS.2017.8217569","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217569","url":null,"abstract":"As one possible model for human perception of color cue in vision, state space modeling approach and its particle filter implementation that grasps color mood in video by estimating the state defined over a color space has been proposed. The state space model is formulated over a state vector consisting of color instance and location of a small patch over the image frame. System model represents random fluctuation on each color instance and the location. New generation of color instances copes with emergence of new colors in the scene. Observation model evaluates likeliness of the color instance with the colors contained in the patch region specified by the location factor of the state vector. Experiment over a real image demonstrates performance of the proposed method. The prototype system has been developed for the experiment that works almost real-time for video image captured by a camera installed in PC. Abstraction of the video image becomes possible based on the proposed method that leads to further extension of the human perception model in higher level of knowledge and understanding of real scene.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079675","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}
引用次数: 2
An approximate optimal chernoff fusion method via importance sampling 一种基于重要抽样的近似最优chernoff融合方法
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217562
G. Liu, Ming Li, Wei Yi, Lijiang Kong
{"title":"An approximate optimal chernoff fusion method via importance sampling","authors":"G. Liu, Ming Li, Wei Yi, Lijiang Kong","doi":"10.1109/ICCAIS.2017.8217562","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217562","url":null,"abstract":"This paper focuses on addressing the decentralized data fusion (DDF) problem in dynamic sensor networks based on Chernoff rule. Generally, the Chernoff rule is challenging to implement since the fused probability density functions (pdfs) that cannot be obtained in closed form. Besides, the existing works for implementing Chernoff rule are mostly confined to iterative fusion of two sensors. To address these issues, a novel importance sampling (IS) based Chernoff fusion method is proposed. In particular, by considering the multi-sensor cases, the two sensor Chernoff fusion is generalized to a multi-sensor Chernoff fusion, and the accompanying high-order optimization problem for calculating fusion exponent is addressed by particle swarm optimization (PSO) method. Additionally, to ensure accurate approximation of the Chernoff fusion pdf, an IS based procedure is incorporated, wherein the Chernoff fusion is no longer achieved by fusing (Gaussian or Gaussian mixture) parameters of the local sensors but particle samples that obtained from IS. Numerical results show the efficiency of our method.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"412 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122866385","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}
引用次数: 0
Multi-target track before detect with labeled random finite set and adaptive correlation filtering 采用标记的随机有限集和自适应相关滤波方法进行多目标检测前跟踪
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217591
D. Kim
{"title":"Multi-target track before detect with labeled random finite set and adaptive correlation filtering","authors":"D. Kim","doi":"10.1109/ICCAIS.2017.8217591","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217591","url":null,"abstract":"In Track-Before-Detect (TBD), the aim is to jointly estimate the number of tracks and their states from low signal-to-noise ratio (SNR) images. This is a challenging problem due to the unknown and time varying number of targets as well as the nonlinearity and size of the image data. A good balance between tractability and fidelity is important in the design of the measurement model for such trackers. In this paper, we transform the raw images into predetection images via adaptive correlation filtering, then apply an efficient labeled random finite set tracking filter for image data. Moreover, instead of using a particle implementation, we use an unscented transformation implementation which is computationally efficient and does not suffer from particle depletion. Numerical studies using realistic radar-based TBD scenarios are presented to verify the efficiency of the proposed solution.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123961723","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}
引用次数: 3
Point set registration based on multi-object metrics 基于多目标度量的点集配准
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217584
Pablo Barrios, M. Adams
{"title":"Point set registration based on multi-object metrics","authors":"Pablo Barrios, M. Adams","doi":"10.1109/ICCAIS.2017.8217584","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217584","url":null,"abstract":"In robotics and computer vision, point set registration is necessary in many tasks, for example in estimating the motion of a sensor/sensors between subsequent scans containing point/feature sets. Currently, the Iterated Closest Point (ICP) method and its variants have been presented as possible solutions to this problem. However most of these methods lack robustness when random spatial and detection errors are present. This is because ICP methods typically use an L2 metric as part of their optimization criteria, which is unable to penalize cardinality errors. Therefore, this article presents a registration technique based on the multi-object Optimal Sub-Pattern Assignment (OSPA) and Cardinalized Optimal Linear Assignment (COLA) metrics, which penalize data differences based on both cardinality and spatial errors. This allows scan registration to take place in the presence of both inter-scan translation and orientation as well as detection errors.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995390","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}
引用次数: 1
The δ-generalized multi-Bernoulli poisson filter in a multi-sensor application δ-广义多重伯努利泊松滤波器在多传感器中的应用
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217589
Leonardo A. Cament, M. Adams, Javier Correa, C. Pérez
{"title":"The δ-generalized multi-Bernoulli poisson filter in a multi-sensor application","authors":"Leonardo A. Cament, M. Adams, Javier Correa, C. Pérez","doi":"10.1109/ICCAIS.2017.8217589","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217589","url":null,"abstract":"This paper proposes a multi-target tracking strategy using a δ-Generalized Multi-Bernoulli Poisson (δ-GMBP) filter applied in a multi-sensor scenario. The δ-GMBP distribution is closed under the Chapman-Kolmogorov equation and Bayes rule, and also closed for a wide family of multi-target likelihood functions which allows implementations of different kinematic and measurement models. One difference between the δ-GMBP and the state of the art of multi-Bernoulli filters is that the birth process is modeled with a Poisson Random Finite Set (RFS), which can be more intuitive. Further, in order to obtain the posterior of the δ-GMBP filter recursion, it is not necessary to iterate over all the components of the prior mixture. The δ-GMBP filter, also maintains track labels in the multi-Bernoulli components, thus no other association method is necessary. The experiments carried out consist of people walking in an open place and two sensors recording the scene from a fixed position. The sensors used in the experiment are a 3D lidar and a single-beam mono-pulse radar. The δ-GMBP filter is compared with the classical Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter, and the Marginal Multi-target Multi-Bernoulli (m-MeMBer) filter.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115256508","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}
引用次数: 5
Automatic part localization using 3D cuboid box for vehicle subcategory recognition 基于三维长方体的车辆子类识别零件自动定位
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217571
Younkwan Lee, Jongmin Yu, M. Jeon
{"title":"Automatic part localization using 3D cuboid box for vehicle subcategory recognition","authors":"Younkwan Lee, Jongmin Yu, M. Jeon","doi":"10.1109/ICCAIS.2017.8217571","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217571","url":null,"abstract":"In this paper, we propose an efficient vehicle model recognition method which utilize 3D cuboid box for detection and Convolutional Neural Networks (CNN)-based classifier. Our method automatically localizes the unique part of the vehicle as features which enhance the classification performance. The proposed method is tested on the dataset called BoxCars which contain 63,750 images with 148 categories and the test results show 93.49%.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122584469","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}
引用次数: 1
Influence of linear and nonlinear aerodynamic models on parameter identification for aircraft 线性和非线性气动模型对飞机参数辨识的影响
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217581
Juntao Liu, Shaobin Li, Xizhen Song, Chenxi Wang
{"title":"Influence of linear and nonlinear aerodynamic models on parameter identification for aircraft","authors":"Juntao Liu, Shaobin Li, Xizhen Song, Chenxi Wang","doi":"10.1109/ICCAIS.2017.8217581","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217581","url":null,"abstract":"The linear and nonlinear aerodynamic models are built to investigate the influence of the two models on the parameter identification results. The polynomial modeling method is used to establish the aerodynamic models while the existing dynamic model of aircraft and output error method in time domain are applied to identify aerodynamic parameters at low angles of attack. A comparison is made between linear model and nonlinear model in both mathematical and physical aspects. And the effect of the nonlinear term on the estimated parameters is analyzed. Results show that nonlinear aerodynamic model is more reliable than linear model at low angles of attack. The considerable deviation between the modeled outputs and measured data at 0–1 s is reduced by introducing the nonlinear term into the model. Moreover the differences between the identified results given by two models are mainly exhibited at the inflection points in the images of the aerodynamic coefficients.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386607","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}
引用次数: 3
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