2017 29th Chinese Control And Decision Conference (CCDC)最新文献_第3页

Research on impacts of the electric vehicles charging and discharging on power grid 电动汽车充放电对电网的影响研究

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978736

Xuesong Zhou, Lei Zou, Youjie Ma, Zhiqiang Gao

{"title":"Research on impacts of the electric vehicles charging and discharging on power grid","authors":"Xuesong Zhou, Lei Zou, Youjie Ma, Zhiqiang Gao","doi":"10.1109/CCDC.2017.7978736","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978736","url":null,"abstract":"In the present, more and more concerns have been paid to the world energy conservation and environmental protection, therefore, the development of electric vehicles(EVs) are speeding up. Electric vehicles have good environmental protection performance and can taking many kinds of energy as power the prominent characteristic, and electric vehicles are considered as green transportation for the 21st century. Automotive manufacturers, governments, and environmental organizations are taking more and more care about the electric vehicle. As zero emission vehicles, electric vehicles can radically decrease vehicles exhausting pollution to improve air environment and adjust the energy structure. So, the author assumes that electric vehicles should be developed vigorously in our country, but large-scale EVs charging has become a practical problem in the grid operation and planning of the distribution network. It might have great impacts on the system performance, such as overloading, reducing efficiency, deteriorating power quality and increasing power system losses. As the light vehicle fleet moves to electric drive (hybrid, battery, and fuel cell vehicles), an opportunity opens for “vehicle-to-grid” (V2G) power. V2G only makes sense if the vehicle and power market are matched. This paper briefly discusses the impact of the charging on the distribution system, the factors of causing the influence, the charging control methods that reduce the impacts on the distribution network and V2G techniques. Based on the current development status and problems, discuss the trend of EV.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"1398-1402"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83681236","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: 19

Image recognition method based on deep learning 基于深度学习的图像识别方法

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7979332

Xin Jia

引用次数: 39

The application of R-T-S smoothing algorithm in the post-processing of the integrated navigation R-T-S平滑算法在组合导航后处理中的应用

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978091

Sang Tian, Chen Jiabin, Song Chunlei, Yu Huan

引用次数: 1

Variable-step-length A∗ algorithm for path planning of mobile robot 移动机器人路径规划的变步长A *算法

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978469

Ke Da, L. Xiaoyu, Zhang Bi

{"title":"Variable-step-length A∗ algorithm for path planning of mobile robot","authors":"Ke Da, L. Xiaoyu, Zhang Bi","doi":"10.1109/CCDC.2017.7978469","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978469","url":null,"abstract":"The path planned by the traditional A∗ algorithm is not the shortest and there are too many steps because of the one grid step length. To overcome the drawbacks, an improved A∗ algorithm based on variable-step-length is presented for path planning of mobile robots. The environment of the mobile robot is modeled by the grid method. Considering that the reachable region of the mobile robot may be larger than one grid in each searching step, a variable-step-length scheme is proposed. The path planned in each cycle can be selected from the lines pointing to every grid in the reachable range surrounding the current grid. For the sake that the line distance between two points is the shortest, the planning indices such as the path distance and the step number are all better than those of the polygonal line planned by the traditional A∗ algorithm. Base on the variable-step-length, the searching direction and the improved cost function are designed for the optimal step. The corresponding obstacle avoidance algorithm is also discussed. The proposed variable-step-length A∗ algorithm make the mobile robot to choose an appropriate step according to the current environment and find a shorter and less steps path. The simulation results show the improved algorithm is more efficient for the path planning of the mobile robot.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"30 1","pages":"7129-7133"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81671543","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

Research on civil-military integration degree of weapon equipment research and production by system dynamics model 基于系统动力学模型的武器装备研发军民融合度研究

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978917

L. Xiaosong, Lv Bin, Jia Yujiao

{"title":"Research on civil-military integration degree of weapon equipment research and production by system dynamics model","authors":"L. Xiaosong, Lv Bin, Jia Yujiao","doi":"10.1109/CCDC.2017.7978917","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978917","url":null,"abstract":"The scientific analysis about Civil-military integration degree is foundation for Civil-military integration of weapon equipment research and production system. This paper defined concept about Civil-military integration degree, analyzed the model of Civil-military integration degree, designed causal relationship diagram of Civil-military integration degree, gave seven main variables to describe causal relationship diagram of Civil-military integration degree, the main variables included Market Concentration Rate, Efficiency of Resource Allocation, Market Access, Economies of Scale, Technological Innovation, Risk and Effectiveness, get six feedback loop for causal relationship diagram of Civil-military integration degree, established flowchart of System Dynamics model for Civil-military integration degree, constructed System Dynamics model of Civil-military integration degree. On this basis, simulated and analyzed Civil-military integration degree for three fields of weapon equipment research and production, get the optimal Civil-military integration degree for three fields of weapon equipment research and production. The conclusion will have definitely meaning to set up Civil-military integration of weapon equipment research and production system which have Chinese characteristics.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"26 1","pages":"2403-2406"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78263440","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

A fractional order composite MRAC for multi variable systems based on LDU factorization of Kp 基于Kp的LDU分解的多变量系统分数阶复合MRAC

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978078

Songsong Cheng, Yiheng Wei, Yanan Xiao, Yuquan Chen, Yong Wang

引用次数: 1

Dynamic bowtie filter design with Monte Carlo simulation for cone-beam CT 基于蒙特卡罗仿真的锥形束CT动态领结滤波器设计

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7979051

Huijie Zhu, Fuqiang Gao, Weiwen Wu, Fenglin Liu

引用次数: 2

The separation of positive and negative sequence component based on SOGI and cascade DSC and its application at unbalanced PWM rectifier 基于SOGI和级联DSC的正负序分量分离及其在不平衡PWM整流器上的应用

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978204

Cheng Qiming, Tan Fengren, Gao Jie, Zhang Yu, Yu Deqing

引用次数: 3

Feature extraction by common spatial pattern in frequency domain for motor imagery tasks classification 基于频率域共同空间模式的特征提取用于运动意象任务分类

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978220

Jie Wang, Zuren Feng, N. Lu

{"title":"Feature extraction by common spatial pattern in frequency domain for motor imagery tasks classification","authors":"Jie Wang, Zuren Feng, N. Lu","doi":"10.1109/CCDC.2017.7978220","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978220","url":null,"abstract":"Common spatial pattern (CSP) as a feature extraction algorithm has been successfully applied to classify EEG based motor imagery tasks in brain computer interface (BCI). Successful application of CSP depends on the character of input signals and the first and last m eigenvectors of projection matrix. In this study, we proposed a novel and robust feature extraction method designated frequency domain CSP (FDCSP) that the samples in frequency domain obtained by fast Fourier transform (FFT) algorithm and evenly distributed in 8–30Hz were employed as the input signals of CSP. Besides, we made some modifications to classical CSP to address the inconsistent issue and enhance the generalization ability. Cross validation classification accuracy and standard deviation based on training data were employed as the principle to optimize the subject-specific parameter m. Two public EEG datasets (BCI competition IV dataset 2a and 2b) were used to validate the proposed method. Experimental results demonstrated that the proposed method significantly outperformed many other state-of-the-art methods in classification performance. What's more, samples in frequency domain as the input signals of CSP are demonstrated more robust against preprocessing. Based on the two public datasets, the proposed FDCSP method has potential significance to motor imagery based BCI design in practice.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"21 1","pages":"5883-5888"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77999322","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: 29

Barometer measurement error modeling and correction for UAH altitude tracking UAH高度跟踪的气压计测量误差建模与校正

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7979052

Xue Bao, Zhi Xiong, Shouzhao Sheng, Yijie Dai, Sheng Bao, Jianye Liu

{"title":"Barometer measurement error modeling and correction for UAH altitude tracking","authors":"Xue Bao, Zhi Xiong, Shouzhao Sheng, Yijie Dai, Sheng Bao, Jianye Liu","doi":"10.1109/CCDC.2017.7979052","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979052","url":null,"abstract":"Altitude is a significant flight parameter for Unmanned Aerial Helicopters(UAH). Traditional vertical damping loop has been used to improve stability of vertical channel of the INS(inertial navigation system) with auxiliary altitude information. Barometer is a common and popular altimeter which can provide the continuous and reliable altitude information, however the measurement performance is rather poor due to several factors, including principle error, drifting behavior and sensitivity to environment changes in pressure uncorrelated with altitude. In this paper, the characteristics of the barometer measurement errors have been thoroughly investigated and we decomposed the barometer measurement errors into three components: principle error, drift error and external disturbance error. We proposed a scheme to estimate and correct the barometer measurement errors. GPS has been utilized in this paper as an auxiliary altimeter. A method has been proposed to estimate and correct the drift error by introducing a factor to change the measurement noise covariance. A serial experiments have been performed to validate the accuracy of the models and illustrate that the proposed method has better performance than normal Kalman filter.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"3166-3171"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75546615","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: 6