2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)最新文献_第2页

Unmanned aerial vehicle based forest fire monitoring and detection using image processing technique 基于图像处理技术的无人机森林火灾监测与探测

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829074

C. Yuan, K. Ghamry, Zhixiang Liu, Youmin Zhang

引用次数: 30

Modeling of fingerprint characteristics of wireless communication channel 无线通信信道指纹特征建模

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829051

Chunli Jiang, Zhenglin Li

引用次数: 2

Astronomical image restoration using Bayesian methods 基于贝叶斯方法的天文图像恢复

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828944

Xiaoping Shi, Rui Guo, Zicai Wang

引用次数: 0

Real-time obstacle avoidance for fixed-wing vehicles in complex environment 复杂环境下固定翼飞行器的实时避障

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828835

Rong Ma, Wenrui Ma, Xiaolong Chen, Jia Li

引用次数: 2

Research on adaptation criteria generation based on large data mining 基于大数据挖掘的自适应准则生成研究

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828978

Hongwon Yun, Li Xu, Hao Dou, De-Lie Ming

引用次数: 0

Robust monocular vision navigation for spacecraft on-orbit service 航天器在轨服务鲁棒单目导航

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829043

Chun Jiang, Yunhua Wu, Lin-Lin Ge, Bing Hua, Feng Yu, Zhiming Chen

引用次数: 0

Adaptive motion cueing algorithm based on fuzzy tuning for improving human sensation 基于模糊调优的自适应运动提示算法改善人的感觉

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828958

Tang Zhiyong, Ma Hu, Pei Zhongcai, Z. Jinhui

{"title":"Adaptive motion cueing algorithm based on fuzzy tuning for improving human sensation","authors":"Tang Zhiyong, Ma Hu, Pei Zhongcai, Z. Jinhui","doi":"10.1109/CGNCC.2016.7828958","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828958","url":null,"abstract":"As one of the key technologies of flight simulator, motion cueing algorithm (MCA) plays a great role in regenerating realistic motion and the similar human perception within physical limitations. Although it is the most popular MCAs, classic washout algorithm has some drawbacks, including distortion of the original signal, false cue motions, poor usage of the workspace and wrong human sensation. In order to overcome these problems and minimize human sensation error between the actual flight and simulator while exploiting the platform more efficiently within the motion constraints, this paper proposed a new method which adopt signal error compensators based on fuzzy logic online tuning. And the fuzzy tuning logic controller based on displacement, workspace limitation and the sensed specific force error. The proposed method also contains a non-linear scaling factor to adjust the amplitude of the input signal and uses partial range scaling of the tilt rate limiter to overcome the discontinuous movement. After simulating and analyzing, it shows the superiority of the proposed MCA as it decreases human sensation error to meet high fidelity and exploit platform workspace more efficiently within physical limitations to deliver realistic motion.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"211 0 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115032979","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

Fuzzy sliding mode tracking control of the quadrotor unmanned aerial vehicle with unknown disturbances 未知扰动四旋翼无人机的模糊滑模跟踪控制

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7828947

Yong Wang, Ning Wang, Xiaoling Liang, M. Er

引用次数: 7

A study of aircraft-defense missile cooperative active defense technology 防空导弹协同主动防御技术研究

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829083

Xiaoping Wang, Lutong Wang, Qin-ying Lin, Minghui Xia, Liangliang Chen

{"title":"A study of aircraft-defense missile cooperative active defense technology","authors":"Xiaoping Wang, Lutong Wang, Qin-ying Lin, Minghui Xia, Liangliang Chen","doi":"10.1109/CGNCC.2016.7829083","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829083","url":null,"abstract":"This paper introduced the implementation strategy of three points collinear active defense to realize aircraft active defense. Based on the kinetic characteristic of fighter, defending missile, offensive missile, a induce capture aircraft-defending missile synergy active defense method was put forward, which transform the complex air war confront problem between fighter and defending missile and offensive missile into a simple trajectory problem of fighter. A process performance index during the implementation process of active defense strategy was put forward and the different between process performance index and traditional performance index was analyzed. Because of the QPSO arithmetic is a off-line arithmetic, result in the whole process can't be able to be evaluate. So the method of RHC(receding horizon control) was used to maintain process performance index as the optimization index of every receding optimization window. Which solve the disadvantage of QPSO arithmetic and rise its real-time. Simulation was applied to prove the validity of active defense strategy and synergy method, and the effectiveness and accuracy of this arithmetic.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122639538","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

Linear parameter varying control of unmanned quadrotor helicopter with mass variation and battery drainage 考虑质量变化和电池排水的四旋翼无人直升机线性参数变控制

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Pub Date : 2016-08-01 DOI: 10.1109/CGNCC.2016.7829073

Zhixiang Liu, C. Yuan, Youmin Zhang

{"title":"Linear parameter varying control of unmanned quadrotor helicopter with mass variation and battery drainage","authors":"Zhixiang Liu, C. Yuan, Youmin Zhang","doi":"10.1109/CGNCC.2016.7829073","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829073","url":null,"abstract":"In this paper, a linear parameter varying (LPV) control technique is proposed for the control of unmanned quadrotor helicopter (UQH), compensating the adverse effects of system variations, such as mass changes due to payload grasping, carrying, and dropping as well as battery voltage variations caused by battery drainage. The magnitudes of these variations, in this study, are assumed to be obtainable from the estimation scheme or priori knowable. Based on the information of these system variations, a linear parameter dependent state-feedback controller in a convex polytopic LPV representation is devised so that the corresponding adverse effects can be counteracted. The system parameters that vary with time are then specified as the design parameters for LPV controller, while the ultimate control law can be obtained online employing the well-established linear matrix inequality (LMI) conditions. Finally, both simulation and experimental validations are conducted to demonstrate the performance of the proposed control method on an UQH undergoing the changes of payload mass and battery voltage.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122979680","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