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Reentry guidance based on parametric optimization (EI CONFERENCE) 会议论文
2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China
Li D.
收藏  |  浏览/下载:147/0  |  提交时间:2013/03/25
Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE) 会议论文
5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012, Tianjin, China
Wang X.; Yang L.; Wang L.; Xu J.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
Recent development of passive dynamic walking (EI CONFERENCE) 会议论文
2011 International Conference on Energy, Environment and Sustainable Development, ICEESD 2011, October 21, 2011 - October 23, 2011, Shanghai, China
Zhang P.; Song K.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Lightweight design and analysis of support structure of certain UAV engine (EI CONFERENCE) 会议论文
2012 International Conference on Electrical Insulating Materials and Electrical Engineering, EIMEE 2012, May 25, 2012 - May 27, 2012, Shenyang, Liaoning, China
Xing X.; Liu B.; Han X.; Jia H.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Support structure of UAV (Unmanned Aerial Vehicle) engine is the important support for UAV engine  playing a support role and bearing extremely complex load  so its lightweight  strength and dynamic characteristics have a great influence on high performance of UAV. This paper focuses on UAV having the requirement of high performance and stability to the support structure of engine  and uses the software of MSC.Patran and MSC.Nastran and topology optimization criterion to lightweight design and analysis the support structure of UAV engine under the premise condition of existing constraints. Then the static strength and modal are analyzed for the result of lightweight design  and the strength of the model and dynamic characteristics are verified. (2012) Trans Tech Publications  Switzerland.  
Trajectory tracking control for mobile robot based on the fuzzy sliding mode (EI CONFERENCE) 会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Xie M.-J.; Li L.-T.; Wang Z.-Q.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
Li D.-W.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space  which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning  all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space  then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.  
Structure optimization of strap-down inertial navigation system support (EI CONFERENCE) 会议论文
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Sun H.; Jia H.; Wang J.; Hao X.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
In order to meet the requirement of inertial navigation components and minimizing the system's weight  and topological optimization was conducted. Then  topological optimization and size optimization were conducted under conditions of random vibration and impact. Firstly  according to the dynamic characteristics of missile and requirement of inertial navigation system  the structure of inertial navigation support was designed according to types of missile connection and space arrangement of electronic components  the method of transforming multi-loading cases to multi-loading constraints was used to optimizing the size of the support under conditions of random vibration and impact. Comparing to the original support structures  RMS accelerations in installed points reduced by 25.2% under random vibration  the weight of optimal structures reduced by 28.1%  the structures also met the requirement of inertial navigation system under condition of impact. The support structure shows improvements in both dynamic characteristic and light weight comparing with the original one. 2011 IEEE.  
Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE) 会议论文
9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China
Li Y.; Sun Y.; Han C.; Wang X.; Xu S.
收藏  |  浏览/下载:10/0  |  提交时间:2013/03/25
Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes  and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems  which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.  


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