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	1. Research on multi-UAV focused area cooperative search based on MTSP
	Xu Jianfeng,Zhuang Yufeng
	Aviation 17 March 2022
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	Abstract:This paper takes the multi-UAV area search problem as the background, addresses the multi-UAV collaborative search track planning task assignment problem in which the target location is known in the environment but the number of targets is large and the target location is randomly dispersed, combines the multi-traveler MTSP problem, establishes a multi-UAV focused collaborative search track planning task assignment model, and designs a GA algorithm based on the target location coding multi-crossing operator multivariable operator and an improved SA algorithm for multi-UAV collaborative focused search track planning, both algorithms have better solution effects, and the SA algorithm has better optimized solution effects than the GA algorithm.
	TO cite this article:Xu Jianfeng,Zhuang Yufeng. Research on multi-UAV focused area cooperative search based on MTSP[OL].[17 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4757044


	2. A Method of Autonomous Optical Navigation with Radio Beacon Auxiliary Information at the Approach Phase of Deep Space Exploration
	Zhu Shengying,Jing Yan
	Aviation 23 May 2016
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	Abstract:According to task requests of deep space exploration approach phase such as autonomy, real-time and so on, we do a research into the problem of autonomous navigation at this approach phase and put forward an autonomous navigation project which makes use of radio beacon and navigation camera to determine relative position and velocity of the spacecraft. The radio beacon can measure its distance to the spacecraft and the navigation camera can acquire the line-of-sight vector to the target. With kalman filter we can get the spacecraft's state information. The observability degree of the navigation system is increased by importing a new observation. In order to verify the performance of this autonomous navigation system, simulink tests based on the practical data of Deep Impact mission are carried on. The results show that the presented method can not only meet navigation requests of approach phase but also gain the navigation system observability degree
	TO cite this article:Zhu Shengying,Jing Yan. A Method of Autonomous Optical Navigation with Radio Beacon Auxiliary Information at the Approach Phase of Deep Space Exploration[OL].[23 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4692757


	3. Modeling and Simulation of Stochastic Optimal Control for Gliding Extended Range Rocket Projectile Attitude
	Bian Wei-wei,LI Yan,XIN Zhen-fang,CHANG Si-jiang
	Aviation 30 November 2015
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	Abstract:An optimal control method for nonlinear stochastic systems is proposed to overcome the influence of various disturbance factors and to improve the control effect. Considering the general control principle of rocket projectile flight process, a differential form of attitude dynamics model is established. Taking the attack angle and the yaw angle as observation variables and rudder angles as control variables, the state equations, the quadratic cost function and the control law are presented. The detailed expression of the adjoint function is put forward. The optimal filter is designed based on the Riccati equation. Control parameter is designed and simulation analysis is carried out by taking gliding starting control point as the feature point. The simulation results show that the attitude controller system responds quickly and has good control quality.
	TO cite this article:Bian Wei-wei,LI Yan,XIN Zhen-fang, et al. Modeling and Simulation of Stochastic Optimal Control for Gliding Extended Range Rocket Projectile Attitude[OL].[30 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4667119


	4. Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields based on DCERSM
	Guo Ruichen,Fei Chengwei,Bai Guangchen
	Aviation 20 November 2015
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	Abstract:Against the background of the probabilistic analysis for High Pressure Turbine (HPT) Blade-tip Radial Running Clearance (BRRC) to achieve the high-performance and high-reliability of aeroengine, Distributed Collaborative Extremum Response Surface Method (DCERSM) was proposed for the dynamic probabilistic analysis of complex turbomachinery on the foundation of quadratic polynomials response surface model. On the basis of deeply investigating Extremum Response Surface method (ERSM), the mathematical model of DCERSM was established based on quadratic polynomial function. As illustrated in BRRC transient probabilistic analysis with multiple components and multi-physics fields based on DCERSM, blade-tip radial static clearance δ=1.82 mm is advisable synthetically considering the reliability and working efficiency of gas turbine. The reliability, distribution characteristics and failure probability of BRRC are obtained. Besides, rotational speed ω and gas temperature T are the most important factors and expansivity coefficients and surface coefficients of heat transfer show also important influence on BRRC variation. Through the comparison of three methods (DCERSM, ERSM, Monte Carlo method), it is demonstrated that DCERSM reshapes the possibility of complex turbomachinery probabilistic analysis and improves computing efficiency while preserving the accuracy. DCERSM offers a useful insight for BRRC dynamic reliability design and optimization with multi-object and multi-discipline. The efforts of this study also enrich the theory and method of mechanical reliability design.
	TO cite this article:Guo Ruichen,Fei Chengwei,Bai Guangchen. Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields ba

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