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针对嫦娥四号中继卫星动量轮频繁喷气卸载对其使命轨道Halo轨道的扰动问题,定性分析了卫星角动量累积规律和动量轮卸载对使命轨道构型的影响,给出了动量轮卸载前后角动量变化量与喷气卸载等效速度增量的关系,在角动量卸载预测的基础上,提出了一种使命轨道维持与动量轮卸载联合控制方法,通过偏置维持控制目标抵消控后动量轮卸载影响,达到延长轨道维持控制周期和节省推进剂的目的,给出了控制目标偏置量的求解方法。工程应用结果验证了方法的有效性。 相似文献
104.
Collision free 4D path planning for multiple UAVs based on spatial refined voting mechanism and PSO approach 总被引:2,自引:0,他引:2
In this paper, a four-dimensional coordinated path planning algorithm for multiple UAVs is proposed, in which time variable is taken into account for each UAV as well as collision free and obstacle avoidance. A Spatial Refined Voting Mechanism(SRVM) is designed for standard Particle Swarm Optimization(PSO) to overcome the defects of local optimal and slow convergence.For each generation candidate particle positions are recorded and an adaptive cube is formed with own adaptive side length to indicate occupied regions. Then space voting begins and is sorted based on voting results, whose centers with bigger voting counts are seen as sub-optimal positions. The average of all particles of corresponding dimensions are calculated as the refined solutions. A time coordination method is developed by generating specified candidate paths for every UAV, making them arrive the same destination with the same time consumption. A spatial-temporal collision avoidance technique is introduced to make collision free. Distance to destination is constructed to improve the searching accuracy and velocity of particles. In addition, the objective function is redesigned by considering the obstacle and threat avoidance, Estimated Time of Arrival(ETA), separation maintenance and UAV self-constraints. Experimental results prove the effectiveness and efficiency of the algorithm. 相似文献
105.
TF/TA^2飞行控制系统设计—问题和方法 总被引:6,自引:1,他引:5
综合TF/TA^2飞行控制系统的研究目的就是开发一种飞行控制技术,使飞机可以进行超低空机动飞行,有效地回避山峰,建筑物以及各种威胁,提高飞机的飞行安全和任务生存能力。本文介绍了综合地形跟随/地形回避/威胁回避飞行控制系统的系统框架和主要功能模块讨论在本文2设计过程中遇到的主要理论和技术问题,并阐述了了解决问题的思路和方法。 相似文献
106.
对无人机避开障碍物这一热点问题展开了研究。在极坐标系下,基于无人机与障碍物之间的几何关系,建立了无人机与障碍物之间的运动学方程。通过设计滑模变结构有限时间收敛制导律,使连接无人机与避障点的视线角速率快速收敛到零,相对速度方向收敛到期望的避障方向,保证了无人机能够顺利避开运动障碍物。通过有限时间收敛分析,得到了相对速度收敛到期望的避障方向时间与制导律参数的表达式。通过选择合适的参数,可使收敛时间小于到达避障点的时间,保证了避障的完成,也确定了制导律参数的取值范围。最后对设计的避障算法进行了仿真,仿真结果验证了算法的有效性。 相似文献
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In this paper, a novel real-time obstacle avoidance method based on Dynamic System(DS), is proposed. The proposed method ensures the impenetrability of multiple convex obstacles by online modulating the original velocity field of the DS. It can be applied to perform obstacle avoidance in the state space of the DS with both autonomous and non-autonomous DS-based controllers. While realizing the obstacle avoidance, the equilibrium points of the original DS can be saved. The modulation matrix form ... 相似文献
108.
Zheyao Xu Yukun Chen Zhexuan Xu 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(10):3223-3234
The guidance and control strategy for spacecraft rendezvous and docking are of vital importance, especially for a chaser spacecraft docking with a rotating target spacecraft. Approach guidance for docking maneuver in planar is studied in this paper. Approach maneuver includes two processes: optimal energy approach and the following flying-around approach. Flying-around approach method is presented to maintain a fixed relative distance and attitude for chaser spacecraft docking with target spacecraft. Due to the disadvantage of energy consumption and initial velocity condition, optimal energy guidance is presented and can be used for providing an initial state of flying-around approach process. The analytical expression of optimal energy guidance is obtained based on the Pontryagin minimum principle which can be used in real time. A couple of solar panels on the target spacecraft are considered as obstacles during proximity maneuvers, so secure docking region is discussed. A two-phase optimal guidance method is adopted for collision avoidance with solar panels. Simulation demonstrates that the closed-loop optimal energy guidance satisfies the ending docking constraints, avoids collision with time-varying rotating target, and provides the initial velocity conditions of flying-around approach maneuver. Flying-around approach maneuver can maintain fixed relative position and attitude for docking. 相似文献
109.
Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance
《中国航空学报》2019,32(12):2679-2693
This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods, the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design, the controllers can be used to track different time-varying target formation patterns. Besides, multi-layer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results. 相似文献
110.
Jianqiao Zhang Dong Ye James D. Biggs Zhaowei Sun 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(3):1161-1175
This paper addresses the relative position tracking and attitude synchronization control problem for spacecraft formation flying (SFF). Based on the derived relative coupled six-degree-of-freedom dynamics, a robust adaptive finite-time fast terminal sliding mode controller is proposed to achieve the desired formation in the presence of model uncertainties and external disturbances. It is shown that the designed controller is effective for changing information exchange topology making it robust to node failure. Then, the artificial potential function method is employed to generate collision avoidance schemes to modify the controller such that inter-agent collision avoidance can be ensured during the formation maneuver, which is critical for practical missions. The stability of the overall closed-loop system is proved by using Lyapunov theory. Finally, numerical examples for a given SFF scenario are presented to illustrate the performance of the controller. 相似文献