Research on Improved Variable Range Tentacle-Based Maneuver Guidance Strategy

Yichuan Zhu, Ling Li, Shaoqi He, Rui Mu, Haoyu Huang
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Abstract

For the reentry gliding process of high-speed aircraft, the aircraft can fly by adjusting the angle of bank and angle of attack. However, in addition to considering the reentry constraints, the avoidance of the no-fly zone should also be considered during the flight. For the no-fly zone undiscovered before launch, the high-speed aircraft needs to plan its trajectory online, which puts forward high requirements for the rapidity and real-time of its planning speed. This paper proposes a maneuver strategy with variable tentacle detection range, which tests the actual flight process through tentacle detection, selects the optimal tentacle command to meet the flight requirements, and reduces the number of tentacles through different tentacle detection strategies, Reducing the impact of the integration process on computational efficiency improves the speed of trajectory planning. Typical examples are used for simulation, and the deflection of aerodynamic data is simulated by Monte Carlo simulation. The results show that this method can effectively avoid the no-fly zone, and can satisfy all constraints in the gliding process. The computing time is 57.7% shorter than the traditional tentacle-based method.
改进的变距离触手机动制导策略研究
对于高速飞行器的再入滑翔过程,飞行器可以通过调整倾斜角和攻角来实现飞行。但是,在飞行过程中,除了考虑再入约束外,还应考虑对禁飞区的规避。对于起飞前未发现的禁飞区,高速飞行器需要在线规划其飞行轨迹,这对其规划速度的快速性和实时性提出了很高的要求。本文提出了一种可变触手探测距离的机动策略,通过触手探测对实际飞行过程进行测试,选择最优的触手指令满足飞行要求,并通过不同的触手探测策略减少触手数量,减少集成过程对计算效率的影响,提高轨迹规划速度。采用典型算例进行了仿真,并采用蒙特卡罗仿真方法对气动数据的偏转进行了仿真。结果表明,该方法能有效避开禁飞区,满足滑翔过程中的所有约束条件。计算时间比传统的基于触手的方法缩短了57.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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