基于粒子群的高超声速飞行器闭环制导研究

对于高超声速飞行器的研究来说,凭借其超高的飞行速度和飞行高度,能够在短时间内飞行更远的距离。为了达到作战要求,需要规划整个飞行轨迹,而最为重要的便是上升段的制导问题。本文以X-33高超声速飞行器模型为研究对象,提出基于粒子群算法的闭环制导策略,实时修正飞行轨迹,使飞行器最终准确到达目标位置；并对该方法的可靠性进行了仿真验证。仿真结果表明,基于粒子群算法的闭环制导策略优化精度高,物理概念明确,能满足高超声速飞行器上升段的闭环制导需求。

The Research of Closed-loop Guidance for Hypersonic Vehicles Based on Particle Swarm

In the process of research for hypersonic vehicle, the great long distance can be reached within short times due to its high flight speed and altitude. We need project the whole flight path in order to meet the operation plan. The most important part is the guidance problem of ascent stage. This thesis takes X-33 aircraft model as the research object, and put forward the ascent closed-loop guidance of hypersonic vehicle based on particles swarm methods. It can correct the flight path in real time and lead the vehicle to the target location. Then simulate the reliability of this method. The result indicated that this closed-loop guidance method based on particle swarm has better accuracy, and the physical conception is specific. This method can satisfy the demand of closed-loop for the ascent of hypersonic vehicle.