基于MPC和SADE的无人机三维实时路径规划

Qiang Wang, An Zhang, H. Sun
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引用次数: 5

摘要

提出了一种基于模型预测控制和自适应差分进化算法的无人机实时路径规划方法,首先利用模型预测控制建立了无人机三维路径规划模型,然后给出了基于偏角的无人机实时路径规划编码方法。将约束条件与自适应差分进化算法相结合,使路径更加合理,搜索效率更高。仿真分析表明,该路径规划方法是有效的,能够满足地形跟踪和威胁规避的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MPC and SADE for UAV real-time path planning in 3D environment
This paper proposed a method of real-time path planning for UAV based on model predictive control and self adaptive differential evolutionary algorithm First the model of three-dimensional path planning of UAV was built by model predictive control Then the encoding method based on deflection angle was given. The constraints were combined with the self adaptive differential evolutionary algorithm to make the path more rational and the searching more efficiently. The simulation analyses showed that the method of path planning is available and efficient, that could satisfy the requirements of terrain following and threat avoidance.
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