Research on Path Planning System of UAV Remote Sensing under Second-Degree Flight Control Computer
Chuang Deng, Haitao Cheng, Guozhu Yang, Maojie Tian, Enhui Wei, Zezhao Wang, Chao Gao, Shirui Sun · 2024
This article discusses the overall structure and specific implementation of the second-degree flight control computer in more detail. The digital signal processor with TMS320F2812 as the core is introduced. This greatly improves the reliability of the control system. The Tasmanian Devil algorithm (TDO) and weight algorithm are used to further reduce the problem that the algorithm is prone to local minima. The new optimization algorithm "threshold" is introduced, which enables the algorithm to take into account both global optimization and local optimization. Then an optimization method based on genetic algorithm is proposed. It was optimized using various algorithms such as particle swarm algorithm, artificial fish swarm algorithm and ant colony algorithm. Calculation examples prove that the algorithm proposed in this article converges quickly and has high accuracy. This method cannot only prevent falling into local minima, but also effectively improve the search effect. The improved Tasmanian devil method can accelerate the convergence and obtain high precision when solving the 3D optimal route.