Huaixi Xing1, Yu Zhao1, Yuhui Zhang1, You Chen1, *
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2295-2308, 2020, DOI:10.32604/cmc.2020.011858
Abstract Aiming at the yaw problem caused by inertial navigation system errors
accumulation during the navigation of an intelligent aircraft, a three-dimensional trajectory
planning method based on the particle swarm optimization-A star (PSO-A*) algorithm is
designed. Firstly, an environment model for aircraft error correction is established, and the
trajectory is discretized to calculate the positioning error. Next, the positioning error is
corrected at many preset trajectory points. The shortest trajectory and the fewest correction
times are regarded as optimization goals to improve the heuristic function of A star (A*)
algorithm. Finally, the index weights are continuously optimized by the particle swarm… More >
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