@Article{cmc.2020.011858,
AUTHOR = {Huaixi Xing, Yu Zhao, Yuhui Zhang, You Chen},
TITLE = {3D Trajectory Planning of Positioning Error Correction Based on  PSO-A* Algorithm},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2295--2308},
URL = {http://www.techscience.com/cmc/v65n3/40170},
ISSN = {1546-2226},
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 
optimization algorithm. The optimal trajectory is found by the A* algorithm under the 
current evaluation index, so the ideal trajectory is planned. The experimental results show 
that the PSO-A* algorithm can quickly search for ideal trajectories in different environment 
models, indicating that the algorithm has certain feasibility and adaptability, and verifies 
the rationality of the proposed trajectory planning model. The PSO-A* algorithm has better
convergence accuracy than the A* algorithm, and the search efficiency is significantly 
better than the grid search A star (GS-A*) algorithm. The PSO-A* algorithm proposed in 
this paper has certain engineering application value. The researchers will study the realtime and systematic nature of the algorithm.},
DOI = {10.32604/cmc.2020.011858}
}