@Article{cmes.2026.085152,
AUTHOR = {Min Huang, Cuichen Zhou, Yuming Wang},
TITLE = {An Optimal Decision-Making Algorithm for Adjusting Aircraft Attitude Angles in Complex Electromagnetic Environments},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/CMES/online/detail/27799},
ISSN = {1526-1506},
ABSTRACT = {With the complexity of the aviation equipment mission environment, aircraft are inevitably exposed to a high-intensity and stable complex electromagnetic radiation environment for a long time in some mission areas. It is difficult to effectively reduce electromagnetic risk by relying solely on compatible technologies such as electromagnetic shielding and flight path avoidance. Aiming at the problem that aircraft are vulnerable to electromagnetic interference in a harsh electromagnetic environment, this paper proposes an aircraft attitude angle optimization method based on an intelligent optimization algorithm under the framework of digital twin modeling, according to the characteristics that attitude angle has a significant impact on aircraft electromagnetic coupling characteristics. The method constructs a scene-level coupled interference data set based on the Feko simulation platform, uses the random forest algorithm to establish a fast prediction model between attitude angle and internal electric field strength of the body, integrates the particle swarm optimization algorithm and genetic algorithm, and proposes an improved attitude angle optimization algorithm based on the particle swarm optimization algorithm and genetic algorithm (AAO-PG). The efficient optimization of the aircraft attitude angle adjustment strategy in a harsh electromagnetic environment is realized. The simulation results show that the proposed AAO-PG algorithm can suppress the electromagnetic coupling interference inside the body stably in different electromagnetic environments, and its optimization effect and stability are better than the basic particle swarm optimization algorithm, which verifies the effectiveness and engineering application potential of the method in the aircraft attitude angle decision problem in complex electromagnetic environments.},
DOI = {10.32604/cmes.2026.085152}
}