It is challenging for control design and parameter optimization of a civil aircraft automatic landing system due to the complex application environment and high tracking precision requirement. In this paper, a parameter optimization method based on the non-dominated sorting genetic algorithm II (NSGA-II) is proposed to reduce the workload of control gain tuning and improve the performance of the autoland system. To facilitate the eventual engineering application, the flying quality indices are explicitly considered when defining the objective function for optimization. The proposed method is applied to design a longitudinal automatic landing system. It greatly simplifies the design process, and simulation results also demonstrate the effectiveness of the method.
Control Parameter Optimization for a Longitudinal Automatic Landing System via a Multi-objective Genetic Algorithm
Lect. Notes Electrical Eng.
International Conference on Aerospace System Science and Engineering ; 2021 July 14, 2021 - July 16, 2021
Proceedings of the International Conference on Aerospace System Science and Engineering 2021 ; Chapter : 10 ; 119-133
2022-07-09
15 pages
Article/Chapter (Book)
Electronic Resource
English
Automatic landing system , Parameter optimization , Non-dominated sorting genetic algorithm II , Flying quality Engineering , Aerospace Technology and Astronautics , Communications Engineering, Networks , Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) , Control and Systems Theory
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