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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Control Parameter Optimization for a Longitudinal Automatic Landing System via a Multi-objective Genetic Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jing, Zhongliang (editor) / Strelets, Dmitry (editor) / Chen, Cheng (author) / Ke, Jie (author) / Xu, Haonan (author) / Lu, Bei (author) / Li, Qifu (author)

    Conference:

    International Conference on Aerospace System Science and Engineering ; 2021 July 14, 2021 - July 16, 2021



    Publication date :

    2022-07-09


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Control Parameter Optimization for a Longitudinal Automatic Landing System via a Multi-objective Genetic Algorithm

    Chen, Cheng / Ke, Jie / Xu, Haonan et al. | British Library Conference Proceedings | 2023



    Multi-Objective Genetic Optimization for Helicopter Skid Landing Gears

    Airoldi, Alessandro / Lanzi, Luca | AIAA | 2005


    Parameter Optimization of Pantograph Structure Based on Multi-objective Genetic Algorithm

    Shibing, Liu / Yuzhuo, Gong / Yuxing | Springer Verlag | 2022


    Parameter Optimization of Pantograph Structure Based on Multi-objective Genetic Algorithm

    Shibing, Liu / Yuzhuo, Gong / Yuxing | British Library Conference Proceedings | 2022