Flight control system design and optimisation with a genetic algorithm

被引:16
|
作者
Fantinutto, R [1 ]
Guglieri, G [1 ]
Quagliotti, FB [1 ]
机构
[1] Politecn Torino, Dipartimento Ingn Aeronaut & Spaziale, Turin, Italy
关键词
aircraft dynamics; handling qualities; control system design; optimal design; genetic algorithm;
D O I
10.1016/j.ast.2004.09.003
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A design procedure for a flight control system is here presented. An optimisation process, based on a genetic algorithm, is used to meet the frequency domain handling qualifies requirements for the longitudinal plane. The parameters are implemented as fitness functions related to the expected magnitude of bandwidth and delay. The impact of the parametric shaping of the fitness functions on the search and optimisation process is also evaluated. The dynamic response of the augmented aircraft is obtained for a realistic simulation case, validated after comparison with reference test data. The bandwidth and the delay of the longitudinal short term attitude response are estimated before and after the inclusion of the flight control system in the simulation model, and the parameters are compared with the expected handling qualities levels. The feasibility of the design process is demonstrated and the overall performance of the generation process is analyzed. (C) 2004 Elsevier SAS. All rights reserved.
引用
收藏
页码:73 / 80
页数:8
相关论文
共 50 条
  • [41] Design Flight Control System for UAV Full Envelope Flight
    Lu Ke
    Liu Chun-Sheng
    Wang Zheng-Zhong
    Cheng Qi-You
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 487 - 490
  • [42] Optimal design of serial production control system based on fuzzy control and genetic algorithm
    School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
    不详
    Jisuanji Jicheng Zhizao Xitong, 2009, 11 (2096-2103): : 2096 - 2103
  • [43] Optimisation of controller parameters by genetic algorithm for an electromagnetic levitation system
    Bhaduri, Rupam
    Banerjee, Subrata
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2011, 5 (03) : 219 - 244
  • [44] A quantum inspired genetic algorithm for multimodal optimization of wind disturbance alleviation flight control system
    Qi BIAN
    Brett NENER
    Xinmin WANG
    Chinese Journal of Aeronautics, 2019, 32 (11) : 2480 - 2488
  • [45] A niche genetic algorithm based on reference model and its application in optimizing flight control system
    Li Guang-wen
    Zhang Wei-Guo
    Liu Xiao-Xiong
    Li Jian
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 5344 - 5347
  • [46] A quantum inspired genetic algorithm for multimodal optimization of wind disturbance alleviation flight control system
    Bian, Qi
    Nener, Brett
    Wang, Xinmin
    CHINESE JOURNAL OF AERONAUTICS, 2019, 32 (11) : 2480 - 2488
  • [47] A quantum inspired genetic algorithm for multimodal optimization of wind disturbance alleviation flight control system
    Qi BIAN
    Brett NENER
    Xinmin WANG
    Chinese Journal of Aeronautics , 2019, (11) : 2480 - 2488
  • [48] Flight Motion Controller Design using Genetic Algorithm for a Quadcopter
    Huu Khoa Tran
    Thanh Nam Nguyen
    MEASUREMENT & CONTROL, 2018, 51 (3-4): : 59 - 64
  • [49] Applications of genetic-taguchi algorithm in flight control designs
    Yang, CD
    Luo, CC
    Liu, SJ
    Chang, YH
    JOURNAL OF AEROSPACE ENGINEERING, 2005, 18 (04) : 232 - 241
  • [50] Design of fixed structure H2/H∞ flight control law by genetic algorithm and LMI
    School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
    不详
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2008, 29 (04): : 1031 - 1036