Multi-objective evolutionary-fuzzy augmented flight control for an F16 aircraft

被引：12
|
作者：
Stewart, P. [1 ]
Gladwin, D. [2 ]
Parr, M. [2 ]
Stewart, J. [1 ]
机构：
[1] Lincoln Univ, Sch Engn, Lincoln LN6 7TS, England
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING | 2010年 / 224卷 / G3期
关键词：
flight simulation; multi-objective design; fuzzy control optimization genetic algorithms; DESIGN; OPTIMIZATION; ALGORITHMS; SIMULATION;
D O I：
10.1243/09544100JAERO610
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this article, the multi-objective design of a fuzzy logic augmented flight controller for a high performance fighter jet (the Lockheed-Martin F16) is described. A fuzzy logic controller is designed and its membership functions tuned by genetic algorithms in order to design a roll, pitch, and yaw flight controller with enhanced manoeuverability which still retains safety critical operation when combined with a standard inner-loop stabilizing controller. The controller is assessed in terms of pilot effort and thus reduction of pilot fatigue. The controller is incorporated into a six degree of freedom motion base real-time flight simulator, and flight tested by a qualified pilot instructor.
引用
收藏
页码：293 / 309
页数：17
相关论文
共 50 条
  • [41] Fuzzy multi-objective mission flight planning in unmanned aerial systems
    Wu, Paul
    Clothier, Reece
    Campbell, Duncan
    Walker, Rodney
    2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION MAKING, 2007, : 2 - +
  • [42] Multi-objective optimization of environmental control system and engine of aircraft
    Li H.-B.
    Dong X.-M.
    Li T.-T.
    Guo J.
    Yingyong Kexue Xuebao/Journal of Applied Sciences, 2011, 29 (04): : 435 - 440
  • [43] Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D
    Zhang, Mengxuan
    Jiao, Licheng
    Ma, Wenping
    Ma, Jingjing
    Gong, Maoguo
    APPLIED SOFT COMPUTING, 2016, 48 : 621 - 637
  • [44] A hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem
    Rachmawati, L
    Srinivasan, D
    HIS 2005: 5TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, PROCEEDINGS, 2005, : 55 - 60
  • [45] A multi-objective evolutionary algorithms with group fuzzy decision making method
    Qin, Yongfa
    Gong, Qingsong
    PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 132 - 137
  • [46] A Fuzzy Multi-objective Optimization Evolutionary Algorithm Incorporating Preference Information
    Shen, Xiaoning
    Li, Tao
    Zhang, Min
    2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 2, 2009, : 143 - 146
  • [47] Interpretability Issues in Evolutionary Multi-Objective Fuzzy Knowledge Base Systems
    Shukla, Praveen Kumar
    Tripathi, Surya Prakash
    PROCEEDINGS OF SEVENTH INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS (BIC-TA 2012), VOL 1, 2013, 201 : 473 - +
  • [48] A multi-objective evolutionary approach for nonlinear constrained optimization with fuzzy costs
    Jiménez, F
    Sánchez, G
    Cadenas, JM
    Gómez-Skarmeta, AF
    Verdegay, JL
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 5771 - 5776
  • [49] An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing
    Wu, Chu-ge
    Li, Wei
    Wang, Ling
    Zomaya, Albert Y.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 117 : 498 - 509
  • [50] Multi-objective evolutionary fuzzy clustering for high-dimensional problems
    Di Nuovo, Alessandro G.
    Palesi, Maurizio
    Catania, Vincenzo
    2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 1932 - 1937
12345