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无人机全包线模糊T-S建模

刘智 王勇

刘智, 王勇. 无人机全包线模糊T-S建模[J]. 北京航空航天大学学报, 2013, 39(9): 1181-1186.
引用本文: 刘智, 王勇. 无人机全包线模糊T-S建模[J]. 北京航空航天大学学报, 2013, 39(9): 1181-1186.
Liu Zhi, Wang Yong. Design of fuzzy T-S model of unmanned aerial vehicle in full envelope[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1181-1186. (in Chinese)
Citation: Liu Zhi, Wang Yong. Design of fuzzy T-S model of unmanned aerial vehicle in full envelope[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1181-1186. (in Chinese)

无人机全包线模糊T-S建模

详细信息
    作者简介:

    刘智(1986-),男,山东泰安人,博士生,liuzhi747@gmail.com.

  • 中图分类号: V249

Design of fuzzy T-S model of unmanned aerial vehicle in full envelope

  • 摘要: 针对无人机大包线一体化飞行控制要求,提出全包线模糊T-S(Takagi-Sugeno)建模方法.该方法根据非仿射系统的局部线性化原理,将模糊T-S建模转化为仅对模糊规则中隶属度函数的中心和宽度的优化过程,优化的代价函数为模糊T-S模型对无人机全包线稳定性和操纵性的逼近误差的加权值.基于敏感度逐步扩展前件变量的模糊集以实现全局优化,确定模糊规则的数量和隶属度函数的初值.采用对正则因子启发式调整的Levenberg-Marquardt算法进行快速的局部优化.算例表明,建模算法收敛迅速,所建立的模糊T-S模型采用少量模糊规则实现了对无人机全包线稳定性和操纵性的高精度逼近,适用于无人机全包线一体化控制.

     

  • [1] Adams R J,Buffington J M,Banda S S.Gain scheduled linear PID autopilot for the AIAA controls design challenge aircraft[C]//AIAA Guidance,Navigation and Control Conference and Exhibit.Hilton Head Island,South Carolina:AIAA,1992:1548-1558 [2] Marcos A,Bennani S.LPV modeling,analysis and design in space systems rationale objectives and limitations[C]//AIAA Guidance,Navigation and Control Conference and Exhibit.Chicago,Illinois:AIAA,2009:092407-1-23 [3] Feng Gang.A survey on analysis and design of model-based fuzzy control systems [J].IEEE Transactions on Fuzzy Systems,2006,14(5):676-697 [4] Gao Qing,Zeng Xiaojun,Feng Gang,et al.T-S fuzzy model based approximation and controller design for general nonlinear systems [J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2012,42(4):1143-1154 [5] Butler E J,Wang O H,Burken J J.Takagi-Sugeno fuzzy model based flight control and failure stabilization [J].Journal of Guidnace,Control,and Dynamics,2011,34(5):1543-1555 [6] Hu X,Wu L,Hu C,et al.Fuzzy guaranteed cost tracking control for a flexible air-breathing hypersonic vehicle [J].IET Control Theory and Applications,2012,6(9):1238-1249 [7] Li Chaoshun,Zhou Jianzhong,Xiang Xiuqiao,et al.T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm [J].Engineering Applications of Artificial Intelligence,2009,22(4/5):646-653 [8] Wu Shiqian,Er Meng Joo.Dynamic fuzzy neural networks-a novel approach to function approximation [J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2000, 30(2):358-364 [9] Simon Haykin.Neural networks and learning machines [M].3rd ed.Beijing:China Machine Press,2009:197-199 [10] 佟绍成,王涛,王艳平,等.模糊控制系统的设计及稳定性分析[M].北京:科学出版社,2004:45-49 Tong Shaocheng,Wang Tao,Wang Yangping,et al.Design and stability analysis of fuzzy control system [M].Beijing:Science Press,2004:45-49 (in Chinese) [11] Tanaka K,Wang O H.Fuzzy control systems design and analysis:a linear matrix inequality approach [M].New York:John Wiley and Sons Inc,2001:10-25
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出版历程
  • 收稿日期:  2012-11-22
  • 网络出版日期:  2013-09-30

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