期刊文献+

Constrained cooperative control design for distributed morphing wing systems

Constrained cooperative control design for distributed morphing wing systems
下载PDF
导出
摘要 An efficient design method is proposed for the cooperative control problem of morphing wing systems with distributed structures and bounded control inputs. The multi-agent model of the distributed morphing wing system is established. The cooperative controllers with saturation constraints are presented. By introducing the concepts in consensus algorithms, the cooperative information links in the controllers are described by graphs, and the corresponding Laplacian matrix is defined. The design conditions of the cooperative controllers are proposed, in the form of linear matrix inequalities. For the case of undirected information links, the controller design conditions are simplified as algebraic inequalities, which highly reduce the computation cost. The designed controllers are implemented on a distributed morphing wing platform, and experiments are carried out. Simulation and experiment results show that the controllers can make all the actuating units in the morphing wing system cooperatively achieve the desired positions, which demonstrates the effectiveness of the proposed theory. An efficient design method is proposed for the cooperative control problem of morphing wing systems with distributed structures and bounded control inputs. The multi-agent model of the distributed morphing wing system is established. The cooperative controllers with saturation constraints are presented. By introducing the concepts in consensus algorithms, the cooperative information links in the controllers are described by graphs, and the corresponding Laplacian matrix is defined. The design conditions of the cooperative controllers are proposed, in the form of linear matrix inequalities. For the case of undirected information links, the controller design conditions are simplified as algebraic inequalities, which highly reduce the computation cost. The designed controllers are implemented on a distributed morphing wing platform, and experiments are carried out. Simulation and experiment results show that the controllers can make all the actuating units in the morphing wing system cooperatively achieve the desired positions, which demonstrates the effectiveness of the proposed theory.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第4期588-595,共8页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China (90605007 91016017)
关键词 morphing wing cooperative control saturation con-straints consensus algorithm. morphing wing, cooperative control, saturation con-straints, consensus algorithm.
  • 相关文献

参考文献3

二级参考文献55

  • 1杨士斌,徐敏.智能蒙皮飞行器的飞行控制研究[J].飞行力学,2007,25(1):39-42. 被引量:10
  • 2Rodriguez A R. Morphing aircraft technology survey[R].AIAA- 2007- 1258, 2007.
  • 3Akhilesh K J, Jayanth N K. Morphing aircraft concepts, classifications, and challenges[C]//Proceedings of SHE-Smart Structures and Materials 2004: Industrial and Commercial Applications of Smart Structures Technologies. Bellingham: SHE, 2004, 5388: 213-224.
  • 4Adam M W, Ephrahim G. Optimization of perching maneuvers through vehicle morphing[J]. Journal of Guidance, Control, and Dynamics, 2008, 31(4) : 815 -823.
  • 5David A N, Justin F, Daniel I. Development of a mor phing aircraft model for wind tunnel experimentation[R]. AIAA-2006-2141 , 2006.
  • 6Marmier P, Wereley N M. Morphing wings of a small scale UAV using inflatable actuators for sweep control [R]. AIAA- 2003-1802, 2003.
  • 7David L R, Raymond C M, Green L L. Flight control using distributed shape-change effector arrays[R]. AIAA- 2000-1560, 2000.
  • 8William W G. Development of a mission adaptive wing system for a tactical aircraft[R]. AIAA-1980-1886, 1980.
  • 9Fred A. Shape control of an adaptive wing for transonic drag reduction[C]// Proceedings of SPIE--Smart Struc tures and Materials 1995: Industrial and Commercial Applications of Smart Structures Technologies. Bellingham: SHE, 1995, 2447:45- 55.
  • 10James J J, Brian S, Terrence J, et al. Optimal actuator location within a morphiag wing scissor mechanism configuration[C]// Proceedings of SPIE-Smart Structures and Materials 2006: Modeling, Signal Processing, and Control. Bellingham: SHE, 2006, 6166: 616603-1 616603-12.

共引文献73

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部