Articles

Nonlinear Flight Controller Design Using H Optimization and Hierarchy-structured Dynamic Inversion

Expand
  • Department of Automatic Control Engineering, The Second Artillery Engineering College, Xi'an 710025, China

Received date: 2010-12-08

  Revised date: 2011-01-06

  Online published: 2011-09-16

Abstract

A nonlinear flight controller design using H optimization and hierarchy-structured dynamic inversion(HSDI)is proposed for a winged missile with disturbance considered. The structure of HSDI is reduced to three layers according to their time-scales and variables are recategorized to simplify the HSDI controller design. Then, the HSDI controller and the nonlinear 6 degrees-of-freedom(DOF)dynamic model of the researched missile are used to compose the generalized plant. More-over, the state variables of plant are rearranged. And a 2 DOF H control structure is also introduced to enhance robustness performance. The analysis of close-loop system singular values and nonlinear 6 DOF flight simulation results presented in the paper demonstrate the good tracking performance and disturbance rejection of the designed flight controller.

Cite this article

CAO Lijia, ZHANG Shengxiu, LI Xiaofeng, LIU Yi'nan . Nonlinear Flight Controller Design Using H Optimization and Hierarchy-structured Dynamic Inversion[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011 , 32(9) : 1678 -1685 . DOI: CNKI:11-1929/V.20110330.1306.005

References

[1] Meyer G, Su R, Hunt L R. Application of nonlinear transformations to automatic flight control[J]. Automatica, 1984, 20(1): 103-107.

[2] Schumacher C, Khargonekar P P. Missile autopilot designs using H control with gain scheduling and dynamic inversion[J]. Journal of Guidance, Control, and Dynamics, 1998, 21(2): 234-243.

[3] Georgie J, Valasek J. Selection of longitudinal desired dynamic for dynamic inversion controlled re-entry vehicles. AIAA-2001-4382, 2001.

[4] Perhinschi M G, Napolitano M R, Campa G. A simulation environment for testing and research of neurally augmented fault tolerant control laws based on non-linear dynamic inversion. AIAA-2004-4913, 2004.

[5] 陈海兵, 张曙光, 方振平. 加速度反馈的隐式动态逆鲁棒非线性控制律设计[J]. 航空学报, 2009, 30(4): 597-603. Chen Haibing, Zhang Shuguang, Fang Zhenping. Implicit NDI robust nonlinear control design with acceleration feedback[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(4): 597-603. (in Chinese)

[6] Kawaguchi J, Miyazawa Y, Ninomiya T. Flight control law design with hierarchy-structured dynamic inversion approach. AIAA-2008-6959, 2008.

[7] Kawaguchi J, Miyazawa Y, Ninomiya T. Stochastic evalu-ation and optimization of the hierarchy-structured dynamic inversion flight control. AIAA-2009-6175, 2009.

[8] Zames G. Feedback and optimal sensitivity: model reference transformations, multiplicative seminorms, and approximate inverses[J]. IEEE Transactions on Automatic Control, 1981, 26(2): 301-320.

[9] Kung C. Nonlinear H robust control applied to F-16 aircraft with mass uncertainty using control surface inverse algorithm[J]. Journal of the Franklin Institute, 2008, 345(8): 851-876.

[10] Bufinton J M, Sparks A G, Banda S S. Robust longitudinal axis flight control for an aircraft with thrust vectoring[J]. Automatica, 1994, 30(10): 1527-1540.

[11] Lee H, Hwang H. Two-degree-of-freedom robust control of a seeker scan loop system. AIAA-1996-3911, 1996.

[12] Sadraey M H. Design of a nonlinear robust controller for a complete unmanned aerial vehicle mission. Kansas: University of Kansas, 2005.

[13] Stevens B L, Lewis F L. Aircraft control and simulation[M]. 2nd ed. New York: John Wiley & Sons, 2003.

[14] Das A. Nonlinear design of 3-axes autopilot for short range skid-to-turn surface-to-surface homing missiles. Kharagpur: Indian Institute of Technology, 2006.

[15] Reiner J, Balas G J, Garrard W L. Flight control design using robust dynamic inversion and time-scale separation[J]. Automatica, 1996, 32(11): 1493-1504.
Outlines

/