A Design of Active-Disturbance-Rejection Control of Loitering Unit

Article Preview

Abstract:

As the problem that loitering unit is vulnerable to stall because of air turbulence in the initial period of posture adjustment process, this paper is based on the classic flight control and the active-disturbance-rejection control principle, and uses the method of ADRC which based on RBF neural network. It designs the ADRC for the attitude adjustment of loitering unit in the initial period, and compares it with the classic flight control algorithm and the active-disturbance-rejection algorithm. Through the contrast of the control simulation for the three control algorithms we can obtain that, RBF ADRC is superior to ADRC control method and the classic flight control method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1533-1540

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dacheng Du. The autopilot research for loitering munitions [D]. Beijing Institute of Technology. 2011 (in Chinese).

Google Scholar

[2] Ronglin Pan. Automatic control system for Cruise Missile [M]. Beijing. Aerospace Press, 2007 (in Chinese).

Google Scholar

[3] Jingqing Han. ADRC technology. Beijing: National Defense Industry Press, 2008 (in Chinese).

Google Scholar

[4] A. Levant. Robust exact differentiation via sliding mode technique . Automatica. 1998, 34: 379-384.

DOI: 10.1016/s0005-1098(97)00209-4

Google Scholar

[5] Han Jingqing. From PID Technique to Auto Disturbance Rejection Technique, Control Engineering. 2002, 9 (3) : 13-18 (in Chinese).

Google Scholar

[6] Park, J, Sandberg, I. W. . Universal Approximation Using Radial Basis Function Networks. Neural Computation, 1991. 3(2): pp.246-257.

DOI: 10.1162/neco.1991.3.2.246

Google Scholar

[7] Lideng Pan. Advanced control, online optimization technology and their applications [M]. Beijing: Machinery Industry Press. 2009. 4: 249 (in Chinese).

Google Scholar