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Proceedings Paper

A novel controller based on robust backstepping and neural network for flight motion simulator
Author(s): Zhenghua Liu; Yunjie Wu; Weihong Wang
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Paper Abstract

The flight motion simulator is one kind of servo system with uncertainties and disturbances. To obtain high performance and good robustness for the flight simulator, we present a robust compound controller base on Backstepping controller and BP neural network. Firstly, the design procedure of the robust Backstepping controller is described and correlative problems are proposed. Secondly, the principle and the design process of BP neural network are analyzed and expatiated respectively. Finally, simulation results on the flight simulator show that the BP neural network can compensate external disturbances including system input and output disturbance and the system performance can be improved. Therefore both robustness and high performance of the flight simulator are achieved. It is an applied technology for the control of servo system, such as the flight motion simulator.

Paper Details

Date Published: 13 October 2008
PDF: 7 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71282B (13 October 2008); doi: 10.1117/12.806868
Show Author Affiliations
Zhenghua Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Yunjie Wu, Beijing Univ. of Aeronautics and Astronautics (China)
Weihong Wang, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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