A novel controller based on robust backstepping and neural network for flight motion simulator

Zhenghua Liu; Yunjie Wu; Weihong Wang

doi:10.1117/12.806868

13 October 2008 A novel controller based on robust backstepping and neural network for flight motion simulator

Zhenghua Liu, Yunjie Wu, Weihong Wang

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 71282B (2008) https://doi.org/10.1117/12.806868
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Zhenghua Liu, Yunjie Wu, and Weihong Wang "A novel controller based on robust backstepping and neural network for flight motion simulator", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71282B (13 October 2008); https://doi.org/10.1117/12.806868

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available