Robust BackStepping Control Based DRNN for Flight Simulator

Abstract:

Flight motion simulator is one kind of servo system with uncertainties and nonlinearities. To acquire higher frequency response and good robustness for the flight simulator, we present a Backstepping controller based on a Diagonal Recurrent Neural Network (DRNN) to work out this problem. For one thing, the design procedure of the robust Backstepping controller is described. Subsequently, the principle and the design steps of DRNN are analyzed and expatiated respectively. In the end, simulation results on the flight motion simulator show that robust backstepping control based on DRNN can compensate for external disturbances and enhance robustness of the system control performance. Therefore both robustness and high performance of the flight motion simulator are achieved.

• Periodical: Advanced Materials Research (Volumes 139-141)
• Pages: 1708-1713
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.139-141.1708
• Online since: October 2010
• Authors: Dong Kai Shen, Jing Jing Wang, Zheng Hua Liu
• Keywords: Backstepping Controller, DRNN, Flight Simulator, Robust Control

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