Robust BackStepping Control Based DRNN for Flight Simulator
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.
Liangchi Zhang, Chunliang Zhang and Tielin Shi
D. K. Shen et al., "Robust BackStepping Control Based DRNN for Flight Simulator", Advanced Materials Research, Vols. 139-141, pp. 1708-1713, 2010