Neural Network Based Direct Adaptive for Fin Stabilizer System with Input Saturation
Weiwei Bai, Tieshan Li, Ronghui Li · Marine engineering frontiers · 2013
Based on the backstepping method and the neural networks (NNs) technique, an adaptive controller has been proposed for a class of nonlinear fin stabilizer system with input saturation in this paper. It not only overcomes the uncertainty in the fin stabilizer system, but also solves the problems of mismatch and controller singularity by use of this control strategy. Meanwhile, the effect of input saturation constrains has been considered in this control design. The stability analysis shows that the proposed method can guarantee the uniformly ultimate boundedness (UUB) of all signals in the closed-loop system. Finally, a simulation example was presented to illustrate the effectiveness of the proposed algorithm.