Adaptive Control of a Surface Ship at High Speed Using Neural Networks

Abstract:

An adaptive control synthesis method is considered, which forces a surface ship at high speed to track a desired path. The nonlinear characteristics of the hydrodynamic damping can never be neglected in high speed maneuvering situation. Since the hydrodynamic coefficients of the surface ship at high speed are very difficult to be accurately estimated as a prior, the unknown part of the tracking dynamics system is approximated by neural network. The stability analysis will be given by Lyapunov theorem. Numerical simulations illustrate the excellent tracking performance of the surface ship at high speed under the proposed control scheme.

• Periodical: Advanced Materials Research (Volume 571)
• Pages: 518-523
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.571.518
• Online since: September 2012
• Authors: Li Dong Guo, Li Xin Yang
• Keywords: Adaptive Control, Neural Network (NN), Surface Ship at High Speed

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