Command Filtered Adaptive Fuzzy Neural Network Backstepping Control for Marine Power System | Zendy

Xin Zhang | Zendy; Longhua Mu | Zendy

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Command Filtered Adaptive Fuzzy Neural Network Backstepping Control for Marine Power System

Author(s) -

Xin Zhang,

Longhua Mu

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/461431

Subject(s) - backstepping , control theory (sociology) , lyapunov stability , chaotic , artificial neural network , controller (irrigation) , electric power system , nonlinear system , fuzzy logic , adaptive control , lyapunov function , equilibrium point , computer science , mathematics , power (physics) , physics , control (management) , artificial intelligence , quantum mechanics , agronomy , biology

In order to retrain chaotic oscillation of marine power system which is excited by periodic electromagnetism perturbation, a novel command-filtered adaptive fuzzy neural network backstepping control method is designed. First, the mathematical model of marine power system is established based on the two parallel nonlinear model. Then, main results of command-filtered adaptive fuzzy neural network backstepping control law are given. And the Lyapunov stability theory is applied to prove that the system can remain closed-loop asymptotically stable with this controller. Finally, simulation results indicate that the designed controller can suppress chaotic oscillation with fast convergence speed that makes the system return to the equilibrium point quickly; meanwhile, the parameter which induces chaotic oscillation can also be discriminated

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