Abstract
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.
Highlights
Structure of modern marine power systems has become more complicated, especially the emergence of high-performance ship electric propulsion applications
Based on the aforementioned works, this paper develops an adaptive backstepping control with command-filtered compensation and fuzzy neural network technology for marine power systems
Command-filtered adaptive fuzzy neural network backstepping controller is designed for the chaotic motion of the marine power system
Summary
Structure of modern marine power systems has become more complicated, especially the emergence of high-performance ship electric propulsion applications. In control theory, backstepping is a technique developed in the 1990s for designing close-loop stabilizing control systems a special class of nonlinear dynamical systems [7]. These systems are built from subsystems that radiate out from an irreducible subsystem that can be stabilized using some other methods. Based on the aforementioned works, this paper develops an adaptive backstepping control with command-filtered compensation and fuzzy neural network technology for marine power systems. Model of two-machine parallel marine power system, command-filtered adaptive fuzzy neural network backstepping chaos controller is designed.
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