In order to retrain chaotic oscillation of marine power systems which are excited byperiodic electromagnetism perturbation, two novel model free command-filtered backstepping controlmethods are designed in this paper. Firstly, the dynamic model of marine power system based on thetwo parallel nonlinear models is established. Secondly, extended state observer (ESO) and adaptiveneural network observer (NNO) are designed to estimate the velocity signal and the unknown dynamicmodel. Moreover, the uniform form of ESO and NNO is given. Next, the model free command-filteredbackstepping controller is put forward based on the uniform observer form. Finally, the simulationresults indicate that the two proposed control algorithms can quickly retrain chaotic oscillation andtheir effectiveness and potential are amply demonstrated.
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