Sensorless adaptive neural control strategy for tidal power generation system
In harsh marine environments,key issues such as nonlinearity,external disturbance,and sensor failures pose challenges for the accurate operation of tidal generating units at the maximum power point.In order to improve the energy conversion efficiency and reliability of the tidal power generation system,an adaptive neural control(ANC)scheme based on model reference adaptive system(MRAS)was proposed.Considering the effect of turbulent flow and swell disturbances on rotor speed tracking of tidal power generation devices,the input of the ANC controller was preprocessed by the MRAS sensorless method,to obtain the accurate rotor speed information of tidal power generation units.Meanwhile,a self-adjusting sensitivity coefficient was introduced in the design of the adaptive mechanism of the neural speed controller so as to improve the dynamic tracking response and anti-interference ability of the system.Simulation studies show that the proposed control strategy can improve the power capture efficiency of the tidal power generation system with fine adaptability and reliability.
tidal power generation systemadaptive neural control(ANC)sensorless controlpower capture efficiency
万方数据
维普
