Research on High Precision Control of Maximum Power Point Tracking for Offshore Hydraulic Wind Turbine

Abstract

This research takes the fixed displacement pump-variable displacement motor hydraulic transmission system of offshore hydraulic wind turbine (HWT) as the research object, to solve the parameter uncertainly problem of maximum power point tracking (MPPT) control of HWT. The feedback linearization method is used to deal with the nonlinear state space model of the system. Aiming at the problem that the feedback linearization method needs an accurate mathematical model and the hydraulic transmission system of the HWT has the characteristics of parameter uncertainly, the RBF neural network adaptive control theory is used to deduce the control strategy. Taking the pump speed and power as the output respectively, the MPPT control strategy is realized. The theory proposed above is verified by Matlab/Simulink. The simulation results show that the control strategy with pump power as output is more smooth than that with speed as output, which is friendly to the grid. The simulation results under fluctuating wind speed show that the MPPT control strategy has good robustness. By comparing the simulation results, the control strategy proposed in this research solves the problem of parameter uncertainty, and does not cause the system out of control like only using feedback linearization.

Optimised yaw model for adaptive wind direction characteristic based on a data‐driven approach

“…There is a YS based on the joint probability 2 Yaw strategy (YS) and control process distribution function of wind speed and wind direction, which is suitable to multi-peak extreme values [7]. Other effective YS algorithms have also been developed [8,9].…”