Abstract
Fluid power transmission for wind turbines is quietly gaining more interest. The aerodynamic torque of the rotor blades is converted into a pressurized fluid flow by means of a positive displacement pump. At the other end of the fluid power circuit, the pressurized flow is converted back to torque and speed by a hydraulic motor. The goal of this paper is to develop a general dynamic model of a fluid power transmission for wind turbines, in order to gain better insight on the dynamic behavior and to explore the influence of the main design parameters. A fluid power transmission is modeled for a wind turbine with 1MW rated power capacity. This mathematical model can be used for simulation of the process using AUTOMATION STUDIO 5.2. Further the model has been approximated as a transfer function model using system identification toolbox available in MATLAB software. Neural network based predictive control (NPC) is applied to the mid-sized hydrostatic wind turbine model for maximizing power capture. The effectiveness of NPC is compared with PI controller.
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