Analysis and design of gears control of horizontal axis wind turbine for seamless power generation

Abstract

Wind power is one of the sustainable and renewable energy resources. newlineTo increase power production to satisfy the present and future demand newlinewithout any support from non-renewable energy sources, seamless and newlineeffective power production is necessary. This can be achieved by newlineimplementing artificial intelligent control systems in required sections of newlinewind power generation such as yaw control and gearbox control. A detailed newlinestudy of wind characteristics is mandatory to control wind production. To newlineunderstand the wind characteristics, a few decadesof statistical raw data set is newlineprocessed and analyzed using simple software (Meteorosoft) and ANN newline(Artificial Neural Network) in this research work. Using this real-time data newlineset, the maximum and continuous power is generated using a fuzzy logic yaw newlinecontrol system and variable ratio gearbox with a dual-clutch transmission newlinesystem. newlineThe prototype of the fuzzy logic equipped yaw control system works newlinewith the potentiometer resistance difference to track the wind direction and newlinenacelle head position, followed by the prototype setup was validated using newlinereal-time datasets. The accuracy of the fuzzy yaw control in tracking the wind newlinedirection is ±1.5°. Theproposed model is simple, low cost, and accurate in newlinepositioning the nacelle head using the fuzzy logic yaw control system. newlineThe Dual Clutch Transmissions Variable Ratio Gearbox (DCT-VRG) newlinesystem in a horizontal axis wind turbine reduces the fluctuation in the newlinegenerated voltage and achieves the maximum power extracted from the wind. newline