Study And Application On Wind Power Yaw Control Algorithm Based On Bionic Adjustment Mechanism

Energy and environmental issues has become one of the major issues of most concerns for sustainable development of human society, the application of wind power was high-profiled with its green, clean and renewable advantages. How to maximize the wind power generation applications to improve the utilization of wind energy to ensure the wind turbine runs stable and reliable become one of the important subject of the scholars to research. The yaw system of wind turbine has been studied, combined the detection technology, automatic control technology and intelligent control technology to research the wind power yaw control system based on organism bionic regulation, the efficiency and stability of yaw system have been improved. This thesis consists of following main parts:1. According to the principle and system’s structure of wind power yaw system, combined with the aerodynamic theory of wind characteristics and wind turbine characteristics, research and analysis of wind power yaw control function and roles of constituent units, to build wind turbines constituent unit of the yaw system mathematical model, and then make the mathematical model of wind power yaw control system model2. The yaw control strategies have been researched and analyzed. To learn from intelligent control algorithms based on biological networks, a yaw control strategy based on bionic adjustment mechanism has been proposed to control the yaw control system of wind turbine. Environmental information has been accepted through the artificial immune unit, to make the appropriate yaw control; The control effect by artificial neural unit and artificial endocrine unit feedback, system parameters can be optimized by GA algorithm. So that improved the self-learning and adaptive capacity of the yaw control system.3. The technical and functional requirements of lOkw wind power yaw control system have been analyzed, combined with the characteristics of embedded system, and given the wind power yaw control system block diagram. To analyze the implementation of the component units and designed wind power yaw controller with its software control algorithm based on the ATmega128.