Research on intelligent controller of wind-power yaw based on modulation of artificial neuro-endocrine-immunity system

By introducing the regulation of nervous-endocrine-immune net into the research of wind-power yaw control system, and designing an artificial intelligent yaw controller based on the nervous-endocrine-immune regulatory mechanism of the organism. The controller received the environmental information by artificial immune system and to make the appropriate yaw control .We can get the feedback of control performance by artificial nervous and endocrine system. The adjustment can be inherited through genetic algorithm to ensure that the yaw system of self-learning and adaptive ability. Efficiency of the method was verified on a wind turbine mode using MATLAB. Compares with the fuzzy PID and the traditional PID, results show that the controller has more efficient in terms of the stability and robustness.