Title :
The neural network self-adaptive algorithm application on mechanism pitch-adjust system of wind turbine
Author :
Yao, Xing Jia ; Liu, Guang De ; Liu, Ying Ming ; Zhang, Chun Ming
Author_Institution :
Shenyang Univ. of Technol., Shenyang
Abstract :
With the requirements of the megawatt wind turbine controlling and operation stability, the new neural network PID controller based on the CMAC self-adaptive learning algorithm designed, and its self-study and self-regulating performances can fit the real-time control system control demands and smooth operation to reduce the gust strike on the wind turbine.
Keywords :
neural nets; real-time systems; three-term control; wind turbines; CMAC self-adaptive learning algorithm; PID controller; neural network; operation stability; pitch-adjust system; real-time control system; self-adaptive algorithm; wind turbine; Algorithm design and analysis; Blades; Control systems; Neural networks; Power generation; Stability; Wind energy; Wind energy generation; Wind speed; Wind turbines;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
