神经网络自适应算法在风力发电机机构调速器中的应用

2007 International Conference on Electrical Machines and Systems (ICEMS) Pub Date : 2007-12-26 DOI:10.1109/ICEMS12746.2007.4412248

Xing-jia Yao, Guang De Liu, Y. Liu, C. Zhang

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引用次数: 1

摘要

针对兆瓦级风力发电机组控制和运行稳定性的要求，设计了基于CMAC自适应学习算法的新型神经网络PID控制器，其自学习和自调节性能能够适应实时控制系统的控制需求和平稳运行，以减少阵风对风力发电机组的冲击。

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The neural network self-adaptive algorithm application on mechanism pitch-adjust system of wind turbine

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.

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2007 International Conference on Electrical Machines and Systems (ICEMS)

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