中国电机工程学报2011，Vol.31Issue(27)：88-94,7.
变速风力发电机组的模糊-单神经元PID控制
Fuzzy Single-neuron PID Control of Variable-speed Wind Turbines
摘要
Abstract
The mathematical model of wind energy conversion system （WECS） was firstly analyzed and the conventional PID controller was designed. However, due to its widely operational range of rotor speed, the system exhibits high nonlinearity and time variant characteristics, which deteriorates the performance of wind turbines with traditional PID controller. Therefore, a single-neuron intelligent controller was adopted to improve the system performance. By analyzing the structure and operational principle of the single-neuron controller （SNC）, we noted that the output gain of SNC had a great effect upon the system dynamic and static performance. Consequently, a fuzzy controller was introduced to regulate the output gain of SNC online, which could further optimize the WECS. Finally, an experimental platform was established after computer simulation, both simulation and experimental results verify that the proposed fuzzy single-neuron controller （FSNC） has excellent adaptability and robustness and it can greatly improve the performance of WECS.关键词
风力发电/PID控制器/智能控制/单神经元PID控制器/模糊自整定Key words
wind power generation/PID controller/intelligent control/single-neuron PID controller/fuzzy self-correction分类
信息技术与安全科学引用本文复制引用
陈杰,陈冉,陈家伟,龚春英,陈志辉,严仰光..变速风力发电机组的模糊-单神经元PID控制[J].中国电机工程学报,2011,31(27):88-94,7.基金项目
国家重点基础研究发展计划项目（973计划)（2007CB210303). （）
