摘要
针对PI控制和前馈控制系统调节恒功率存在的不足,分析了Takgai-Sugeno自适应神经模糊推理系统的原理,将神经网络训练的方法引入模糊控制,设计了基于T-S模型的模糊前馈控制器,并引入PI调节的风力发电恒功率控制,采用Matlab软件仿真验证。结果表明,加模糊前馈控制后提高了系统的动态响应,确保了功率的恒定输出。
Aiming at the drawbacks of constant power regulation with PI control and feed-forward control system,the principle of adaptive neuro-fuzzy inference system based Takgai-Sugeno is analyzed.The fuzzy feed-forward controller based on Takgai-Sugeno model is designed by applying the learning method of neural networks to fuzzy control.Constant power control for wind generation is presented by PI regulation system and simulated calculation is implemented by Matlab software.The results show that the method greatly ...
出处
《水电能源科学》
北大核心
2010年第6期-,共4页
Water Resources and Power
关键词
T-S模型
风力发电
恒功率控制
模糊前馈控制
变浆距
T-S model
wind power generation
constant power control
fuzzy feed-forward control
adjusting the pitch of blade