基于神经元PID的风力发电机组独立变桨控制  

Independent variable propeller control of wind turbine based on neurons PID

作　　者：唐春林 郑宇[2] 

机构地区：[1]重庆公共运输职业学院,重庆400030 [2]西华大学电气信息学院,四川成都610039

出　　处：《人民长江》2012年第5期93-97,共5页Yangtze River

摘　　要：依据风力机空气动力学原理,设计了神经元PID控制器,实现了风力发电机组3个桨叶的独立变桨控制。通过神经元PID控制,计算出桨距角,并与Park变换得到的附加桨距角相加,作为独立桨距角的设定值。基于Fast软件平台,以2 MW变速变桨风力发电机组为验证对象,对提出的控制策略与传统的统一变桨距控制策略进行仿真比较。结果表明,相对于统一变桨距控制,所提出的方法能有效确保在额定转速下机组输出功率稳定,同时也能有效降低风力发电机组各零部件的疲劳载荷。According to the principle of aerodynamic of wind turbines, the neurons PID controller is designed and the independent variable propeller control of 3 blades is realized. Through neurons PID, the pitch angle is caculated, which is added to the additional pitch angle obtained by reverse Park transformation, to acheive the set value of independent pitch angle. Based on the software platform of Fast, the 2 MW - variable speed and pitch wind turbines are adopted for verification, and the proposed independent variable propeller controlling strategy and traditional unified variable propeller pitch controlling strategy are simulated and compared. The result shows that the proposed method can ensure the stable output power of the turbine under rated rotational speed, meanwhile, reduce the fatigue load of the parts of the wind turbines, comparing with the unified variable propeller pitch controlling strategy.

关 键 词：变速变桨 神经网络 独立变桨控制 桨叶根部载荷 Fast软件 

分 类 号：TM315[电气工程—电机]