摘要
针对变速变距型风力发电机组的液压驱动式变距执行机构,提出基于BP神经网络的PID变桨距控制方法,以解决变桨距机构的非线性、参数时变性、抗干扰、滞后性控制问题.分析了三种不同工况下的液压油路变化、数学模型和参数变化,阐述了BP神经网络的PID控制算法,并根据7.5 kW变速恒频试验机组液压变距机构设计数据进行仿真结果比较、分析.
In order to solve non-linear, parameter time changing, anti-disturb and time-lag problems, a PID control method based on the BP neural network has been presented and applied in the variable speed adjustable pitch wind turbine control system, in which the pitch exactor is driven by hydraulic unit. After analyzing the hydraulic oil path, transform function model and parameter changing at three kinds of operation conditions, the BP neural network PID control principles has been described. Moreover, the comparison and simulation results for the design data of 7.5 kW trial variable speed constant frequency wind turbine have been performed.
出处
《沈阳工业大学学报》
EI
CAS
2006年第6期681-686,共6页
Journal of Shenyang University of Technology
基金
国家863计划资助项目(2005AA512020)
辽宁省教育厅攻关课题(05L292)
关键词
变速恒频
风电机组
变距控制
神经网络
PID算法
variable speed constant frequency
wind turbine
adjustable-pith control
artificial neural network
PID
