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| 基于BP神经网络的PID变桨距风电机组控制 | |
| 引用本文： | 邢作霞,郑琼林,姚兴佳,王发达.基于BP神经网络的PID变桨距风电机组控制[J].沈阳工业大学学报,2006,28(6):681-686. |
| 作者姓名： | 邢作霞 郑琼林 姚兴佳 王发达 |
| 作者单位： | 1. 沈阳工业大学,风能技术研究所,沈阳,110023;北京交通大学,电气工程学院,北京,100044 2. 北京交通大学,电气工程学院,北京,100044 3. 沈阳工业大学,风能技术研究所,沈阳,110023 |
| 基金项目： | 国家高技术研究发展计划(863计划);辽宁省教育厅攻关课题 |
| 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. |
| 关 键 词： | 变速恒频 风电机组 变距控制 神经网络 PID算法 |
| 文章编号： | 1000-1646(2006)06-0681-06 |
| 收稿时间： | 06 14 2006 12:00AM |
| 修稿时间： | 2006年6月14日 |
PID control in adjustable-pitch wind turbine system based on BP neural network |
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| XING Zuo-xia,ZHENG Qiong-lin,YAO Xing-jia,WANG Fa-da.PID control in adjustable-pitch wind turbine system based on BP neural network[J].Journal of Shenyang University of Technology,2006,28(6):681-686. | |
| Authors: | XING Zuo-xia ZHENG Qiong-lin YAO Xing-jia WANG Fa-da |
| Affiliation: | 1. Institute of Wind Energy, Shenyang University of Technology, Shenyang 110023, China; 2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China |
| Abstract: | 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. |
| Keywords: | variable speed constant frequency wind turbine adjustable-pith control artificial neural network PID |
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