农业工程学报2012，Vol.28Issue(4)：165-168,4.DOI:10.3969/j.issn.1002-6819.2012.04.027
基于神经网络的风力辅助提水系统自适应PID解耦控制
Adaptive PID decouple control strategy for wind power aided pumping water system based on neural network
摘要
Abstract
According to characteristics of wind turbine and water pump, a new scheme and its control strategy for wind power aided pumping water machine were proposed. The problems such as maximum power point tracking of wind energy and power balance between wind turbine and diesel engine need to be solved, so the system proposed is a coupling two input two output time-variable system. Based on the principle of decoupling and recurrent neural network, two Diagonal Recurrent Neural Network (DRNN) was adopted to adjust the parameters of two PID controllers online, and one nerve cell decouple compensator was adopted for decoupling the system, thus, non-model adaptive decouple PID control was implemented. Finally, the validity of the control strategy was proved via computer simulations, which can provide a foundation for further study.关键词
风力/泵站/耦合/PID解耦控制/回归神经网络(DRNN)Key words
wind power/ pumping plants/ coupling/ PID decouple control/ diagonal recurrent neural network(DRNN)分类
信息技术与安全科学引用本文复制引用
杜福银..基于神经网络的风力辅助提水系统自适应PID解耦控制[J].农业工程学报,2012,28(4):165-168,4.基金项目
西华大学重点科研基金项目(项目编号:Z1120227) （项目编号:Z1120227）
