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基于神经网络预测控制的单元机组协调控制策略
引用本文:张建华,董菲,侯国莲,袁桂丽.基于神经网络预测控制的单元机组协调控制策略[J].动力工程,2006,26(3):392-395.
作者姓名:张建华  董菲  侯国莲  袁桂丽
作者单位:华北电力大学,自动化系,北京,102206
基金项目:电力工业部电力行业青年科技促进基金;教育部留学回国人员科研启动基金
摘    要:利用BP神经网络的非线性映射能力对单元机组协调控制系统被控对象进行辨识,从而建立其动态模型;在这一模型的基础上对协调控制系统中的控制器参数优化进行研究,提出基于神经网络预测控制的协调控制策略.该方法很好地解决了协调控制系统中强耦合、非线性等问题.仿真实验表明该系统的跟踪速度加快、调节精度提高、并且具有较好的抗干扰性.图6参7

关 键 词:自动控制技术  协调控制  神经网络  预测控制
文章编号:1000-6761(2006)03-392-04
收稿时间:2005-07-12
修稿时间:2005-07-12

Coordinated Control Strategy of Block Units Based on Neural Network Predictive Control
ZHANG Jian-hua,DONG Fei,HOU Guo-lian,YUAN Gui-li.Coordinated Control Strategy of Block Units Based on Neural Network Predictive Control[J].Power Engineering,2006,26(3):392-395.
Authors:ZHANG Jian-hua  DONG Fei  HOU Guo-lian  YUAN Gui-li
Affiliation:Department of Automation, North China University of Electric Power, Beijing 102206, China
Abstract:Utilizing the nonlinear mapping capability of BP neural networks, the pertaining object of control in the coordinated control system is being identified, and consequently its dynamic model established, on the basis of which optimization of the parameters of the controller in the coordinated control system is being studied and a coordinated control strategy based on predictive control with neural network proposed. In this way problems of profound coupling and nonlinearity, existing in coordinated control systems, can quite well be solved. Simulation tests indicate that such a system is featured by higher tracking speed, improved precision of adjustment and strengthened resistance capability against disturbances. Figs 6 and refs 7.
Keywords:automation technique  coordinated control  neural network  predictive control
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