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基于混沌优化的再热汽温预测PID控制器参数优化
引用本文:明学星,王建国,吕震中,于向军. 基于混沌优化的再热汽温预测PID控制器参数优化[J]. 华东电力, 2007, 35(8): 82-86
作者姓名:明学星  王建国  吕震中  于向军
作者单位:东南大学,能源与环境学院,江苏,南京,210098;东南大学,能源与环境学院,江苏,南京,210098;东南大学,能源与环境学院,江苏,南京,210098;东南大学,能源与环境学院,江苏,南京,210098
摘    要:将预测控制和PID控制器结合运用于再热汽温系统的控制中.采用神经网络作为预测模型,并将混沌优化算法运用于该系统的PID参数在线优化.通过计算机仿真,验证了该算法的有效性.

关 键 词:预测控制  PID  混沌优化  神经网络  再热汽温
文章编号:1001-9529(2007)08-0082-05
修稿时间:2007-04-23

Chaos optimization-based parameter optimization of predictive PID controllers for reheated steam temperature
MING Xue-xing,WANG Jian-guo,LU Zhen-zhong,YU Xiang-jun. Chaos optimization-based parameter optimization of predictive PID controllers for reheated steam temperature[J]. East China Electric Power, 2007, 35(8): 82-86
Authors:MING Xue-xing  WANG Jian-guo  LU Zhen-zhong  YU Xiang-jun
Abstract:The predictive control and the PID controller were combined for controlling of the reheated steam temperature system.The neural network was adopted as the predictive model,and the chaos optimization algorithm was used for on-line optimization of the PID parameters of the system.Computer simulations prove the algorithm effective.
Keywords:predictive control  PID  chaos optimization  neural network  reheated steam temperature
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