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神经智能PID控制算法应用
引用本文:杜海树,杨智,邱熔胜,王君.神经智能PID控制算法应用[J].兰州理工大学学报,1999,25(3).
作者姓名:杜海树  杨智  邱熔胜  王君
作者单位:甘肃工业大学,电气工程与信息工程系,甘肃,兰州,730050
摘    要:提出将 P I D 继电自整定与神经元自适应 P I D 控制相结合,利用 P I D 继电自整定法获取神经元自适应 P I D 控制器权系数的初值,实现对一般工业对象(一阶惯性加纯滞后环节)的智能控制.仿真和实时控制结果表明,这种控制策略是对实现全自动型工程控制器的有益尝试.该智能控制算法切实可行,鲁棒性强.

关 键 词:继电整定法  神经元自适应控制  PID控制  智能控制器

Application of an algorithm of neural intelligent PID control
DU Hai-shu,YANG Zhi,QIU Rong-sheng,WANG Jun.Application of an algorithm of neural intelligent PID control[J].Journal of Lanzhou University of Technology,1999,25(3).
Authors:DU Hai-shu  YANG Zhi  QIU Rong-sheng  WANG Jun
Abstract:Combining two kinds of PID controls respectively with relayed automatic tuning and adaptive neurons and gaining the initial values of weighting coefficients for neural adaptive PID controller through PID relayed automatic tuning, intelligent control of general industrial objects first order with pure delay links) is realized. The results of simulation and real time control show that this control strategy is a useful attempt to realize a full automatic industrial controller. This intelligent control algorithm is feasible and features strong robustness.
Keywords:relayed tuning  adaptive neuron control  PID control  intelligent controller
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