农业工程学报2011，Vol.27Issue(2)：307-311,5.DOI:10.3969/j.issn.1002-6819.2011.02.053
温室温度控制系统的神经网络PID控制
Neural networks based on PID control for greenhouse temperature
屈毅 1宁铎 2赖展翅 1程琪 1穆丽宁1
作者信息
- 1. 咸阳职业技术学院电信系,咸阳,712000
- 2. 陕西科技大学电信学院,西安,710021
- 折叠
摘要
Abstract
A mathematical model of greenhouse temperature was established.Confronted with problem of greenhouse temperature control existed in conventional PID controller such as big inertia, big lag, bad adaptive ability and robustness, and other defects, a kind of intelligent PID controller based on RBF neural network with adaptive ability and self-leaning and self-organization was proposed to adjusted the parameters of PID controller.It identified the Jacohian matrix of feedback system by the RBF neural network and acquired on-line ttming the parameters of PID controller.The experimental results demonstrated that a high performance was achieve with little overshoot, steady-state precision and disturbance rejection ability.关键词
温室/神经网络/自适应/数学模型/温度控制Key words
greenhouse/ neural network/ adaptive/ mathematic model/ temperature control分类
信息技术与安全科学引用本文复制引用
屈毅,宁铎,赖展翅,程琪,穆丽宁..温室温度控制系统的神经网络PID控制[J].农业工程学报,2011,27(2):307-311,5.
