Determining heating pipe temperature in greenhouse using proportional integral plus feedforward control and radial basic function neural-networks
Determining heating pipe temperature in greenhouse using proportional integral plus feedforward control and radial basic function neural-networks作者机构：Institude of Modern Agricultural Equipment and Automation Zhejiang University Department of Agriculture Electric Engineering Talimu Agriculture University
出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)
年 卷 期：2005年第6卷第4期
页 面：265-269页
核心收录：
学科分类：082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程]
基 金：Project (No. 2002C12021) supported by the Science and Technology Department of Zhejiang Province China
主 题：PI control Greenhouse Temperature Neural networks
摘 要：Proportional integral plus feedforward (PI+FF) control was proposed for identifying the pipe temperature in hot water heating greenhouse. To get satisfying control result, ten coefficients must be adjusted properly. The data for training and testing the radial basic function (RBF) neural-networks model of greenhouse were collected in a 1028 m2 multi-span glasshouse. Based on this model, a method of coefficients adjustment is described in this article.
维普期刊数据库
同方期刊数据库