Design of a new intelligent fuzzy control system of greenhouse temperature

Author

Pan, Haipeng ; Xing, Wei ; Xu, Sen ; Lin, Xiaoyong

Author_Institution

Dept. of Autom., Zhejiang Sci-Tech Univ., Hangzhou

fYear

2008

fDate

25-27 June 2008

Firstpage

8869

Lastpage

8872

Abstract

Since the characteristics of time-delay, nonlinear and uncertain model structure, and in order to control temperature in greenhouse better, a fuzzy neural network PID control is presented in this paper. The intelligent controller can adjust the parameters according to the variation of system characteristics even if the system model is unknown, and meet the requests of real-time control. The approach shows the characteristics of outstanding adaptability and self-study ability, satisfactory dynamic performance, and certain application values by simulation results.

Keywords

control system synthesis; delays; fuzzy control; fuzzy neural nets; greenhouses; intelligent control; neurocontrollers; nonlinear control systems; temperature control; three-term control; uncertain systems; fuzzy neural network PID control; greenhouse temperature; intelligent fuzzy control system; nonlinear model structure; temperature control; time-delay model structure; uncertain model structure; Design automation; Fuzzy control; Fuzzy neural networks; Intelligent control; Intelligent networks; Intelligent structures; Intelligent systems; Nonlinear control systems; Temperature control; Three-term control; fuzzy neural network; greenhouse temperature; self-turning PID; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594329

Filename

4594329