Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4594329
