Study on Greenhouse System Modeling Based on Adaptive Fuzzy Predictive Control

Ze Fang Wang; Chen Liu

doi:10.4028/www.scientific.net/AMM.602-605.1237

Paper Titles

Technology Research Vehicle Braking Stability Control
p.1219

The Study and Analysis of Condensate System of Control Strategy Based on Automatic Startup and Shutdown Control System in Supercritical Unit
p.1223

Research and Analysis of Discrete PID Controller Parameters’ Optimization Based on Particle Swarm Optimization Algorithm
p.1228

Design of Intelligent Obstacle Avoidance Car Based on FPGA
p.1233

Study on Greenhouse System Modeling Based on Adaptive Fuzzy Predictive Control
p.1237

Development of an Automotive Electric Window Control System Based on CAN Bus
p.1240

Design of PID Temperature Control System Based on BP Neural Network
p.1244

1450mm Five-Stand Tandem Cold Mill Process Control System
p.1248

Bending Force Preset Model Based on Optimal Algorithm
p.1252

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Study on Greenhouse System Modeling Based on...

Study on Greenhouse System Modeling Based on Adaptive Fuzzy Predictive Control

Abstract:

In recent years, these governments are committed to intelligent greenhouse research, intelligent greenhouse system is a kind of resource conservation effective agricultural development technology, it is in the common greenhouse basis, combined with modern computer automatic control technology, intelligent sensing technology, artificial intelligence and expert system in high-tech field to develop, provide seasonal irrelevant for crop growth environment in a computer integrated control, to realize the various crops industrial production of high quality、 high efficient and low consumption^[1]. With computer as the core of greenhouse comprehensive environment control system , get rapid development in Europe and the United States and Japan, then entered the network intelligent stage.Study of domestic greenhouse control system started relatively late, to the 80's, have the microcomputer control of artificial climate chamber , such as the Chongqing research institute MCU control system of the artificial climate chamber, as well as Shanghai the plant research institute artificial climate chamber^[²^].

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1237-1239

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1237

Citation:

Cite this paper

Online since:

August 2014

Authors:

Ze Fang Wang*, Chen Liu

Keywords:

Adaptive, Fuzzy Control, Greenhouse

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] DengLujian, FengQiaoling, LiShujun etc. Research status and development direction of intelligent greenhouse environmental control[J]. Journal of Zhengzhou University of Light Industry, 2003, 18(4): 22-23.

Google Scholar

[2] YuChaogang. Study on greenhouse climate environment microcomputer control system and control method[D]. Zhejiang University, 2005, 05: 3-5.

Google Scholar

[3] Ferreira P.M., Faria E. A, Eruano A. Neural network models in greenhouse air temperature predition[J]. Neurocomputer, 2002, 43: 51-75.

Google Scholar

[4] Arbel. A, Barak. M, Shklar.A. Combination of forced ventilation and fogging systems fot cooling greenhouses[J]. Biosystems, 2003, 84: 45-55.

DOI: 10.1016/s1537-5110(02)00216-7

Google Scholar

[5] LiYingxia, DuShangfeng. Chinese greenhouse environment intelligent control algorithm [J]. Journal of Agricultural Engineering, 2004, 20(2)：267—272.

Google Scholar

[6] M. Karlsson. The MIND method: A decision support for optimization of industrial energy systems-Principles and case studies[J]. Applied Energy, 2011, 88(3): 577-589.

DOI: 10.1016/j.apenergy.2010.08.021

Google Scholar