The Temperature and Humidity Control of Artificial Climate Chamber Based on Feed-Forward Compensation Decoupling

Min Yong Hu; Kang Ling Fang

doi:10.4028/www.scientific.net/AMR.816-817.343

Paper Titles

Laser Self-Compensated Measurement for Glass Thickness Process Control in High Temperature Environment
p.325

The Floating Suspension System in the Transonic Wind Tunnel for Full-Model Flutter Test
p.328

A Study on a Class of Double-Loop Networked Control System with Differential Sampling Rate and State Feedback
p.335

The Design of the Cable Parameters Acquisition and Control System Based on ZigBee Technology
p.339

The Temperature and Humidity Control of Artificial Climate Chamber Based on Feed-Forward Compensation Decoupling
p.343

Theoretical Model of Monitoring and Control Systemin Stage Hydraulic System
p.348

The Experimental Research on Piezoelectric Vibration Control for the Simplified Autobody Beam Structure
p.353

Nonlinear Decoupling Control of DFIG
p.358

Fuzzy Adaptive Sliding Mode Control Based on Fuzzy Compensation for Ammunition Auto-Loading Robot
p.363

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 816-817The Temperature and Humidity Control of Artificial...

The Temperature and Humidity Control of Artificial Climate Chamber Based on Feed-Forward Compensation Decoupling

Abstract:

Artificial climate chamber is a kind of experimental and scientific equipment that can simulate the natural environment. Temperature and humidity are the main control parameters. At present, at home and abroad , most of temperature and humidity control algorithms of the artificial climate chamber belong to single factor control, they all ignoring the coupling problem between temperature and humidity. This process cannot ensure the accuracy of the system, and it is easy to cause system oscillation. Thus, in this paper, we use an algorithm called the feed-forward decoupling to eliminate the coupling between the temperature and humidity through the way of feed-forward compensation, finally we design the temperature and humidity fuzzy controller respectively as the single factor control.

You might also be interested in these eBooks

Manufacturing Science and Technology (ICMST2013)

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 816-817)

Pages:

343-347

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.816-817.343

Citation:

Cite this paper

Online since:

September 2013

Authors:

Min Yong Hu, Kang Ling Fang

Keywords:

Artificial Climate Chamber, Decoupling Control, Fuzzy Control, Humidity Control, Temperature Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jianyong Ma. The Research on the Intelligent Artificial Climate Box Control System[J]. Automation and instrumentation. 2003, 17 (3): pp.40-42.

Google Scholar

[2] Yonggang Peng, Wei Wei. The Temperature and Humidity Fuzzy Control of Artificial Climate Box [J]. Journal of Agricultural Engineering. 2006, 22 (8): pp.166-168.

Google Scholar

[3] Ping Ma, Jinfang Yang, Changchun Cui. The Situation and Development of Decoupling Control[J]. Control Engineering. 2005, 12 (2) : pp.97-100.

Google Scholar

[4] Kangling Fang. The Process Control System[M]. Wuhan University of Technology Press [M]. 2002: pp.166-167.

Google Scholar

[5] Yonggang Peng, Wei Wei. Temperature and Humidity Fuzzy Control of The Artificial Climate Box Based on Neural Network Compensation[J]. Chinese Journal of Scientific Instrument. 2009, 30(7): pp.1373-1377.

Google Scholar

[6] Zhong Y, Yang J, Deng J. Multivariable fuzzy control of temperature and humidity in a greenhouse[J]. Journal of Agricultural Machinery, 2001, 32( 3): pp.75-78.

Google Scholar