The design of temperature and humidity Control System for Incubation based on data fusion and fuzzy decoupling

Author

Wei Long ; Fugui Li ; Liang Luo ; Xingyuan Zhang

Author_Institution

Sch. of Inf. Eng., Nanchang Univ., Nanchang, China

fYear

2015

fDate

2-5 Aug. 2015

Firstpage

386

Lastpage

391

Abstract

In this paper, a control strategy based on data fusion and fuzzy decoupling is proposed to solve the problems of low reliability of sensor and temperature & humidity coupling in the temperature and humidity Control System for Incubation. Adaptive weighted fusion algorithm for multi-sensor data was used to fuse multiple temperature, humidity data collected indoor incubation. And at the same time, the fuzzy decoupling control rule is used to compensate the starting and stopping time of the temperature and humidity adjusting equipment. The results show that the system has the characteristics of control and integration, high reliability and good stability.

Keywords

adaptive control; agriculture; compensation; fuzzy control; humidity control; sensor fusion; temperature control; adaptive weighted fusion algorithm; compensation; control strategy; data fusion; fuzzy decoupling control; humidity control system; incubation; multisensor data; temperature control system; Humidity; Humidity control; Niobium; Temperature control; Temperature distribution; Temperature measurement; Temperature sensors; Fuzzy decoupling; Incubation room; Multi-sensor data fusion; Temperature and humidity;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2015 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-7097-1

Type

conf

DOI

10.1109/ICMA.2015.7237516

Filename

7237516