Decoupling Control of Poultry Hatching Process Based on α-order Neural Network Inverse System

Authors

Guoxiong Zhou, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Junchao Li, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Aibin Chen, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;

Abstract

Abstract: The poultry hatching process is a complex biological process, in which coupling between temperature, humidity and oxygen concentration is serious, and conventional control methods can not guarantee the stability of three parameters. An α-order inverse system decoupling control method for poultry hatching process was proposed. The three factors were grouped by coupling degree analysis, using α-order neural network inverse system to control the two parameters whose coupling degree is stronger, another parameter would be controlled by fuzzy controller, thus ensuring the stability of the three parameters. The experimental results show the effectiveness of this method.

Recommended Citation

Zhou, Guoxiong; Li, Junchao; and Chen, Aibin (2020) "Decoupling Control of Poultry Hatching Process Based on α-order Neural Network Inverse System," Journal of System Simulation: Vol. 28: Iss. 7, Article 24.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/24

First Page

1661

Revised Date

2015-05-19

DOI Link

https://doi.org/

Last Page

1667

CLC

TP299

Recommended Citation

Zhou Guoxiong, Li Junchao, Chen Aibin. Decoupling Control of Poultry Hatching Process Based on α-order Neural Network Inverse System[J]. Journal of System Simulation, 2016, 28(7): 1661-1667.