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

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.

Key words: incubation process, inverse system, fuzzy control, coupling degree

CLC Number:

TP299

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.

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