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针对家禽孵化过程是一个复杂的生物过程,温度、湿度和氧气浓度之间耦合严重,常规的控制方法难以保证3个参数之间的稳定,提出一种基于α阶神经网络逆系统家禽孵化过程解耦控制方法。将3个参数进行耦合度分析分组,采用α阶神经网络逆系统控制耦合度较强的2个参数,另一个则通过模糊控制器控制,从而保证3个参数的稳定。实验结果表明了该方法的有效性。
The hatching process of poultry is a complex biological process, and the coupling between temperature, humidity and oxygen concentration is serious. It is difficult to guarantee the stability of the three parameters by the conventional control methods. A p-hatching neural network based inverse system poultry hatching process solution Coupling control method. The three parameters are grouped by coupling analysis. The α-order NN is used to control the two parameters with strong coupling and the other is controlled by the fuzzy controller so as to ensure the stability of the three parameters. The experimental results show the effectiveness of the method.