PCR仪基于遗传算法的模糊神经网络的温度控制方法

The Fuzzy Neural Network Temperature Control in PCR Reactor

分析了在PCR反应仪的温度控制过程中,由于升降温速度快,精度要求高,被控对象具有非线性、不确定性等因素,常规PID控制方法很难满足实际的要求。采用了一种基于遗传算法的模糊神经网络的温度控制方法,利用遗传算法训练模糊神经网络模型。试验表明,这种控制方法较好地达到了控制的要求。

The paper discusses a new fuzzy neural network controller in PCR reactor. By tuning the three parameters KP , KI, KD on line, the new fuzzy neural network controller has better response rate and stability property than the general PID controller. The experiment indicates that the controller gets the idea result.