复杂温度系统的PID神经元网络控制研究

Study on PID Neural Networks for Complicated Temperature System

针对工业对象中普遍存在的大滞后、非线性、时变等复杂特性,本文结合PID与神经网络的特点,设计了PID神经元网络控制器,仿真结果表明,该控制器具有很高的灵活性与鲁棒性,能取得较好的控制效果。

The PID neural networks controller with PID and neural networks is designed in view of the complicated properties of large delay-time , nonlinear and time-variant in the industry. The simulation example shows that the PID neural networks controller is of high flexible and robust and good control effect.