基于BP网络的PID控制在滑油压力气动控制中的应用

Application of BP Neural Network PID Controller in Pneumatic Control of Lubricating Oil Pressure

根据实验室现场对控制的要求,提出了一种将常规PID控制与BP神经网络相结合的自适应PID控制器,该控制器运用神经网络和BP算法实现了对PID参数的在线调整。把该控制器应用于某航空发动机燃油泵调节器滑油压力控制中,实验结果表明,与传统数字PID控制器相比,该控制器具有更好的控制效果和更好的鲁棒性。

Based on the controlling requirement in laboratory, a adaptive PID controller is put forward by combining the general PID controller with BP neural network. It has realized the online update of PID parameters by using neural network and BP arithmetic. Applying it to controlling the lubricating oil pressure of some aero-engine fuel-pump adjustor, the experiment shows that the proposed controller can obtain better result and robustness than the traditional digital PID controller.