基于BP神经网络PID控制在船舶阀门遥控系统中的应用

Study on Ship Valve Remote Control System of BP Neural Networks PID Control

船舶阀门遥控系统是一个非线性、时变的控制系统。常规的PID控制由于局限性,不能较好地控制阀门开度,于是提出了BP神经网络PID控制方法来控制船舶阀门开度,增强阀门遥控系统的性能。本文在介绍了常规PID控制的基础上,通过对其重要参数采用神经网络PID调控,可以使系统获得更好的调节效果。

The ship valve remote control system is a nonlinear and time-varying control system.Due to the limitation of conventional PID control,the valve opening cannot be well controlled,so the BP neural network PID control method is proposed to control the valve opening of the ship and enhance the performance of the remote control system of the valve.In this paper,based on the conventional PID control,through the neural network PID control of its important parameters,the system can obtain better regulation effect.