船舶襟翼舵神经网络控制伺服系统

Neural Network Control System for Ship Flap Rudder

为了解决船舶襟翼舵在复杂的、非线性、不确定的海域环境中的高精度位置控制问题,将神经网络应用在伺服系统中充当控制器与辨识器,通过设计的神经网络PID控制器,使船舶位置伺服控制系统具有高稳定性,及鲁棒性好的特点,且具有要求的动态和静态性能。针对无刷直流力矩电机做了神经网络PID控制系统仿真,并与PID控制做了比较。仿真结果表明了神经网络PID(NN-PID)优越的动态和静态性能。

To the high aceuracy position control issues of ship flap rudder in sea area environment with complexity, non-linearity and indeterminacy, the neural network in the servo system is used as controller raid identification tool. The designed neural network PID controller enables the ship position servo control to have high stability, great robustness, required dynamic tendency and static performance. Based on brushless DC torque motor, the neural network PID system simulation is carried on, and the comparison with the PID control is made. The results show the superior tendency and the static performance of necu-al network PID.