基于神经网络的船舶舵机控制系统设计

Design of ship steering gear control system based on neural network

传统船舶舵机控制系统只适于控制对象是线性系统且时延和阶数等已知的情况,但在实际应用中,船舶舵机控制过程受船舶运行情况和航行环境的影响,属于随机过程。为此,设计一种新的基于神经网络的船舶舵机控制系统,依据功能要求设计船舶舵机的不同控制模型,再设计整体控制系统结构。通过设计4个不同层次的控制器结构,实现神经网络控制器的整体设计,利用神经网络算法对控制器中的参数进行学习和调整,神经网络控制器输出结果即为船舶舵机控制结果。实验结果表明,所设计系统控制效果好,不易受外界环境的干扰。

Servo control system of traditional ship control object is only suitable for linear systems and delay and order and known, but in practical application, the ship steering control process is influenced by the ship operation and navigation environment, which belongs to the random process. For this reason, a new control system of ship steering gear based on neural network is designed, and the different control models are designed according to the functional requirements. Through the design of 4 different levels of the structure of the controller, to achieve the overall design of neural network controller, learning and adjustment of the parameters in the controller using neural network algorithm, neural network controller output is the result of ship steering control. The experimental results show that the designed system has good control effect and is not easy to be interfered by external environment.