Research on Intelligent Control of Ship Yaw Based on Real-time Feedback Reinforcement Learning Neural Network
This paper proposes an intelligent control method for ship yaw based on real-time feedback reinforcement learning neural network control.This method combines nonlinear modeling of neural networks with adaptive control technology of reinforcement learning to achieve precise control of rudder angle during ship navigation.And the PID control algorithm,model prediction control algorithm,and real-time feedback reinforcement learning neural network control algorithm are compared and analyzed.The simulation experiment results show that the latter is superior to the previous two methods in control effectiveness and stability,and could effectively improve the control accuracy and robustness of the rudder angle during ship navigation.
国家科技期刊平台
NSTL
万方数据
维普
