基于神经网络的船舶航向自适应PID控制

Ship Course-keeping Adaptive PID Control Based on Neural Network

详细分析基于单神经元的自适应PID控制算法 ,并推导了为改进其应用上的不足 ,将自适应PSD控制器中递推计算增益K的方法应用到单神经元的自适应PID控制 ,构成具有自动调整增益K值的单神经元自适应PID控制器的学习算法。将控制算法应用到船舶航向控制系统 。

The arithmetic of adaptive PID controller based on single neuron is analyzed in detailed. In order to improve the arithmetic, a king of self correcting gain K adaptive PID control way is present by using recursion formula of gain K in adaptive PSD controller. This way is used in ship course keeping control system. The simulation results show that this way is effective.