针对舰船航迹非线性被控对象中的非线性环节 ,本文着重介绍如何应用神经网络 ,对被控对象中的非线性环节进行模糊线性化 ,并应用模糊线性化的结论设计模糊控制器 ,实现舰船航迹控制。仿真结果表明 ,在此模糊控制器的控制下 ,船舶转向动态性能、寻找和跟踪航迹能力、保持航迹精度、抗干扰性能、以及船舶参数发生变化时的鲁棒性均明显优于 PID控制器 Aiming at the non-linear links in the non-linear controlled object of the ship track, this paper focuses on how to apply the neural network to the fuzzy linearization of the non-linear links in the controlled object and the fuzzy controller by the fuzzy linearization. Achieve ship track control. The simulation results show that under the control of this fuzzy controller, the steering performance of the ship, the ability to find and track the track, maintain the track accuracy, anti-jamming performance and the robustness of the ship parameters are obviously better than PID control Device