摘要
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
The method of fuzzy neural network used to linearize the nonlinear controlled objector is described in this paper.Fuzzy controller is designed based on the conclusion of the above analysis.The simulation results show that the performance of fuzzy controller is considerably better than that of PID controller,including the dyanmic performance of ship's turning,the ability of finding and tracing a track,the accuracy of keeping track,the ability of antijamming,and the robustness when the ship's parameters have been changed.
出处
《中国惯性技术学报》
EI
CSCD
2000年第4期67-71,共5页
Journal of Chinese Inertial Technology
