摘要
文章将模糊逻辑控制与神经网络结合使用,利用神经网络的自学习优势,采用误差反向传播算法,给出PI控制器的比例、积分参数,对模糊逻辑控制器的输出进行进一步调整.仿真结果表明,使系统具有更好的控制效果.
Fuzzy logic control was combined with neural network in this paper.The self-learning advantage of neural network is utilized,and the error reverse promulgation was adopted,and proportional and integral parameters of PI controller were given.Output of fuzzy logic controller was regulated more by the parameters,and the simulation result showed the system have better control effect.
出处
《海军航空工程学院学报》
2007年第6期622-624,共3页
Journal of Naval Aeronautical and Astronautical University
关键词
模糊控制
神经网络
飞控系统
fuzzy control
neural network
flying control system
