摘要
提出一种基于小波神经网络的控制方法,对蒸汽发生器水位进行控制仿真.该方法利用小波神经网络作为控制系统的辨识器和控制器来构成控制系统.小波神经网络辨识器能更准确逼近非线性对象,小波神经网络控制器能自适应产生最佳的控制规律.仿真结果表明,该方案具有响应快、超调量小、较强抑制干扰能力等良好性能.
A control method can hardly meet the requirement. The control system based on wavelet neural network is proposed. This system consisting of a wavelet neural network controller and a wavelet neural network identifier can identify nonlinear system dynamic characters more precisely, and can adapt to better control strategies. The simulation results show that this scheme is characterized by rapid response, small overshoots and strong anti-interfering power.
出处
《海军工程大学学报》
CAS
北大核心
2006年第6期102-105,共4页
Journal of Naval University of Engineering
关键词
小波神经网络
辨识
自适应
蒸汽发生器
水位控制
wavelet neural network
identification
adaptive
steam generator
water level control
