摘要
将神经网络和PID控制相结合,提出了一种基于对角递归神经网络整定的PID控制策略,并将其应用于交流伺服系统的控制。利用对角递归神经网络在线自适应调整PID控制器的参数,从而使系统的静态和动态性能指标较为理想。实验结果表明,基于对角递归神经网络整定的PID控制的交流伺服系统具有响应速度快、稳态精度高和鲁棒性强等特点。
Diagonal recurrent neural network （DRNN） and PID control are integrated to control the AC servo system, and the control system is consisted of the neural network identifier and the neural network controller. DRNN is used to adjust the parameters of PID control on-line, accordingly it can make static and dynamic performance index comparatively ideal. The results of experiments show that AC servo system based on DRNN PID control has quick response speed, high steady accuracy and good robustness.
出处
《微计算机信息》
北大核心
2008年第13期117-118,143,共3页
Control & Automation
