摘要
结合传统PID控制原理、神经网络技术、模糊控制技术及预测控制技术,提出了一种新型控制器结构。给出了在线调整PID参数的方法。仿真结果表明,基于线性预测模型的神经网络模糊PID控制使系统具有较好的鲁棒性。
Combined with the traditional PID control theory,neural network,fuzzy control and prediction control technique, a new structure of controller was presented, the method was designed, which PID parameter can be adjusted online. The simulation results indicate that neural network-fuzzy PID control owns good robustness.
出处
《机电工程》
CAS
2007年第2期62-64,73,共4页
Journal of Mechanical & Electrical Engineering
关键词
模糊控制
神经网络
线性预测
比例积分微分
fuzzy control
neural network
linear prediction
proportional-integral-differential(PID)