基于模糊神经网络PID的塑料薄膜厚度控制系统设计

针对当前塑料挤出行业薄膜厚度控制系统普遍存在的强非线性、大时滞、控制精度低的现状,设计了一种将模糊控制、神经网络与经典PID控制算法结合的塑料薄膜厚度智能控制系统,通过模糊控制与神经网络自学习算法相结合,实现了控制系统PID参数的在线自整定。实验证明:与传统厚度控制方式相比,该系统可以大大降低收敛时间,提高控制精度,将薄膜厚度误差控制在2μm以内。

Design of Plastic Film Thickness Control System Based on Fuzzy Neural Network PID

For the universal phenomenon that the plastic film thickness control system had the characteristic of strong nonlineari-ty, large time delay, low control precision, a plastic film thickness smart control system was designed combined with fuzzy control, neural network and classic PID control.Through combining fuzzy control with neural network, control parameters of PID were regulated on-line automatically.After field testing, comparing with traditional thickness control, using this system, convergence time is reduced greatly and the control precision is improved, the error of film thickness is reduced to 2μm.