纸浆漂白温度控制算法研究

Research on Arithmetic of Paper Bleaching Temperature Control

本文针对纸浆漂白温度控制的大时滞、大惯性、对象参数时变的特点,提出采用神经网络来建立漂白过程的预测模型,根据模型的输出来预测实际过程的变化趋势,从而提高系统的响应速度。回路中控制器采用模糊PID,以提高对象的适应能力。仿真结果表明,该算法对提高系统的响应速度和减少超调非常有效。

Paper bleaching process is a large inertial, large time-delay, time-varying process with much random disturbance, the prediction model based on NN has been put forward in this paper, the trend of the process can be predicted according to model output, it is helpful to enhance the speed of response. Adopting the fuzzy PID to improve the adjustability of system. The simulation result proves that the arithmetic is very effective to enhance the speed of response and reduce the overshot.