除盐水pH值自动控制系统开发

Development on Automatic Control System of Deionized Water's pH Value

随着电厂高参数大容量机组投产,对水汽品质提出更高的要求。为了使除盐水的pH值快速稳定在给定指标范围内,设计了基于RBF神经网络模糊PID智能控制系统。仿真结果表明,该控制系统比单一PID控制具有更强的鲁棒性,良好的自适应能力,适用于缺乏精确数学模型且时变、非线性、纯滞后工业过程。

As large-capacity power plant units with high parameters are putting into operation, more and more strict demands for the quality control of water and vapor are put forward. In order to make pH value quickly stabilized in a given target range, the intelligent control system based on RBF neural network fuzzy PID was designed. The simulation results showed that the method had stronger robustness, good self-adaptive capacity, which may be used in these industrial processes with lack of accurate mathematical models, time-varying, non-linearity and delay.