基于ANFIS的糖厂PH中和过程建模  

ANFIS-Based Modeling of pH Neutralization Process in Sugar Mill

作　　者：温伟峰[1] 何小阳[1] 毛晓娟[1] 

机构地区：[1]广西大学电气工程学院,广西南宁530004

出　　处：《自动化技术与应用》2010年第2期12-14,34,共4页Techniques of Automation and Applications

摘　　要：针对糖厂pH中和过程具有强非线性,大滞后性,不确定性等特点,将模糊推理系统和神经网络相结合,介绍了一种自适应神经模糊推理系统(ANFIS),并建立了pH中和过程的模型。仿真结果表明,利用ANFIS所建立的模型能很好地逼近实际的非线性系统,并且辨识精度高,泛化能力强,为后续的优化控制研究奠定了基础。Aiming at the characteristics of strong nonlinear,large delay,indeterminacy in pH neutralization in sugar mill,this paper combines fuzzy inference system with neural network and introduces an adaptive neuro-fuzzy inference system and builds the model of pH neutralization process.The simulation results show that the model built based on ANFIS can simulate the actual nonlinear system very well with high accuracy and strong generalization ability.It lays a foundation for the optimal control of following research.

关 键 词：自适应神经模糊推理系统 PH中和过程 非线性系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]