基于DSP的pH过程FNNC-PI控制器研究  

Study of FNNC-PI Controller of pH Process Based on DSP

作　　者：薛薇[1] 李力[1] 

机构地区：[1]天津科技大学,天津300222

出　　处：《化工自动化及仪表》2005年第1期58-61,共4页Control and Instruments in Chemical Industry

基　　金：天津市高等学校科技发展基金资助项目(20030514)

摘　　要：提出一种模糊神经网络控制与传统PI相结合的控制方法,即pH过程的FNNC PI控制方案,将模糊控制具有的较强逻辑推理功能、神经网络的自学习能力以及传统PI控制的优点融为一体,能很好地处理pH过程的非线性和滞后性,具有较强的鲁棒性和抗干扰能力。为了满足控制运算实时性的要求,采用TMS320VC33高速数字信号处理器(DSP)作为控制与运算单元,成功地完成了模糊神经网络控制器的DSP实现。An approach that fuzzy neural network controller combined with traditional PI control, the FNNC-PI control strategy, is proposed. The strategy which integrates the logic function of fuzzy control, self-learning function of neural network and the advantages of traditional PID control can deal with serious nonlinear and delay of pH process, and has stronger robustness and ability of anti-interference. To meet the needs of the real-time calculation in the control process, the TMS320VC33 high speed digital signal processing (DSP) is adopted as the control and process unit, and the fuzzy neural network controller is successfully accomplished based on DSP.

关 键 词：PH过程 非线性 模糊神经网络 数字信号处理 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]