【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。更多还原

【Abstract】 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.更多还原