【摘要】 在化工、生物及废水处理工程中 ,大量存在着的 p H过程需要得到精确的控制。由于 p H过程是一个具有严重非线性及滞后性的被控对象 ,传统的 PID控制或非线性 PID控制难以达到理想的控制效果。这里给出了一种模糊神经网络控制器与传统 PI相结合的控制方法 ,即 p H过程的 FNNC- PI控制方案 ,该方案能很好地处理 p H过程的严重非线性和滞后性 ,而且具有较强的鲁棒性和抗干扰能力。更多还原

【Abstract】 In chemical engineering,bioengineering and waste-water treatment engineering,there are a large number of pH process that need to be precisely controlled.Because pH process is serious nonlinear and delay,it is difficult to have a ideal control effect for traditional PID control or nonlinear PID control.An approach that fuzzy neural networks controller combined with traditional PI control is proposed,it is the FNNC-PI control strategy.The strategy can deal with serious nonlinear and delay of pH process,and has stronger robustness and ability of disturbance rejection.更多还原