基于模糊神经网络PID在曝气池溶解氧控制系统中的应用

Application of fuzzy neural network PID in dissolved oxygen control system of aeration tank

对于造纸污水处理中的曝气池控制系统,由于溶解氧浓度控制存在着大滞后,非线性以及波动大,难以确定数学模型等问题,本研究提出了模糊神经网络PID控制溶解氧浓度。利用MATLAB对算法进行仿真,结果表明,该控制器鲁棒性好,超调量小,响应迅速。

There exist some problems for the aeration control system in effluent treatment, such as hysteresis of dissolved oxygen concentration control, non-linearity and large fluctuation, and difficulty to determine mathematical models. Fuzzy neural network PID control was put forward here to help control dissolved oxygen concentration, and MATLAB was applied to simulate the algorithm. The results show that the controller has good control effect, small overshoot and quick responses.