基于PSO-BP-PID污水pH控制研究

Research on pH control for sewage based on PSO-BP-PID

为了更好地控制污水处理过程中的pH,分别采用常规PID模型、模糊自适应PID模型和经PSO-BP优化的PID模型进行MATLAB/simulink仿真。结果表明:与传统PID模型对比,模糊自适应PID可以实时调节PID参数,运行效果更加稳定;当被控对象非线性、时滞性较为严重时,经PSO-BP优化的PID模型比模糊自适应PID的数据波动更小。

In order to better control the pH during sewage treatment process,the conventional PID model,fuzzy adaptive PID model and PID model optimized by PSO-BP were used for MATLAB simulation.The results show that,compared with the traditional PID model,the fuzzy adaptive PID model can adjust the PID parameters in real time and the operation effect is more stable.When the controlled object is nonlinear and time lag is strong,the data fluctuation of PSO-BP optimized PID model is less than that of fuzzy adaptive PID model.