模糊神经网络PID控制器在污水处理中的应用

Application of Fuzzy Neural Network PID Controller in Sewage Treatment

为建立实时响应快、动态调节性能大、鲁棒性强的污水处理自动控制模型,结合模糊逻辑推理控制、神经网络控制及常规PID(Proportion Integration Differentiation)控制技术,设计了模糊神经网络Fuzzy-PID污水处理控制器。仿真结果和实际应用显示,采用该控制器后,整个控制系统的收敛性、鲁棒性以及动态响应性等均有了很大的改善,系统具有较强的稳定性和自适应性。

In order to establish fast real response, dynamic regulation performance, strong robustness of the sew- age treatment automatic control model, using the combination of fuzzy logic control, neural network control and conventional PID （ Proportion Integration Differentiation） control of three major technologies, a fuzzy neural net- work controller of Fuzzy-PID sewage treatment is designed. Simulation result and field application show that after the controller being used, the whole control system convergence, robustness and dynamic response are improved greatly, and the system has good stability and adaptability.