Dissolved oxygen intelligent control system based on RBF (radial basis function) neural network

Abstract

The invention relates to a dissolved oxygen (DO) intelligent control system based on the RBF (radial basis function) neural network and belongs to the fields of water treatment and intelligent control. By building a control module, a hardware platform is built to form a set of complete DO intelligent control system; and DO can be accurately and more easily controlled in real time in a sewage treatment process. The DO intelligent control system based on the RBF neural network is applied to the sewage treatment process, and an electrically operated valve of an air blower is accurately controlled, so that accurate control on concentration of the DO is realized. The DO intelligent control system provided by the invention can be used for solving the problems that traditional switch control and PID control cannot realize stable and accurate control on a sewage treatment process with the characteristics such as high nonlinearity, strong coupling, time variance, large lag and serious uncertainty and realizes intelligent control on the concentration of the DO, and results show that the system provided by the invention realizes control on the concentration of the DO, and can improve sewage treatment effect and reduce energy consumption.

Description

Technical field [0001] In the present invention, a dissolved oxygen intelligent control system based on RBF neural network is designed, the control module is completed by designing the RBF neural network controller, and a complete set of dissolved oxygen intelligent control system is formed by building a hardware platform; the sewage treatment process is realized Dissolved oxygen DO is difficult to control in real time and accurately. The dissolved oxygen intelligent control system based on the RBF neural network is applied to the sewage treatment process, and the accurate control of the dissolved oxygen DO concentration is realized through the accurate control of the electric valve of the blower. Dissolved oxygen intelligent control control belongs to the field of water treatment as well as the field of intelligent control. Background technique [0002] In recent years, with the gradual increase in urbanization in my country, the urban population has also increased sharply, and...

AI Technical Summary

Problems solved by technology

[0005] The invention relates to the design and research of an intelligent control system based on RBF neural network controller. The control system is mainly based on RBF neural network controller, which can accurately calculate the control amount of dissolved oxygen and accurately control the signal through the developed system. Transfer to the executive agency to complete the control, solving the problems that are difficult to solve by manual experience and traditional PID control

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