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Sewage treatment process control method based on neural network

A neural network, sewage treatment technology, applied in the controller with specific characteristics, adaptive control, electric controller and other directions, can solve the problems of poor robustness, unsatisfactory control effect, low control accuracy, etc., to overcome the adaptive poor effect

Inactive Publication Date: 2016-08-10
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] As a control method with simple structure and easy implementation, PID control has been widely used in various industrial fields, but because the sewage treatment process is a highly nonlinear, large lag, large time-varying, multivariable coupling and other characteristics For complex systems, when traditional PID control methods are applied to such complex systems, problems such as poor robustness, low control precision and inability to adjust parameters online and in real time are prone to occur, resulting in unsatisfactory control effects

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  • Sewage treatment process control method based on neural network
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  • Sewage treatment process control method based on neural network

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Embodiment Construction

[0039] The BSM1 wastewater benchmark simulation treatment model mainly includes biochemical reaction tanks and secondary sedimentation tanks, such as figure 1 As shown, there are five units in the biochemical reaction tank, the first two units are anaerobic areas, and the last three units are aeration areas. The concentration of dissolved oxygen is mainly controlled by adjusting the oxygen conversion coefficient K of the fifth unit. L a, Keep the dissolved oxygen concentration at 2mg / L. figure 2 The topological diagram of the BP neural network shown is divided into an input layer, a hidden layer and an output layer. This patent adjusts the parameters of the PID controller through the BP neural network.

[0040] The experiment in this paper is based on the data of the BSM1 model under sunny weather. The specific steps are as follows:

[0041] S1. PID controller

[0042] There are six input quantities of the PID controller, three of which are the error variation obtained aft...

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Abstract

The invention discloses a method for controlling a sewage treatment process based on a neural network, which belongs to the field of water treatment and intelligent information control. The method mainly includes two parts: PID control part and neural network adaptive adjustment parameter part. The method can correct the PID parameters in real time according to the environmental state, and realize the stable control of the target. First, the neural network is used to correct the parameters of the PID controller in real time, so that the controller can adjust adaptively according to changes in the actual environment; meet emission standards. The neural network-based sewage treatment PID intelligent control system composed of the above two parts belongs to the protection scope of the present invention. The invention overcomes the shortcomings of poor self-adaptation and poor self-learning ability of PID control.

Description

technical field [0001] Aiming at the problem that the sewage treatment process is difficult to control, the invention uses the combination of the neural network and the PID control method in the BSM1 to control the dissolved oxygen concentration in the sewage treatment process. Neural network is one of the main branches of intelligent information processing technology. The PID control technology of sewage treatment based on neural network belongs not only to the field of water treatment, but also to the field of intelligent information control. Background technique [0002] With the rapid development of urbanization and industrialization in today's society, my country's water environment has been seriously damaged. Sewage discharge not only seriously affects the daily life of residents, but also destroys the ecological balance of nature. In order to reduce the discharge of sewage and realize the recycling of water, sewage treatment plants have been established all over the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B11/42G05B13/02
CPCG05B11/42G05B13/027
Inventor 乔俊飞付文韬武利蒙西许进超
Owner BEIJING UNIV OF TECH
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