Sewage disposal process multi-purpose control method based on nonlinear model prediction

Abstract

The invention provides a sewage disposal process multi-purpose control method based on nonlinear model prediction aiming at the characteristics that a sewage disposal process is high in nonlinearity, strong in coupling, large in time varying and lag, severe in uncertainty and the like. Control of concentration of dissolved oxygen (DO) and nitric nitrogen (SNO) in the sewage disposal process is achieved. According to the control method, a sewage disposal process prediction model is established, a nonlinear model prediction control method is used for multipurpose control, and accordingly control effect is improved, the dissolved oxygen and the nitric nitrogen can meet expected requirements quickly and accurately, and the problem that self-adaptive capacity is bad based on switch control and PID control currently is solved. Experiment results show that the concentration of the dissolved oxygen and the nitric nitrogen can be quickly and accurately controlled through the method, strong self-adaptive capacity is achieved, quality and efficiency of sewage treatment can be improved, sewage treatment cost is lowered, and sewage treatment plant high-efficiency and stable operation is facilitated.

Description

technical field [0001] The invention utilizes a nonlinear model-based predictive control method to realize dissolved oxygen (DO) and nitrate nitrogen (S NO ) concentration control, dissolved oxygen (DO) and nitrate nitrogen (S NO ) concentration directly determines the effect of sewage treatment, and has an important impact on effluent water quality and energy consumption. Dissolved oxygen (DO) and nitrate nitrogen (S NO ) control, as an important part of sewage treatment, is an important branch of the advanced manufacturing technology field, which belongs to both the control field and the water treatment field. Background technique [0002] With the growth of the national economy and the enhancement of public awareness of environmental protection, sewage treatment automation technology has ushered in unprecedented opportunities for development. The national medium and long-term scientific and technological development plan proposes to research and promote new technologie...

AI Technical Summary

Problems solved by technology

[0004] Although the traditional switch control or PID control is a widely used control method at present, because the dissolution process of oxygen is affected by the water quality, temperature and pH value of the incoming water, it is highly nonlinear, strongly coupled, time-varying, and large characteristics such as hysteresis and uncertainty

The traditional switch control or PID control method has poor self-adaption ability and often cannot achieve ideal control effect

At the same time, due to the hysteresis characteristics of the sewage treatment process, it is very difficult to accurately express the relationship between the control variables and the control objectives

At present, the structure of the sewage treatment process model is complex, there are too many parameters to be tuned, and the identifiability is poor. It cannot dynamically reflect the implicit relationship between the operating variable and the control target, and cannot be used for online control.

In addition, the number and content of pollutants in sewage are large and varied, which is a big challenge for detection

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