Sewage treatment concentration control method utilizing iterative quadratic heuristic programming

Abstract

The invention discloses a sewage treatment concentration control method utilizing iterative quadratic heuristic programming, which is used for solving the approximate optimal control problem of a discrete time nonlinear dynamic system and is applied to the concentration control design of dissolved oxygen and nitrate nitrogen in a sewage treatment system. According to the method, a quadratic heuristic programming technology is combined with an iterative adaptive evaluation framework, so that dynamic information of a controlled object does not need to be known when an approximate optimal adjustment problem is solved, and the computational complexity of neural network back propagation can be reduced. Thus, when advanced control design is carried out, sewage treatment data resources can be effectively utilized, and the purpose of intelligent optimization is achieved in the self-adaptive learning process.

Description

technical field [0001] The invention belongs to the technical field of sewage treatment, and in particular relates to a sewage treatment concentration control method using iterative quadratic heuristic programming. Background technique [0002] As an effective means to alleviate the shortage of water resources in our country, improving the level of sewage treatment technology plays an important role in the sustainable development of the economy and society. However, the sewage treatment process has typical nonlinear characteristics, the biochemical reaction mechanism is complex, and the coupling relationship is obvious. It is difficult to establish an accurate mathematical model, and it has requirements on water quality and energy consumption. Among them, the concentration control of dissolved oxygen and nitrate nitrogen is a basic problem in the field of sewage treatment. The controllers designed by traditional methods often have disadvantages such as poor self-adaptabilit...

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