A Synergistic Control Method for Sewage Treatment Process Based on Type II Fuzzy Neural Network

Abstract

The present invention proposes a cooperative control method for sewage treatment process based on type II fuzzy neural network. It is difficult to establish an accurate mathematical model for the sewage treatment process. The sewage treatment process has strong nonlinearity and uncertainty. The dissolved oxygen DO concentration and NO 3 ‑N concentration is difficult to effectively control, to achieve dissolved oxygen DO concentration and nitrate nitrogen NO in the process of sewage treatment 3 Synergistic control of ‑N concentration. The control method uses the type II fuzzy neural network to establish a cooperative fuzzy neural controller, and builds a loop between the cooperative fuzzy neural controller and the control object. 3 ‑N concentration can be controlled, and the concentration of dissolved oxygen DO and nitrate nitrogen NO can be controlled under different operating conditions. 3 ‑N concentration can be controlled quickly and accurately, which improves the operating performance of the sewage treatment process under different working conditions and achieves satisfactory control accuracy.

Description

technical field [0001] The present invention utilizes the cooperative control method based on the type II fuzzy neural network to realize the concentration of dissolved oxygen DO and nitrate nitrogen NO in the process of sewage treatment 3 -Synergistic control of N concentration, dissolved oxygen DO concentration and nitrate nitrogen NO 3 -N concentration is a key control parameter in the sewage biochemical reaction process, which has an important impact on the sewage treatment process, effluent water quality, and energy consumption; the collaborative control method based on the type II fuzzy neural network is applied to the sewage treatment process to realize the dissolved oxygen DO Concentration and NO 3 -Coordinated control of N concentration; ensuring the stable operation of the sewage treatment process under various operating conditions, which belongs to both the field of water research and the field of intelligent control; Background technique [0002] The rapid incr...

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Problems solved by technology

[0003] As the key process variables in the wastewater treatment process, dissolved oxygen DO concentration and nitrate nitrogen NO 3 The -N concentration plays a direct control role in the biochemical reaction process in the sewage treatment process; in sewage treatment plants, the activated sludge method is the most commonly used method for sewage treatment, and the biochemical reactions involved include ammonification, nitrification, and reaction. Nitrification reaction can remove pollutants in wastewater by degrading organic matter; ammoniation reaction can convert organic nitrogen compounds into ammonia nitrogen, and nitrification reaction can synthesize ammonia nitrogen into nitrate nitrogen NO 3 -N; at the same time, nitrate nitrogen NO can be converted by denitrification reaction 3 -N is decomposed into nitrogen gas; although these biochemical reactions can effectively remove organic matter, these reaction processes are difficult to be effectively controlled; nitrification is an aerobic reaction, and in nitrification, higher dissolved oxygen DO concentration will promote ammonia nitrogen Degradation; in contrast, denitrification reaction requires anoxic environment, and denitrification reaction can remove most of the nitrate nitrogen NO under anoxic conditions 3 -N; Due to these contradictory reaction conditions, the current traditional PID control method is difficult to effectively control nitrification and denitrification at the same time, and there are a lot of interference and uncertainty in the sewage treatment process, which also increases the difficulty of control; in addition , too high dissolved oxygen DO concentration will inhibit nitrification and denitrification reactions, too low nitrate nitrogen NO 3 -N concentration will reduce the denitrification effect of denitrification reaction; therefore, the concentration of dissolved oxygen DO and nitrate nitrogen NO 3 It is necessary to carry out cooperative control of -N concentration; the second type fuzzy neural network can well express the change of process variables in the process of sewage treatment with strong nonlinearity and high uncertainty by using the second type fuzzy rules, and has a relatively Strong learning ability and self-adaptive ability; the cooperative control of sewage treatment process based on the type II fuzzy neural network has strong robustness and high control accuracy, and at the same time through the coordination of the global parameters and local parameters Optimized to improve the control response speed, and can realize the control of dissolved oxygen DO concentration and nitrate nitrogen NO 3 -The coordinated control of N concentration improves the stable operation ability of the sewage treatment process under various working conditions, ensures the real-time compliance of the effluent water quality, and has good practical application value;

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