公开(公告)号：US20220112108A1

公开(公告)日：2022-04-14

申请号：US17392100

申请日：2021-08-02

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Honggui HAN ,  Shijia FU ,  Xiaolong WU ,  Junfei QIAO

IPC: C02F3/00 ,  G06N3/04 ,  G05B13/04 ,  G05B13/02

Abstract: A hierarchical model predictive control (HMPC) method based on fuzzy neural network for wastewater treatment process (WWTP) is designed to realize hierarchical control of dissolved oxygen (DO) concentration and nitrate nitrogen concentration. In view of the difference of time scales in WWTP, it is difficult to accurately control the concentration of DO and nitrate nitrogen. The disclosure establishes a HMPC structure according to different time scales. Then, the concentration of DO and nitrate nitrogen is controlled with different frequencies. It not only conforms to the operation characteristics of WWTP, but also solves the problem of poor operation performance of multivariable model predictive control. The experimental results show that the HMPC method can achieve accurate on-line control of DO concentration and nitrate nitrogen concentration with different time scales.