A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process

作者：Qiao, Junfei^*; Han, Gaitang; Han, Honggui; Yang, Cuili; Li, Wei

来源：Information Technology and Control, 2017, 46(3): 382-394.

DOI：10.5755/j01.itc.46.3.16061

• nonlinear
• wastewater treatment
• hybrid intelligent
• optimization system

Due to the characteristics of large lag and high nonlinearity, the optimizing operation of wastewater treatment process (WWTP) is difficult to be designed. To solve this problem, a control optimization system based on hybrid intelligent technology is proposed in this paper. This system includes a feed-forward compensator, a feedback supervision module, a pre-setting module and a soft-sensor module. To obtain the minimum energy consumption (EC) under effluent standards, the set-points of the dissolved oxygen concentration and nitrate nitrogen concentration are adjusted through feed-forward compensation, feedback correction and online estimation. Finally, the proposed approach is applied on the WWTP simulation model. Compared to the proportional-integral-derivative (PID) and data-driven adaptive optimal controller (DDAOC) methods, simulation results of the method proposed in this paper show better performance.

• 出版日期2017
• 单位北京工业大学