Open AccessStudy and Application of Self-Adaptive Fuzzy PID Control in Dissolved Oxygen Control of Wastewater Treatment
Author(s) -
Dasen Zhang,
Jian Chu,
Yacong He,
Hui Jin,
Wei Han
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/562/1/012147
Subject(s) - pid controller , control theory (sociology) , overshoot (microwave communication) , controller (irrigation) , fuzzy logic , sewage treatment , fuzzy control system , nonlinear system , control engineering , computer science , control (management) , engineering , temperature control , environmental engineering , artificial intelligence , telecommunications , agronomy , biology , physics , quantum mechanics
In view of the typical nonlinear, time-varying and large lag characteristics of dissolved oxygen (DO) concentration control in wastewater treatment, it is difficult to obtain a good control performance by using conventional proportional-integral-derivative (PID) control. In order to greatly improve the control effect, designing a self-adaptive fuzzy PID controller. Through analysis and reasoning can obtain the optimal control effect under the optimal membership. MATLAB simulation and application show that compared with the conventional PID control, the self-adaptive PID controller accelerates the response speed of the dissolved oxygen control system and reduces the overshoot. This control method achieves a better control performance in the actual sewage treatment central control system, improves the sewage treatment efficiency, and has the value of popularization and application.