Dissolved oxygen generic model control of wastewater treatment process based on immune optimization least squares support vector machine

2010 ◽  
Author(s):  
Hongtao Ye ◽  
Fei Luo ◽  
Yuge Xu
Keyword(s):  
Support Vector Machine ◽  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Treatment Process ◽  
Support Vector ◽  
Generic Model ◽  
Wastewater Treatment Process ◽  
Immune Optimization ◽  
Model Control ◽  
Generic Model Control

scholarly journals An Effective Dynamic Immune Optimization Control for the Wastewater Treatment Process

2021 ◽  
Author(s):  
Fei Li ◽  
Zhong Su ◽  
Gongming Wang
Keyword(s):  
Wastewater Treatment ◽  
Dynamic Optimization ◽  
Performance Indicators ◽  
Treatment Process ◽  
Control Process ◽  
Control Effect ◽  
Wastewater Treatment Process ◽  
Immune Optimization ◽  
Effective Dynamic ◽  
Optimization Control

Abstract Aiming at the conflict of multiple performance indicators in the complex wastewater treatment process (WWTPs), an effective optimization control based on dynamic multi-objective immune (DMOIA-OC) is designed. This method first designs a dynamic optimization control scheme. It also divides the control process into a dynamic optimization layer and a tracking control layer. Secondly, based on analyzing the performance of WWTPs, the optimization layer establishes energy consumption and effluent quality models that adapt to the environment. Thirdly, an adaptive dynamic immune optimization algorithm is proposed to optimize complex and conflicting performance indicators. Besides, a suitable preference solution is selected from many Pareto solutions. It is to obtain the best set values of dissolved oxygen and nitrate nitrogen. Finally, the solution will be tested on the benchmark simulation platform (BSM1). The results show that the DMOIA-OC method can solve the complex optimization problem of multiple performance indicators in WWTPs. And it has a competitive advantage in the control effect.

A MATHEMATICAL MODEL FOR WASTEWATER TREATMENT PROCESS OF AN OXIDATION POND

2016 ◽  
Vol 78 (3-2) ◽  
Author(s):  
Amir S. A. Hamzah ◽  
Akbar Banitalebi ◽  
Ali H. M. Murid ◽  
Zainal A. Aziz ◽  
Hasniza Ramli ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Coupled Equations ◽  
Proposed Model ◽  
The Mathematical Model

This study presents a mathematical model for wastewater treatment process (WWTP) of an oxidation pond. The model permits investigating the effects of a biological-based product called mPHO on the degradation of contaminants as well as increase the amount of dissolved oxygen (DO) in the pond. At this aim, an ordinary differential equation with coupled equations has been developed to study the correlation between the amount of bacteria (phototrophic and Coliform), chemical oxygen demand (COD), and dissolved oxygen (DO) existing in the pond. The mathematical model is employed to simulate the behaviour of the system where the numerical results demonstrate that the proposed model gives a good approximation of the interaction processes that occur naturally between biological and chemical substances involved in the pond

Research on Control Strategy of Dissolved Oxygen in Aerobic Wastewater Treatment Process

2013 ◽  
Vol 788 ◽  
pp. 371-374 ◽  
Author(s):  
Jia Yu Kang ◽  
Guang Di Gao ◽  
Tian Bao Liu
Keyword(s):  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Pid Control ◽  
Treatment Process ◽  
Control Strategies ◽  
Robustness Analysis ◽  
Step Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Wastewater Treatment Process

Aerobic biological wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, the control of the dissolved oxygen (DO) level in the reactors plays an important role in the operation of the facility, which affects the activity of activated sludge. A mathematical model of aeration system is established with the actual pulp and paper wastewater aerobic biological treatment process in Shandong as the background. Three control strategies for DO are designed. MATLAB simulation was carried out to compare the PID control, fuzzy control and fuzzy PID control of the step response. The robustness analysis of the three control systems is also researched. Conclusion is that the performance of Fuzzy PID control is the best.

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