A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

Abstract

The application of control strategies in wastewater treatment plants has increased to improve its performance of treating the influent. Fuzzy Logic controller plays a vital role in this work and the simulation work is being carried out in Benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on 5 inputs and 6 outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation of 2014a.

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

“…In addition, effluent TN and ammonia concentration variations decreased considerably due to the DO setpoint improvement. However, the proposed control scheme showed a minor increase in aeration energy (AE) consumption [88]. A nonlinear model predictive control (NMPC) was formulated in a separate study for DO regulation.…”

A Review of AI-Driven Control Strategies in the Activated Sludge Process with Emphasis on Aeration Control

“…It utilizes a standard control approach with proportional integral (PI) controllers and is widely employed in simulating various control strategies. Using FLC in BSM1 with MATLAB/Simulink in which DO was the control variable also recorded significant performances, such as a 15.57% increase in effluent quality [43,44]. FLC has some variants with high control performance that are usually applied to manage conditions of unforeseen disturbances on the system or when a model of the controlled process is unavailable.…”