Two-level multivariable control system of dissolved oxygen tracking and aeration system for activated sludge...

Area of Science:

• Environmental Engineering
• Process Control
• Biotechnology

Background:

• Dissolved oxygen (DO) is critical for microbial activity in aerobic bioreactors, directly impacting biological processes.
• Aeration systems in wastewater treatment are complex, dynamic, and nonlinear, posing significant control challenges.
• Accurate DO tracking is essential for efficient operation and stability of biological treatment systems.

Purpose of the Study:

• To design a hierarchical, two-level multivariable control system for precise dissolved oxygen tracking.
• To develop and implement nonlinear model predictive control (NMPC) algorithms for aeration system management.
• To validate the control system's performance using real-world data and analyze the impact of disturbances.

Main Methods:

• A two-level hierarchical control architecture was designed.
• Nonlinear Model Predictive Control (NMPC) algorithms were applied at each control level.
• The system was simulated using real data from a water resource recovery facility.

Main Results:

• The designed hierarchical control system effectively tracked dissolved oxygen levels.
• NMPC demonstrated robust performance in managing the complex dynamics of the aeration system.
• Simulations validated the control strategy's efficacy under various operational conditions and disturbances.

Conclusions:

• The proposed two-level NMPC system offers a viable solution for precise dissolved oxygen control in aerobic bioreactors.
• This approach enhances the stability and efficiency of biological wastewater treatment processes.
• The study provides a validated framework for advanced control of aeration systems.