Robust optimization control for turbidity process with large inertia and time-delay in waterworks

Area of Science:

• Control Engineering
• Process Optimization
• Chemical Engineering

Background:

• Industrial processes often exhibit large inertia and time delays, complicating optimization and control.
• Traditional control methods struggle to maintain stability and robustness in such systems.

Purpose of the Study:

• To propose a novel Twice-Optimal Control and Construction Pruning (TOCCP) strategy for optimizing industrial processes with significant inertia and time delays.
• To enhance the fast stability and robustness of these complex systems.

Main Methods:

• The TOCCP strategy integrates Twice-Optimal Control (TOC) to eliminate time delay effects via an infinite-dimensional state observer.
• Construction Pruning (CP) is employed to enhance mid-band damping and system robustness.
• An exhaustive algorithm identifies the optimal time scale for system response speed adjustment.

Main Results:

• Simulation results demonstrate that TOCCP significantly improves system robustness, particularly in disturbance rejection and set-point tracking.
• The strategy effectively addresses the challenges posed by large inertia and time delays.
• A practical parameter tuning formula is provided, aiding industrial implementation.

Conclusions:

• The TOCCP strategy offers a practical and easily implementable solution for controlling industrial processes with large inertia and time delays.
• It provides enhanced stability, robustness, and performance in disturbance rejection and set-point tracking.
• This approach offers valuable guidelines for the industrial application of advanced control techniques.