Enhancing the performance of parallel cascade control using Smith predictor.

Area of Science:

• Chemical Engineering
• Control Systems

Background:

• Parallel cascade controllers are vital for improving dynamic performance in chemical processing industries.
• Existing systems face challenges with disturbances and inherent process delays.

Purpose of the Study:

• To design and evaluate a parallel cascade control system incorporating a delay compensator.
• To enhance the dynamic performance and robustness of control systems in chemical processes.

Main Methods:

• A delay compensator was integrated into the primary loop of the parallel cascade system.
• The secondary controller was designed using the internal model control (IMC) method.
• The primary controller was designed using a direct synthesis method for delay-free systems, considering both slow and fast secondary loop dynamics.

Main Results:

• The proposed method provides robust control performances.
• Significant improvements in closed-loop performance were observed with the delay compensator compared to conventional systems.
• Case studies confirmed the advantages over recently reported methods.

Conclusions:

• The incorporation of a delay compensator in parallel cascade control systems offers substantial benefits.
• The developed method enhances dynamic performance and robustness for chemical process control.