Performance-based parameter tuning method of model-driven PID control systems.

Area of Science:

• Control Systems Engineering
• Process Automation

Background:

• Model-driven Two-Degree-of-Freedom PID (MD TDOF PID) controllers are gaining interest for stabilizing unstable processes.
• Existing tuning methods often rely on Internal Model Control (IMC) rather than performance index optimization.

Purpose of the Study:

• To propose a novel performance-based parameter tuning method for MD TDOF PID control systems.
• To enhance process control performance, including set-point tracking and disturbance rejection.

Main Methods:

• Developed an Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning method.
• Incorporated noise effect minimization into the tuning process for two key parameters.
• Compared the proposed method with IMC-tuned MD TDOF PID and a TDOF CS MSP controller.

Main Results:

• The proposed tuning method significantly improved control performances.
• Demonstrated superior regulating and disturbance rejection capabilities compared to existing methods.
• Effectiveness validated through comparative analysis.

Conclusions:

• The proposed ITAE-based tuning method offers an effective approach for optimizing MD TDOF PID controllers.
• This method achieves desired performance indices, outperforming conventional tuning strategies.