Tuning of PID/PIDD

Area of Science:

• Control Engineering
• Process Control Systems
• Automation

Background:

• Integrating processes with time delays present significant control challenges.
• Traditional PID controller tuning methods may not adequately address robustness and disturbance rejection for these systems.
• Model-based control strategies are often complex to implement.

Purpose of the Study:

• To propose novel tuning formulas for PID/PIDD2 controllers specifically for integrating processes with time delay.
• To introduce an observer-based structure for implementing these controllers, enhancing derivative estimation.
• To achieve a balance between robustness, disturbance rejection, and noise attenuation.

Main Methods:

• State space pole placement method for controller tuning.
• Development of tuning formulas based on maximum sensitivity.
• Implementation using an observer-based PID structure with a model-independent observer.
• Simulation analysis to evaluate performance.

Main Results:

• The proposed tuning formulas provide controller parameters based on desired maximum sensitivity.
• The observer-based structure effectively estimates derivatives, reducing noise sensitivity.
• Simulation results demonstrate a favorable trade-off between robustness, disturbance rejection, and noise attenuation.
• The controller achieves good performance for integrating processes with time delay.

Conclusions:

• The novel PID/PIDD2 controller tuning method offers an effective solution for integrating processes with time delay.
• The observer-based structure enhances controller performance by mitigating noise effects on derivative estimation.
• The proposed approach provides a practical and robust control strategy for challenging process dynamics.