A PI-PD controller design for control of unstable and integrating processes

Area of Science:

• Control Systems Engineering
• Process Control
• Automation

Background:

• Existing methods for controlling integrating processes often lack efficiency and simplicity.
• Model-based control strategies are crucial for optimizing complex industrial systems.
• Proportional-Integral-Derivative (PID) controllers are widely used but can be challenging to tune for specific plant dynamics.

Purpose of the Study:

• To propose a model-based PI-PD controller design for enhanced control of integrating processes.
• To introduce a simplified parameter tuning procedure using integral squared time error standard forms.
• To present an exact model extraction method for integrating processes with potential time delays.

Main Methods:

• A Proportional-Integral-Proportional-Derivative (PI-PD) controller structure is designed.
• Integral Squared Time Error (ISTE) standard forms are utilized for straightforward algebraic controller parameter determination.
• An exact model extraction technique is developed for integrating processes, accommodating time delays.

Main Results:

• The proposed PI-PD controller design simplifies the tuning process through algebraic methods.
• The developed model extraction method accurately identifies parameters for integrating processes.
• Comparative analysis demonstrates the superiority of the proposed PI-PD control method over existing techniques for integrating processes.

Conclusions:

• The proposed model-based PI-PD controller offers a simplified yet effective approach to controlling integrating processes.
• The use of ISTE standard forms facilitates easy controller design and parameter tuning.
• This advanced control strategy shows significant performance improvements compared to current methods.