Quadratic interpolation optimization-based 2DoF-PID controller design for highly nonlinear continuous stirred-tank...

Area of Science:

• Process Control
• Industrial Automation
• Chemical Engineering

Background:

• Accurate temperature control is critical for energy efficiency, safety, and product quality in continuous stirred tank heater (CSTH) systems.
• Conventional proportional-integral-derivative (PID) controllers struggle with the nonlinear dynamics and external disturbances inherent in CSTH systems.

Purpose of the Study:

• To develop and validate a novel two-degrees-of-freedom PID (2DoF-PID) controller optimized with the Quadratic Interpolation Optimization (QIO) algorithm for enhanced CSTH temperature regulation.
• To demonstrate the QIO-based controller's ability to independently tune setpoint tracking and disturbance rejection, overcoming limitations of classical PID controllers.

Main Methods:

• Implementation of a 2DoF-PID controller optimized using the Quadratic Interpolation Optimization (QIO) algorithm.
• Extensive nonlinear time-domain simulations, including reference tracking and disturbance rejection tests.
• Comparative analysis against traditional tuning methods (Murrill, Rovira) and other metaheuristic optimizers (DE, PSO, FLA, MGO).

Main Results:

• The QIO-optimized 2DoF-PID controller demonstrated superior performance compared to conventional methods.
• Achieved significant reductions in overshoot, faster settling times, and minimal steady-state error in CSTH temperature control.
• Validated the effectiveness and robustness of the QIO strategy through rigorous comparative evaluations.

Conclusions:

• The proposed QIO-optimized 2DoF-PID controller offers a pioneering and effective solution for complex nonlinear temperature control in industrial systems.
• This approach provides a scalable and cost-efficient method for improving industrial process efficiency and reliability.
• The study highlights the potential of QIO for advanced process control applications.