Optimization of control parameters of a hot cold controller by means of Simplex type methods

Area of Science:

• Chemical Engineering
• Process Control

Background:

• Crystallization operations require precise temperature control for optimal outcomes.
• Traditional empirical methods for controller tuning, such as the Ziegler-Nichols method, can yield unreliable parameters.
• Existing controller identification methods may not adequately address variations between set points and actual values.

Purpose of the Study:

• To develop and evaluate an improved hot/cold controller for regulating crystallization operations.
• To compare the effectiveness of empirical controller tuning methods with optimization techniques.
• To identify the most suitable optimization method for determining reliable controller parameters.

Main Methods:

• System identification using the Broida method.
• Parameter estimation via the Ziegler-Nichols method.
• Application of optimization methods, including the weighted centroid method, for parameter determination.

Main Results:

• Empirical methods (Broida, Ziegler-Nichols) provide only qualitative regulation and can produce unreliable parameters.
• Optimization methods effectively solve the identification problem and determine robust regulation parameters.
• The weighted centroid method demonstrated superior performance in parameter optimization.

Conclusions:

• Traditional empirical methods are insufficient for precise control in crystallization.
• Optimization techniques, particularly the weighted centroid method, are essential for reliable controller parameter determination.
• The developed controller enhances the regulation of crystallization operations.