Disturbance rejection FOPID controller design in v-domain

Area of Science:

• Control Systems Engineering
• Optimization Techniques
• Mechatronics

Background:

• Unpredictable environmental disturbances negatively impact real-world control systems.
• Robustness in control performance is crucial for reliable system operation.
• Fractional Order Proportional-Integral-Derivative (FOPID) controllers offer advanced control capabilities.

Purpose of the Study:

• To introduce a v-domain optimal design scheme for FOPID controllers.
• To enhance disturbance rejection control performance.
• To achieve robust control system design against environmental disturbances.

Main Methods:

• Utilized Genetic Algorithm (GA) for multi-objective controller design optimization.
• Employed a v-domain optimal design scheme for FOPID controllers.
• Focused on system pole placement with minimum angle to the first Riemann sheet.
• Fulfilled a predefined reference to disturbance rate (RDR) design specification.

Main Results:

• Demonstrated improved disturbance rejection control performance.
• Successfully designed FOPID controllers using the proposed GA-based scheme.
• Validated the effectiveness of the optimal pole placement strategy.

Conclusions:

• The proposed v-domain optimal design scheme effectively enhances FOPID controller robustness.
• GA optimization provides a viable computer-aided solution for complex controller design.
• The method offers improved disturbance rejection, crucial for real-world control applications.