Disturbance rejecting PID-FF controller design of a non-ideal buck converter using an innovative snake optimizer with...

Area of Science:

• Electrical Engineering
• Control Systems
• Metaheuristic Optimization

Background:

• Designing proportional-integral-derivative controllers with filters (PID-FF) for non-ideal buck converters presents challenges in disturbance rejection, parameter variation robustness, and noise mitigation.
• Existing control strategies often result in suboptimal performance in practical applications.

Purpose of the Study:

• To develop an advanced metaheuristic algorithm, the opposition-based snake optimizer with pattern search (OSOPS), for optimal PID-FF controller design in non-ideal buck converters.
• To enhance disturbance rejection, robustness, and high-frequency noise mitigation in buck converter control systems.

Main Methods:

• Introduced the opposition-based snake optimizer with pattern search (OSOPS) algorithm, integrating opposition-based learning (OBL) and Pattern Search (PS) with the Snake Optimizer (SO).
• Implemented a crossover frequency constraint within the OSOPS algorithm to manage high-frequency noise and ensure robust performance.
• Evaluated the OSOPS-based PID-FF controller against the original SO and classical pole placement (PP) methods using statistical analysis, transient/frequency responses, and robustness tests.

Main Results:

• The OSOPS-based system demonstrated significantly faster rise times (14.21% vs. SO, 32.10% vs. PP) and settling times (15.38% vs. SO, 84.95% vs. PP).
• OSOPS and SO controllers achieved higher bandwidths compared to the PP method (18.74% and 17.03% higher, respectively).
• OSOPS effectively mitigated high-frequency noise and improved disturbance rejection and robustness.

Conclusions:

• The OSOPS algorithm offers a superior approach for designing PID-FF controllers for non-ideal buck converters, addressing key performance limitations.
• The proposed control strategy significantly enhances system performance, offering faster responses and improved stability, promising practical application benefits.