Usage of fractional order [Formula: see text] controller as AQM algorithm.

Area of Science:

• Computer Science
• Control Engineering
• Network Engineering

Background:

• Active Queue Management (AQM) algorithms are crucial for maintaining network performance by mitigating congestion.
• Fractional order controllers offer potential advantages in system control but can be computationally intensive.
• Efficient implementation of advanced control algorithms is necessary for real-time network applications.

Purpose of the Study:

• To propose and evaluate an integer-based calculation method for fractional order controllers.
• To implement and test this method as an Active Queue Management (AQM) algorithm.
• To present a Field-Programmable Gate Array (FPGA) design and experimental validation for the proposed AQM.

Main Methods:

• Development of an integer-based calculation process for fractional order controllers.
• Numerical analysis and simulation studies to assess controller performance.
• Implementation on a Linux-based testbed with real-world network devices.
• FPGA design and hardware implementation of the calculation process.
• Experimental setup and evaluation of the AQM in a network environment.

Main Results:

• The integer-based fractional order controller was successfully implemented as an AQM algorithm.
• Validation was confirmed across numerical, simulation, and hardware testbed environments.
• The FPGA design provided an efficient hardware implementation for the controller's calculation process.
• Experimental results demonstrated the practical applicability and effectiveness of the proposed AQM.

Conclusions:

• The proposed integer-based calculation method offers a viable and efficient alternative for implementing fractional order controllers in AQM.
• The study successfully bridges theoretical control concepts with practical network engineering solutions.
• The findings support the use of optimized fractional order controllers for enhanced network performance and congestion control.