Optimum Design of PIλDμ Controller for an Automatic Voltage Regulator System Using Combinatorial Test Design.

Area of Science:

• Control Engineering
• Systems Engineering
• Computational Engineering

Background:

• Combinatorial test design systematically reduces test cases by selecting subsets based on input variable combinations.
• This technique, successful in software testing (t-way testing), offers potential for diverse research areas.
• Fractional Order (FO) controllers, like PID, are crucial for system stability and performance.

Purpose of the Study:

• To explore the applicability of combinatorial test design for Fractional Order PID (FOPID) controller parameter design.
• To theoretically and practically validate this novel application in an automatic voltage regulator (AVR) system.
• To investigate the effectiveness of combinatorial test design in optimizing FOPID controller parameters.

Main Methods:

• Applied combinatorial test design principles to FOPID controller parameter selection for an AVR system.
• Developed algorithms and adapted strategies to create an optimum and effective test set covering all relevant combinations.
• Conducted simulations and experiments to evaluate the performance and efficiency of the designed FOPID controller.

Main Results:

• Combinatorial test design successfully identified parameter combinations leading to optimal FOPID controller design for the AVR system.
• Increasing the combination strength (e.g., 4-way) achieved effectiveness comparable to exhaustive testing.
• A significant reduction in the number of required tests was demonstrated, leading to faster parameter optimization.

Conclusions:

• Combinatorial test design is a viable and effective technique for optimizing FOPID controller parameters in AVR systems.
• This approach offers substantial efficiency gains by minimizing test cases while maintaining design quality.
• The findings suggest broader applicability of combinatorial test design in advanced control system parameter tuning.