Hybrid FOT2F-FOPD controller for permanent magnet synchronization motor based on ILA optimization with SRF-PLL

Area of Science:

• Electrical Engineering
• Control Systems
• Robotics

Background:

• Permanent magnet synchronous motors (PMSMs) are widely used due to their high efficiency and reliability.
• Effective speed control is crucial for PMSM applications, requiring robust control strategies.

Purpose of the Study:

• To develop and evaluate a novel hybrid fractional order controller for PMSM speed tracking.
• To enhance PMSM performance under varying load and parameter conditions.

Main Methods:

• A hybrid fractional order PI and type 2 fuzzy control with fractional order PD control (FOT2F-FOPD) was proposed.
• Sensorless speed observation using SRF-PLL and parameter tuning via the Incomprehensible but Intelligible-in-time (IbI) Logics algorithm (ILA) were employed.
• Simulations in MATLAB/Simulink were conducted for performance assessment.

Main Results:

• The proposed ILA (FOT2F-FOPD) controller significantly reduced settling time (by at least 65%), steady-state error (by 54%), and overshoot (by 53%) under load conditions compared to PI, FOPI, FOPD, and PSO controllers.
• Under no-load conditions, settling time and error were reduced by 31% and 12.5%, respectively, with no overshoot.
• The controller demonstrated superior performance compared to conventional PI and FOPI controllers.

Conclusions:

• The proposed hybrid fractional order controller, optimized with ILA, offers substantial improvements in PMSM speed tracking performance.
• This sensorless control strategy enhances system robustness and efficiency for various applications.