Enhancing variable frequency drive efficiency using fractional hybrid Particle Swarm Optimization and comprehensive...

Area of Science:

• Electrical Engineering
• Control Systems
• Computational Intelligence

Background:

• Vector-controlled Permanent Magnet Synchronous Motor (PMSM) drives are crucial in modern electric vehicles.
• Enhancing both dynamic and thermal performance of PMSM drives is essential for efficiency and reliability.
• Existing optimization methods may face challenges in convergence stability and global exploration.

Purpose of the Study:

• To propose a novel Fractional Calculus Hybrid Approach for PMSM drives.
• To improve the dynamic and thermal performance of vector-controlled PMSM drives.
• To enhance energy efficiency, thermal reliability, and long-term durability of PMSM-based Variable Frequency Drive (VFD) systems.

Main Methods:

• Developed a Fractional Hybrid Particle Swarm Optimization (FHPSO) algorithm, embedding fractional-order calculus into Particle Swarm Optimization (PSO) and hybridizing with Simulated Annealing (SA).
• Precisely tuned Proportional-Integral (PI) controller parameters for improved transient and steady-state responses.
• Integrated a detailed thermal model of the Variable Frequency Drive (VFD) for temperature prediction and regulation under varying conditions.

Main Results:

• Achieved significant reductions in overshoot and settling time for drive responses.
• Demonstrated substantial improvement in temperature regulation, reducing MOSFET temperatures from over 80°C to approximately 29°C (a ~64% improvement).
• Validated the approach through comprehensive simulations and Hardware-in-the-Loop (HiL) experiments.

Conclusions:

• The Fractional Calculus Hybrid Approach offers a mathematically rigorous and computationally efficient method for PMSM drive optimization.
• This approach significantly enhances dynamic response, thermal management, and overall system reliability.
• The findings support the application of this method in advanced electric vehicle VFD systems for improved performance and durability.