Model-Based Control Strategy Evaluation for PMSM
MSc dissertation exploring advanced model-based control of Permanent Magnet Synchronous Motors (PMSM) for optimized efficiency, torque smoothness, and inverter performance in Electric Vehicle drivetrains.
Coventry University · MSc Electrical & Electronics Engineering
📘 Abstract
This project investigates Field-Oriented Control (FOC) and Direct Torque Control (DTC) approaches for PMSM, analyzing inverter topology and system stability through MATLAB/Simulink modeling. Results show that model-based control significantly enhances torque linearity and minimizes distortion — paving the way for intelligent EV control systems.
🎯 Objectives
- Develop dynamic PMSM models using dq-axis equations.
- Implement and benchmark FOC and DTC algorithms.
- Measure inverter performance: overshoot, ripple, and THD.
- Optimize tuning for stable high-efficiency operation.
🚗 Use Case
The PMSM control architecture is ideal for Electric Vehicles, ensuring precise torque delivery and smooth acceleration with improved energy efficiency. It supports adaptive regenerative braking and torque coordination for hybrid powertrains.
📊 Results
Simulation analysis revealed that optimized FOC yielded a 14% improvement in efficiency and reduced Total Harmonic Distortion to 2.3%. Sinusoidal PWM modulation demonstrated superior steady-state accuracy and minimized switching losses under varying loads.
🚀 Future Scope
Future advancements include embedding AI-driven adaptive control for real-time tuning and implementing FPGA-based architectures to achieve nanosecond-level response times — making PMSM systems smarter and fault-tolerant.