SVPWM-based Direct Torque Control for Permanent Magnet Synchronous Motors

In this approach, we employ SVPWM-based direct torque control for permanent magnet synchronous motors, where torque ripple is minimized by precisely adjusting the pulse width of voltage space vectors. The implementation typically involves sector determination algorithms and duty cycle calculations for different voltage vectors. This method significantly enhances torque control accuracy and stability, resulting in superior motor performance. Furthermore, we can integrate advanced control strategies such as fuzzy logic control or artificial neural network control to further optimize the motor control system's performance. These enhancements typically involve adaptive parameter tuning algorithms and intelligent decision-making modules. Through these improvements, we achieve more precise and stable torque control, thereby increasing overall system efficiency and reliability. Key functions in the implementation include voltage vector selection logic, PWM generation routines, and torque estimation algorithms.