Predictive Torque Control With Reduced Voltage Vectors for Voltage Source Inverter Driven Induction Motor Drives

Conventional finite state predictive torque control (FS-PTC) suffers from increased computational complexity, torque ripple, and switching losses due to using all the available voltage vectors for prediction and estimation. This paper presents an enhanced FS-PTC algorithm for two-level voltage source inverter (VSI) driven induction motor drives (IMDs). The proposed method significantly reduces computational complexity by optimizing the voltage vector selection process. Based on motor operating conditions and stator current position, this reduces the number of evaluated vectors from eight to five. This optimization achieves a 24% reduction in execution time to 29.03 μs, compared to 36.06 μs for conventional FS-PTC, while maintaining excellent dynamic response. Additionally, the proposed approach reduces inverter switching losses and demonstrates improved performance metrics, including reduced torque ripple (2.35%), flux ripple (0.026%), and total harmonic distortion (7.06%) compared to the conventional method. Simulation results and experimental validation on a prototype confirm the effectiveness of the proposed strategy in enhancing computational efficiency and overall drive performance.