High-performance induction motor (IM) drives based on Direct Torque Control (DTC) are widely used for their fast dynamic response, but they suffer from substantial torque ripple (±15–20%) and flux oscillations, which lead to increased mechanical vibrations and acoustic noise. This article proposes a novel Particle Swarm Optimization (PSO)-enhanced DTC scheme that dynamically optimizes voltage vector selection to minimize torque ripple while preserving the rapid response of conventional DTC. The PSO algorithm addresses a multi-objective optimization problem by selecting optimal switching sequences in real-time, based on instantaneous torque error, flux error, and switching frequency constraints. Simulation results show that the proposed PSO-DTC reduces torque ripple by 68% (from 18.5% to 5.9%), improves settling time by 45% (from 0.36s to 0.25s under no-load), and lowers steady-state error by 50% compared to conventional PI-based DTC. Additionally, the total harmonic distortion (THD) of the stator current is reduced from 12.3% to 4.7%. Performance evaluations under varying load conditions (0–100% rated torque) confirm the scheme’s superior dynamic response and improved power quality, making it a strong candidate for high-precision industrial applications.
