Torque Ripple Minimization Control of Permanent Magnet Synchronous Motor using Adaptive Ant Colony Optimization

The presence of a fault in motor drives might cause the system to completely shutdown, reduce its performance, or cause disruptions in its operation. Therefore, having fault-tolerant capabilities to sustain continuous operation has become a crucial issue. In this paper, the control strategy aims to minimize torque ripples and consequently vibrations under stator winding unbalance fault applied to a permanent magnet synchronous motor. The control law is based on the space phasor in order to calculate the currents reference using a vector technique, allowing the fault to be corrected. Furthermore, the ACO algorithm is employed for self-tuning of controller parameters. By combining these techniques, we may improve the overall efficiency and stability of the system.