Advanced motor control in industrial applications requires precise current reference generation to optimize efficiency and reduce vibration. Six-phase permanent-magnet synchronous motors (PMSMs) with nonsinusoidal back-EMF waveforms offer superior performance characteristics, but controlling them optimally across the full operating range presents significant practical challenges.
Previous research demonstrated that lookup table (LUT)-based methods could generate current references minimizing both stator copper losses and torque ripple. However, these tables required several hours of offline computation and consumed enormous memory resources—a critical limitation in real industrial drives where digital signal processors have restricted on-chip storage capacity.
This research addresses that bottleneck by systematically optimizing LUT design through three key strategies: breakpoint selection, LUT construction methodology, and interpolation approaches. Engineers evaluated how intelligently placing breakpoints in the torque-speed operating envelope could reduce redundant data while preserving control performance. Advanced construction techniques and interpolation methods further compressed storage requirements without sacrificing the motor's achievable torque-speed operating area.
Simulation validation demonstrates that the simplified tables maintain nearly identical performance to the original comprehensive datasets while dramatically reducing both memory demands and pre-computation time. This breakthrough makes the advanced control technique practical for deployment in commercial industrial drives.
The optimization enables manufacturers to implement sophisticated multiphase motor control without extensive hardware upgrades. As industrial automation increasingly demands higher efficiency and lower vibration in variable-speed applications, this approach removes a significant barrier to adoption. The methodology is particularly valuable for applications like electric vehicle powertrains, industrial pumps, and machine tool spindles where motor efficiency directly impacts system performance and operating costs.
Further refinement could extend these optimization principles to other multiphase motor topologies and control objectives.
