Back EMF Waveform Optimization of Hybrid Less Rare-earth Synchronous Reluctance Motor Using PSO Algorithm

The Hybrid Less Rare-Earth Synchronous Reluctance Motor (HLRE-SRM) has garnered widespread attention due to its economic advantages. This paper addresses the back EMF optimization for HLRE-SRM by constructing a simplified no-load magnetic circuit model to derive the relationship between the barrier angle and the motor's magnetic flux harmonics. Then, the Particle Swarm Optimization (PSO) algorithm, which does not rely on finite element analysis, is used to optimize the barrier position angle, reducing specific harmonic magnetic densities and enhancing the sinusoidality of the back EMF. Simulation results demonstrate that the proposed optimization scheme achieves a total harmonic distortion of less than 4%.