基于粒子群算法的双三相永磁同步电机谐波优化设计

Harmonic Optimal Design of Double Three-phase Permanent Magnet Synchronous Motor Based on Particle Swarm Optimization

双三相永磁同步电机具有多自由度,通过注入谐波电流可以显著提高转矩输出能力。相比未注入谐波策略,最大转矩峰值电流比控制在保持峰值相电流不变时输出更高的转矩,其中五、七次谐波电流注入策略不需要进行硬件重构。但传统的五、七次谐波注入策略没有考虑铜耗。因此本文提出一种基于粒子群算法的五、七次谐波电流优化设计,限制峰值相电流,采用粒子群算法搜索以转矩最大和铜耗最小为目标的全局谐波电流最优值。实验结果表明,所提策略可以在兼顾转矩输出的同时有效降低铜耗。

Dual three-phase permanent magnet synchronous motor(DT-PMSM)has multiple degrees of freedom,and its torque output capability can be significantly improved by injecting harmonic currents.Compared with the strategy of not injecting harmonics,the maximum torque per peak current(MTPPC)control can output higher torque when controlling the peak phase current to remain unchanged.Injection strategies of the fifth and seventh harmonic currents do not require hardware reconstruction.However,the traditional fifth and seventh harmonic injection strategies do not consider copper loss.Therefore,this paper proposed a particle swarm optimization(PSO)based fifth and seventh harmonic current optimization design,which limited the peak phase current and used the particle swarm optimization algorithm to search for the optimal global harmonic current value with the objectives of maximum torque and minimum copper loss.Experimental results show that the proposed strategy can reduce copper loss while considering torque output.