摘要
提出了一种对永磁同步电机的直轴电感、交轴电感和定子电阻进行辨识的粒子群优化(PSO)算法。该算法具有快速、稳定的收敛性,不需要电压源逆变器和闭环控制策略,容易实现。通过PSO算法的实验结果,证明了PSO算法的有效性。
This paper introduces a particle swarm optimization（ PSO） algorithm for the identification of the direct（ d） and quadrature（ q） stator inductances and the stator resistance of permanent-magnet synchronous machines. The developed PSO algorithm has the advantages of fast and stable convergence characteristics,and it is relatively easy to implement;moreover,neither voltage source inverters nor closed-loop control strategies are needed. In this paper,the experimental results obtained by PSO demonstrate the effectiveness of the presented method.
出处
《电气开关》
2016年第1期34-37,40,共5页
Electric Switchgear
关键词
参数辨识
粒子群优化(PSO)
永磁同步电机(PMSM)
parameter identification
particle swarm optimization（PSO）
permanent magnet synchronous machine（PMSM）
