基于粒子群算法的永磁同步电机H∞速度观测器

he speed estimation of the permanent magnet synchronous motor vector control system is realized by H∞ speed observer. But its control performance has a relationship with weight coefficient directly, so that its application of high-performance is influenced in the variable frequency system. A novel method of H∞ speed observer of permanent magnet synchronous motor based on Particle Swarm Optimization Algorithm (PSO) is proposed in this paper, and the PSO algorithm is studied on the basis of the H∞ speed observer vector control system, and then the algorithm realization is analyzed. The PSO algorithm is introduced into the H∞ speed observer, and the observer coefficient is optimized by taking full advantage of the adaptability of PSO algorithm. The simulation results verify that the performance of PMSM sensorless vector control system is better.