基于算法融合模糊微分积分滑模的无速度传感器永磁同步电机运行研究

摘要

为研究永磁同步电机( PMSM)在无速度传感器工况下的速度跟踪估计，以PMSM的工作原理为基础，建立了内埋式PMSM的数学模型。基于模糊微分积分滑模( FDI-SMC )鲁棒性强的优点，提出了在鱼群-蚁群( AFSA-ACA)融合算法优化滑模控制器参数条件下采用旋转高频电压注入法对电机转速进行估计的无速度传感器控制方案，并分析了电机在高低速运行时特点。仿真结果表明，采用融合算法优化控制器结构参数并结合高频注入法的模糊微分积分滑模控制系统在高、低速工况下运行时稳定可靠，并具有较好的鲁棒性，能够实现速度跟踪估计。%Based on the principle of PMSM, a mathematical model of embedded PMSM was established for the study of speed tracking estimates of PMSM without speed sensor. The speed sensor-less control scheme to estimate the speed of the motor with the fusion algorithms of artificial fish swarm algorithm and ant colony algorithm ( AFSA-ACA) was proposed along with rotating voltage high frequency injection method in the mode of fuzzy differential and integral sliding mode control ( FDI-SMC) with its robust advantages, and its working characters in both high and low speed was also analyzed. Simulation results show that the control system is reliable in both occasions and capable of achieving better speed tracking control with good robust-ness.