ZHANG Xiang-sheng, TIAN Jia-wen, LIU Min-jie, et al. Sensorless of PMSM with model reference fuzzy adaptive system[J]. 2018, 37(11): 99-102. DOI: 10.13873/j.1000-9787(2018)11-0099-04.
PMSM无传感器模型参考模糊自适应系统
摘要
传统自适应系统的永磁同步电机(PMSM)矢量控制系统在运行工况改变时
系统的对象参数、数学模型随之改变
使得系统在实际应用时产生较大误差。为此
提出一种不依靠参数的双级式模糊自适应系统。以定子电流作为参考模型
根据相关度分别计算两级控制器的增益系数。仿真和实验结果表明:与传统算法比较
提出的算法鲁棒性更强
动、稳态性能显著提高。
Abstract
When the operating conditions of the permanent magnet synchronous motors(PMSM) vector control system based on traditional adaptive system change
the object parameters and the mathematical model for the system will also change
which makes the system have a big error in the practical application. Aiming at this problem
a two-level fuzzy adaptive system that does not depend on parameters is proposed. The method uses the stator current as a reference model
and gain coefficients of the two-stage controller are respectively calculated according to the correlations.Simulation and experimental results show that the proposed algorithm is more robust
and its dynamic and steady-state performance are significantly improved.
A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive [J] . A. Khlaief,M. Boussak,A. Chaari. Electric Power Systems Research . 2014