基于波波夫超稳定性的无刷双馈电机直接转矩控制

在无刷双馈电机直接转矩控制系统中，定子参数变化会引起电机特性不稳定。基于模型参考自适应控制策略(model reference adoptive strategy，MRAS)设计了一种新型的磁链、速度自适应观测器，以无刷双馈电机的定子电流及磁链为状态变量，将磁链观测和速度辨识结合在一起，定子磁链观测值直接应用于直接转矩控制算法中，构建了无速度传感器无刷双馈电机直接转矩控制系统。采用波波夫超稳定性理论确定速度自适应律，建立了Matlab/Simulink环境下直接转矩控制系统的仿真模型。仿真研究结果表明，所提出的磁链、速度自适应观测器可实现定子磁链、速度的精确辨识，磁链轨迹可以保持容差范围内的圆形，有效减少无刷双馈电机定子电阻变化对系统运行特性的影响，提高了系统的稳定性和鲁棒性。

Direct Torque Control Strategy for Brushless Doubly-fed Machines Based on Popov Hyperstability Theory

The operation performance of machine may turn up unstable by the variation of parameters with time in direct torque control (DTC) system of brushless doubly-fed machines (BDFM). A novel speed and flux adaptive observers were designed based on model reference adaptive strategy. The stator currents and stator fluxes of BDFM were used as state variables to observe flux and identify speed at the meantime. The observing value of stator flux was directly applied to DTC algorithm to construct a speed sensorless DTC system of BDFM. The speed adaptive law was defined by Popov hyperstability theory to establish simulation model of DTC under Matlab/Simulink. The simulation results showed that this novel speed and flux adaptive observers can identify stator speed and flux accurately, the flux trajectory could be kept within the scope of tolerance. The influence of stator resistance variation on system performance can be effectively reduced by variation of stator resistance. The stability and robust performance of the system can be enhanced.