基于四阶累积量MUSIC法的感应电机无传感器速度估计

从感应电机定子电流频谱中提取转子槽谐波,并求得电机的转速,传统采用FTT技术,但其自身存在如频率分辨率低、抑制噪声能力弱等一些缺点。提出一种采用基于四阶累积量的MUSIC法从异步电动机定子电流频谱中提取转子槽谐波频率,进而准确估计电机转速的新方法。MUSIC法具有高频率分辨力和强大的微弱谐波检测能力,加之高阶累积量可以有效地抑制噪声,基于四阶累积量MUSIC法非常适用于感应电机转子槽谐波提取。实验结果表明,基于四阶累积量MUSIC法可以正确提取转子槽谐波频率,准确估计出电机转速,尤其在频率分辨率和抗噪声上比FFT法具有较好的优越性。

Speed Sensorless Vector Control of Induction Motor Based on Reduced Order Extended Kalman Filter

A speed sensorless vector control system of induction motor with estimated rotor speed and rotor flux using a new reduced order extended Kalman filter is proposed. With this method, two rotor flux components are selected as the state variables, and the rotor speed as an estimated parameter is regarded as an augmented state variable. The algorithm with reduced order decreases the computational complexity and makes the proposed estimator feasible to be implemented in real time. The simulation results show high accuracy of the estimation algorithm and good performance of speed control, and verify the usefulness of the proposed algorithm.