Improving the accuracy of the rotor resistance estimate for vector-controlled induction machines
Improving the accuracy of the rotor resistance estimate for vector-controlled induction machines
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DOI：
10.1049/ip-epa:19971133
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发表时间：
1997-09
影响因子：
7.7
通讯作者：
S. Wade;M. W. Dunnigan;B. Williams
中科院分区：
文献类型：
--
作者：
S. Wade;M. W. Dunnigan;B. Williams
矢量控制感应电机转子电阻的估计是实现高性能转矩控制的必要条件。扩展卡尔曼滤波器（EKF）或扩展Luenberger观测器（ELO）已被用来估计这个机器参数。三种技术与EKF和ELO一起使用，提高了转子电阻估计的精度，无论是在两个估计器中，还是在EKF中。这些技术是：使用同步双轴（d/sub e/-q/sub e/）框架模型的感应电机与扩展卡尔曼滤波器，列入铁损电阻预先计算的相电流所使用的估计器，并注入一个高频正弦波的磁通电流参考命令。这些改进是在不增加估计算法复杂性的情况下实现的。由此产生的转子电阻估计的改进说明通过仿真和实际实施的矢量控制感应电机。高性能的数字信号处理器（DSP）被用于实际的实现。
The estimation of rotor resistance in a vector-controlled induction machine is necessary to achieve high performance torque control. The extended Kalman filter (EKF) or the extended Luenberger observer (ELO) have been used to estimate this machine parameter. Three techniques are presented for use with the EKF and ELO which improve the accuracy of the rotor resistance estimate, either in both estimators, or in the EKF alone. These techniques are: the use of the synchronous two-axis (d/sub e/-q/sub e/) frame model of the induction machine with the EKF, the inclusion of the core loss resistance to precalculate the phase currents used by the estimators, and the injection of a high frequency sine wave on the flux current reference command. These improvements are achieved without increasing the complexity of the estimation algorithms. The consequent improvements in the rotor resistance estimation are illustrated through simulation and practical implementation of a vector-controlled induction machine. A high performance digital signal processor (DSP) is used in the practical implementation.