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State estimation of the Switched Reluctance Motor MFR 132.5 with MHE and UKF Estimators

机译:使用MHE和UKF估计器的开关磁阻电机MFR 132.5的状态估计

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摘要

The measure of the instant angular position of the rotor is integral part of the control of Switching Reluctance Motor drivers. The direct measurement of this variable adds complexity and cost to the system and it doesn't give good results sometimes. This has motivated the development of estimators for the rotor angular position of the SRM. In this paper are presented a Moving Horizon Estimator and an Unscented Kalman Filter for estimating the speed and rotor angular position of the SRM MFR 132.5. Both estimators are based on a grey box model of the motor, also presented in this paper. It was carried out the simulation on PC of the designed estimators for estimating the speed and the angular position of the rotor under different motor operation conditions and considering an error in the initial estimation of the angular position and noisy measurements.
机译:转子瞬时角位置的测量是开关磁阻电机驱动器控制的组成部分。直接测量此变量会增加系统的复杂性和成本,并且有时效果不佳。这激励了用于SRM的转子角位置的估计器的发展。在本文中,提出了用于估计SRM MFR 132.5的速度和转子角位置的运动层估计器和无味卡尔曼滤波器。两种估计器均基于本文介绍的电动机的灰箱模型。在设计的估算器的PC上进行了仿真,以估算不同电动机运行条件下转子的速度和角位置,并考虑了角位置和噪声测量的初始估算中的误差。

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