基于高阶观测器的电动汽车SRM驱动位置和负载估计无传感器控制

Farha Siddique, Bhim Singh
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引用次数: 1

摘要

本文研究了一种简化无传感器控制的开关磁阻电机(SRM)的位置估计问题。电动汽车需要可靠的位置估计算法。编码器增加了整个驱动系统的成本和体积,并且容易受到电磁干扰。本文采用一种基于三阶滑模观测器(SMO)的基于磁链误差的位置估计方法。基于模型的观测器估计转子位置、角速度和角加速度。估计角加速度用于估计上述应用的负载扭矩输入。估计的位置被用来产生变换器门信号。所设计的观测器在较宽的范围内估计变量,并且在稳态下的响应具有较小的干扰和噪声。仿真结果与电机测得的位置和速度进行了比较,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher Order Observer Based Sensorless Control for Position and Load Estimation of SRM Drive for EV
This paper deals with the position estimation of a switched reluctance motor (SRM) drive with a simplified sensor-less control. The electric vehicle needs reliable position estimation algorithm. The encoder increases cost and size of overall drive system and is prone to electromagnetic disturbances. Here, a third order sliding mode observer (SMO) based position estimation methodology is employed based on flux-linkage error. The rotor position, angular speed and angular acceleration are estimated from the model based observer. Estimated angular acceleration is used to estimate the load torque input for aforesaid application. The estimated position is used to generate converter gate signals. The designed observer estimates the variables over a wide range and response has less disturbance and noises at steady state. Simulated results show the quite satisfactory results when compares to position and speed measured from the motor.
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