电动汽车电机转速估计方法研究

Research on Motor Speed Estimation Method for Electric Vehicles

该文对几种常见的无速度传感器电机控制方法进行了研究介绍,并按照其参数的鲁棒性和系统抗干扰能力进行分类。完全依赖电机物理参数和电磁方程的转速估计算法参数鲁棒性差,算法抗噪能力弱。部分依赖电机参数和电磁方程的转速估计算法分为4种方法,重点介绍了模型参考自适应方法,并对模型参考自适应和滑膜观测器算法进行了仿真。阐述了独立于电机参数和电磁方程的转速估计算法的两种高频信号算法和一些人工智能算法,总结了各个算法的优缺点和适用性。

The common speed sensor-less motor control methods are introduced and classified according to parameter robustness and system anti-interference ability. Completely dependent on the physical parameters of the motor and the electromagnetic equation speed estimation algorithms have poor robustness and weak anti-noise ability. Partially dependent on the physical parameters of the motor and the electromagnetic equation speed estimation algorithms are divided into four methods. The model reference adaptation system(MRAS) is introduced, and the model reference adaptive system and sliding mode observer are simulated. Two high-frequency signal algorithms and some artificial intelligence algorithms independent of the physical parameters of the motor and the electromagnetic equation speed estimation algorithms are described. The advantages, disadvantages and applicability of each algorithm are summarized.