机电传感器通常用于获取转子位置/速度的内置式永磁同步电机（ IPMSMs ）的高性能控制

车辆系统。然而，使用这些传感器中的增加的成本，尺寸，重量，布线复杂性并减少了IPMSM驱动系统的机械鲁棒性。这些问题连同

一些实用的要求，例如，调速范围广，极端

环境温度和不利的负载条件下，使传感器控制方案可取。本文提出了一种扩展的反电动势（ EMF ）为基础的滑模

转子位置观测器IPMSMs的无传感器矢量控制。

基于滤波器的特性，一个强大的补偿算法的开发，以改善滑动方式观测器（SMO）的性能。多级滤波器和双滤波器的计划被设计的补偿算法，以进一步改善稳态和瞬态性能，分别。建议SMO和补偿算法通过在MATLAB的Simulink仿真，以及对实验进行验证

实用的永磁同步电动机驱动系统-Electromechanical sensors are commonly used to obtain rotor position/speed for high-performance control of interior permanent magnet synchronous machines (IPMSMs) in

vehicle systems. However, the use of these sensors increases the cost, size, weight, wiring complexity and reduces the mechanical robustness of IPMSM drive systems. These issues, together with

some practical requirements, e.g., wide speed range, extreme

environment temperature, and adverse loading conditions, make a sensorless control scheme desirable. This paper proposes an extended back electromotive force (EMF)-based sliding mode

rotor position observer for sensorless vector control of IPMSMs.

Based on filter characteristics, a robust compensation algorithm is developed to improve the performance of the sliding-mode observer (SMO). Multistage-filter and dual-filter schemes are designed to further improve the steady-state and transient performance, respectively, of the compensation algorithms. The proposed SMO and c