Sensorless control for IPMSMs based on a multilayer discrete-time sliding-mode observer

Yue Zhao, W. Qiao, Long Wu
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引用次数: 11

Abstract

Because of the high robustness to system structure and parameter uncertainties, discrete-time sliding-mode observer (DSMO) has become a promising candidate for sensorless digital control of interior permanent magnet synchronous machines (IPMSMs). However, it is challenging to achieve fully sliding mode under a low sampling frequency, especially for high speed and heavy load applications. In order to overcome this problem, a multilayer DSMO is proposed to estimate the rotor position from the extended back electromagnetic force (EMF). To guarantee a fast response to speed and torque variations, the width of the boundary layer of the DSMO is designed to be adaptive to speed and torque variations. A parameter adaption scheme based on control law and sliding-mode dynamics is proposed for selecting the width of the boundary layer and the observer gain. The proposed multilayer DSMO is validated by simulations and experimental results on a 150 kW IPMSM drive system used for hybrid electric vehicles.
基于多层离散滑模观测器的ipmms无传感器控制
离散滑模观测器由于对系统结构和参数不确定性具有较强的鲁棒性,已成为内部永磁同步电机(IPMSMs)无传感器数字控制的理想选择。然而,在低采样频率下实现完全滑模是具有挑战性的,特别是在高速和重载应用中。为了克服这一问题,提出了一种基于扩展反电磁力的多层DSMO来估计转子位置。为了保证对速度和转矩变化的快速响应,设计了自适应速度和转矩变化的边界层宽度。针对边界层宽度和观测器增益的选择,提出了一种基于控制律和滑模动力学的参数自适应方案。并在150kw混合动力汽车IPMSM驱动系统上进行了仿真和实验验证。
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