Alvaro-Mendoza Enrique, De León-Morales Jesús, Hamida Mohamed Assaad, Ghanes Malek
Facultad de ingenieria Mecanica y Electrica, Universidad Autónoma de Nuevo León, San Nicolas De Los Garza, 66451, Nuevo León, Mexico; Ecole Centrale de Nantes, LS2N UMR CNRS 6004, Nantes, France.
Facultad de ingenieria Mecanica y Electrica, Universidad Autónoma de Nuevo León, San Nicolas De Los Garza, 66451, Nuevo León, Mexico.
ISA Trans. 2023 Aug;139:524-547. doi: 10.1016/j.isatra.2023.05.002. Epub 2023 May 10.
This paper proposes an adaptive sensorless control based on sliding mode approach for Interior Permanent Magnet Synchronous Motor (IPMSM) using the method of the angular position estimation error extraction. The proposed strategy combines a novel Adaptive Super-Twisting Controller (ASTWC) with a novel Adaptive Observer High-Order Sliding Mode (AOHOSM), where: (i) The control and observer gains are parameterized in terms of a single parameter simplifying its implementation and reducing the tuning time. (ii) By using an auxiliary system, which does not depend on machine parameters, an AOHOSM is designed for estimating the angular position, speed and acceleration in a wide speed range of the IPMSM, (iii) and these are used in an ASTWC to track a desired reference of speed and direct-axis current. (iv) Sufficient conditions are given to ensure the stability of the closed-loop system using a Lyapunov approach. Furthermore, the proposed strategy is validated throughout experimental set-up in order to show its effectiveness. Finally, a comparative study between the proposed strategy and other strategies published in the literature is addressed.
本文提出了一种基于滑模方法的自适应无传感器控制策略，用于内置式永磁同步电机（IPMSM），该策略采用角位置估计误差提取方法。所提出的策略将一种新型自适应超扭曲控制器（ASTWC）与一种新型自适应观测器高阶滑模（AOHOSM）相结合，其中：（i）控制增益和观测器增益通过单个参数进行参数化，简化了其实现过程并减少了调整时间。（ii）通过使用一个不依赖于电机参数的辅助系统，设计了一种AOHOSM，用于在IPMSM的宽速度范围内估计角位置、速度和加速度，（iii）并将这些用于ASTWC中以跟踪期望的速度和直轴电流参考值。（iv）使用李雅普诺夫方法给出了确保闭环系统稳定性的充分条件。此外，通过实验装置对所提出的策略进行了验证，以证明其有效性。最后，对所提出的策略与文献中发表的其他策略进行了对比研究。
