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A resilient adaptive sliding mode observer for sensorless AC salient pole machine drives based on an improved HF injection method

机译:基于改进的HF注入方法的无传感器交流凸极电机驱动器的弹性自适应滑模观察器

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In high frequency (HF) injection methods, classical tracking algorithms are used to estimate the rotor position for sensorless alternating current (AC) salient pole machines. These algorithms were dependent on AC machine inductances which are characterized by their large variations. To overcome this dependency, a new approach based on using only the sign of the rotor position estimation error (instead of using rotor position estimation error) is proposed. This approach has also the advantage of removing the low-pass filter (LPF) used to separate the HF component from the rotor position information. Consequently, only the first order sliding mode observer can be employed to estimate the rotor position, as only the sign of the rotor position estimation error is known. To avoid the well known chattering phenomena of this observer, an adaptive step-by-step sliding mode observer is proposed as an alternative solution to estimate the rotor position of the machine. The stability study of the proposed observer is analyzed both in transient/steady state ranges and a procedure for gains tuning is then given. The performance of the proposed algorithm is tested on simulation and experimentally in the framework of a representative small-scale electric propulsion benchmark, used in automotive applications. Moreover, a comparison study is conducted with respect to some existing tracking algorithms in order to illustrate the well-founded of the designed algorithm.
机译:在高频(HF)注入方法中,经典的跟踪算法用于估计无传感器交流(AC)凸极电机的转子位置。这些算法取决于交流电机的电感,这些电感的变化很大。为了克服这种依赖性,提出了一种仅使用转子位置估计误差的符号(而不是使用转子位置估计误差)的新方法。这种方法还具有消除用于将HF分量与转子位置信息分开的低通滤波器(LPF)的优势。因此,由于仅已知转子位置估计误差的符号,因此只能采用一阶滑模观察器来估计转子位置。为了避免该观察器的众所周知的颤动现象,提出了一种自适应的逐步滑模观察器,作为估计电机转子位置的替代解决方案。在瞬态/稳态范围内分析了提出的观测器的稳定性研究,然后给出了增益调整的程序。拟议算法的性能已在汽车应用中使用的代表性小型电动推进基准测试框架内进行了仿真和实验测试。此外,针对一些现有的跟踪算法进行了比较研究,以说明所设计算法的基础。

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