This article presents a sensorless control for the permanent-magnet linear synchronous motor (PMLSM) under the energy-feeding mode in vehicle regenerative suspension. The proposed method is based on a multiple-iterative search algorithm to obtain a limited quantity of mover position signals (electrical angle) precisely, which are utilized to observe the d-axis back electromotive force (EMF). Then, the optimal mover position signal selected from the estimated mover position is restrained by the cost function applied in the multiple-iteration search algorithm. The accuracy of the mover position signal increases geometrically in the effect of an increase in the iterations. The proposed search algorithm is superior to the existing search algorithm in the terms of the computational burden. Different from the conventional phase-locked loop (PLL), the new strategy removes the need for a proportional-integral controller. The proposed control method and the conventional control method are experimentally tested under different conditions. Results prove that the proposed PLL has the effectiveness to realize the estimated parameters corresponding to the actual parameters.

中文翻译：

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汽车再生悬架中直线电机的多次迭代搜索无传感器控制


本文提出了车辆再生悬架能量馈送模式下永磁直线同步电机（PMLSM）的无传感器控制。该方法基于多次迭代搜索算法来精确获得有限数量的动子位置信号（电角），并利用这些信号来观测d轴反电动势（EMF）。然后，通过多次迭代搜索算法中应用的成本函数来限制从估计的动子位置中选择的最佳动子位置信号。由于迭代次数的增加，动子位置信号的精度呈几何级数增加。所提出的搜索算法在计算负担方面优于现有的搜索算法。与传统的锁相环（PLL）不同，新策略不需要比例积分控制器。所提出的控制方法和传统的控制方法在不同条件下进行了实验测试。结果证明，所提出的锁相环能够有效地实现估计参数与实际参数的对应。