In this paper, an iterative learning control (ILC) method with a configuration of feedback is proposed to achieve precise tracking control of a permanent magnet linear motor(PLMM) system over a finite time interval. The feedback configuration could improve the learning speed and guarantee the stability of the system, while the ILC feedforward control enhances the trajectories tracking performance by capitalizing on the experience gained from the repeated execution of the same operation. The method is suitable for real-time and repetitive motion control. It is model-free. The various highlights of the proposed method will be elaborated by the simulation examples.
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