Abstract
In Chapter 8, an adaptive robust finite-time control is proposed for uncertain permanent magnet synchronous motor (PMSM) systems with non-linear dead-zone input. After representing the dead-zone as a linear time-varying system, an adaptive control is designed by modifying a fast terminal sliding mode surface to remedy the potential singularity problem. Neural network is adopted to compensate for the unknown dynamics. Experimental results show the improved tracking performance of the proposed method in comparison with several other controllers.
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