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Performance-Enhanced Robust Iterative Learning Control With Experimental Application to PMSM Position Tracking
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DOI：10.1109/TCST.2018.2816906.png)
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Abstract
En 中文
This brief develops an innovative robust iterative learning control law using the repetitive process setting. The new design is experimentally validated through a comprehensive set of experiments highlighting the capabilities for the position tracking control of a permanent magnet synchronous motor subject to load disturbances in the presence of uncertainties in selected parameters.
Keywords:
Iterative learning control (ILC)
permanent magnet synchronous motor (PMSM)
repetitive process stability theory
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