The MRI gradient system heating changes its characteristics, and without a feedback system, the gradient waveform distorts resulting image artifacts. The primary effect of temperature rise in the gradient coil winding is the increase in the coil resistance. Feedforward based controllers, preferable in gradient array systems and multi-coil designs, use a linear time-invariant model. However, the gradient heating makes the system time-variant. To address this issue, we propose predicting gradient coil thermal variation using the thermal differential equation and updating feedforward controller parameters continuously.
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