Motion continues to be a major impediment in clinical MRI. Using Pilot Tone to correct for motion is highly attractive as it uses inexpensive hardware and is independent from sequence. Here, we propose a model-based approach to calculate motion parameters from Pilot Tone signal. To avoid non-convergence those models are prone to, we introduce predefined displacement fields with the Pilot Tone as auxiliary, resulting in a linear motion model with fewer unknowns. Validation is performed on numerically simulated data and in-vivo measurements, comparing different motion models. Image reconstructions with the Pilot Tone showed fewer residual motion artefacts and converged faster.