<p>A composite control algorithm considering the change of resonance point is proposed to address the mechanical resonance suppression in multi-inertia servo transmission systems, aiming to optimize the dynamic response speed, tracking accuracy, and robustness. Firstly, based on the mechanical and electrical coupling relationship of the motor, a multi-inertia coupling dynamic model is constructed. Considering the influence of motor resonance, a composite control strategy combining the predictive model with a three-parameter notch filter is proposed. This strategy utilizes model predictive control to optimize control inputs online. The notch filter is used for real-time estimation and active suppression of resonant frequency, reducing the impact of error signals on model performance and effectively solving the insufficient adaptability to resonant frequency changes in traditional methods. The step response time was relatively short, and its velocity response value under impact load did not exceed 502&#xa0;r/min, which was superior to other comparison algorithms, with good resonance suppression effect and dynamic control performance. This method provides a new solution for resonance suppression in digital motor servo systems, offering important technical reference value for fields such as automated production lines and motor optimization design.</p>