Adaptive Vibration Suppression in High-Speed Precision Drives Using Multi-Modal Sensor Fusion and Actuator Parameter Tuning

High-speed precision drive systems, such as servo motors and fast-steering platforms, are often affected by coupled torsional and bending vibrations. These vibrations reduce system stability, prolong settling time, and limit achievable control bandwidth, particularly in applications requiring high precision and rapid response. This study aims to develop a simulation-based adaptive vibration suppression approach capable of simultaneously mitigating torsional and bending vibrations while enhancing dynamic performance and control accuracy in high-speed precision drive systems. A simulation model of a high-speed precision drive system was developed by integrating a distributed multi-modal sensor network with an adaptive control strategy. The system incorporates fiber Bragg grating (FBG) strain sensors, piezoelectric torque sensors, and MEMS accelerometers to monitor vibration modes. A real-time sensor-fusion algorithm identifies dominant vibration frequencies and modes, and an adaptive PD controller dynamically adjusts actuator parameters—such as torque limits, damping coefficients, and phase compensation—based on the simulated structural response under different disturbance scenarios. Simulation results clearly demonstrate the effectiveness of the proposed method. Time-domain analysis shows that peak torsional vibration amplitudes are reduced by 65%, while bending vibration amplitudes are reduced by 58%. RMS analysis indicates that torsional vibrations decrease from 0.021 rad to 0.008 rad, and bending vibrations decrease from 0.018 m to 0.007 m. In addition, the adaptive control strategy improves settling time by 40% and provides a more stable steady-state response compared to conventional fixed-gain controllers. The results confirm that the proposed simulation-based adaptive vibration suppression system effectively reduces multi-mode vibrations and enhances system stability. By combining distributed sensing, real-time modal analysis, and adaptive actuator tuning within a simulation framework, the approach provides a robust and efficient solution, demonstrating strong potential for the development of self-sensing and self-tuning high-speed precision drive systems.