Weighted Optimization-Based Six-DOF Vibration Control with Input Saturation Constraint for Quantum Sensors

Quantum sensors have attracted considerable interest due to their remarkable sensitivity in measurement applications. Nonetheless, the complex and variable vibration environment frequently represents a significant obstacle to the improvement in accuracy. The paper proposes a six-degrees-of-freedom active-passive composite vibration isolation system utilizing weighted optimization, which can be broadly applied to mitigate vibrations in quantum sensors. The controller's weight can be adjusted according to the vibration response of the sensor, thereby minimizing the impact of comprehensive vibrations under the input saturation constraint. Subsequently, the SERF co-magnetometer, a typical quantum instrument, is taken as an example for thorough simulation analysis. Results demonstrate that this method attenuates vibration acceleration by over 60% compared with passive vibration isolation and declines vibration velocity by more than 80% relative to the ground level, achieving a maximum suppression of 98%.