A Superefficient Monocular Vision Dynamic Calibration Method Used for Determining the Sensitivities of Low-Frequency Linear and Vibration Angular Sensors

The linear and angular vibration sensors are essential to the motion control and measurement, which have been widely used in various industrial applications. However, the current vibration calibration methods always failed to determine their sensitivities in the low-frequency range with a high efficiency. In this letter, a new calibration method that is based on the multifrequency sinusoidal signal generation with prime ratio and excitation measurement with sine approximation fitting solution is proposed, which can significantly improve the efficiency by integrating the calibration of multiple frequencies. This method calibrates the sensitivities at different frequencies in the range from the base frequency to its ten times frequency, which only requires a single operation. Comparison experiments with the two conventional monocular vision method and laser interferometry show that the investigated method can improve the calibration efficiency by at least an order of magnitude with a similar accuracy in the 0.01-10 Hz.