A method for measuring dynamic performance index of robot's multi-axis wrist force sensor

A novel method based correlation wavelet for online dynamic characteristic analysis and measurement of dynamic performance index of robot wrist sensor is developed in this paper. Based on the dynamic model of the force sensor, the simulations on the correlation wavelet method for extracting the IRF of wrist force sensor in two dynamic environments are presented. The simulation results show that the correlation wavelet method exhibits obvious advantages compared with the traditional FFT method, and the accuracy of the results is greatly improved. A test with cantilever under step excitation is carried out, the results obtained by using CWT method show that the method is effective and accurate. The way for generating step excitation automatically in robotic use is proposed for on-line dynamic characteristic analysis and measurement of dynamic performance index of robot wrist sensor. An example is given to illustrate the feature of the method. The method developed in the paper provides a new and effective way to measure the dynamic performance index of robot wrist force sensor, as well as other sensors.