Fuzzy Identification Method for Mechanical Joint Parameters Based on Transfer Function

To identify the parameters of a mechanical joint precisely, a new method based on transfer function and fuzzy optimization was proposed. The theoretical formulas and numerical analysis were presented. The numerical results demonstrate that the new method overcomes the disadvantages of the least square method and is more accurate. The presented example shows that the identification error is not larger than 5.2% under the condition that the with a maximum random error is 5% in the transfer function.