| The accelerometer is an important part of the high-end power device,and it is widely used in building structure monitoring,rotating equipment fault diagnosis and servo control,its dynamic characteristics directly affect the application of accelerometer system function,and the uncertainty is the basis for measuring the accuracy of the dynamic characteristic parameter estimation therefore,It is necessary to study the method of assessing the uncertainty of dynamic characteristics of accelerometer.The traditional second-order model of accelerometer ignores the nonlinear part of the accelerometer.Regarding the non-linear characteristics as a random factor can not meet the high-precision needs,and the accelerometer single frequency vibration calibration process which does not consider the input signal error will influences on parameter identification results,so it can not meet the accuracy requirement,therefore,the research of accelerometer dynamic model and its parameters uncertainty evaluation is of great significance and value.Aiming at the shortcomings of traditional second-order accelerometer model,this paper proposes a hybrid structure model of an accelerometer.To solve the problem of complex model uncertainty evaluation,Monte Carlo method is used on the accelerometer dynamic characteristics parameters uncertainty evaluation,and GPU is used to accelerate the algorithm.The uncertainty evaluation algorithm is integrated into the Lab VIEW application,and accelerometer dynamic characteristic parameter uncertainty evaluation software is designed.Experiments and results show that the accelerometer hybrid structure model proposed in this paper can describe the dynamic characteristics of the accelerometer more accurately to meet the high precision requirements;The uncertainty of the dynamic characteristic parameters given by the accelerometer can provide a reference for the accelerometer dynamic calibration;The uncertainty Evaluation system of accelerometer’s dynamic characteristic parameters according to the functional requirements have good versatility and friendliness. |