Optimization Design And Static-Dynamic Characteristic Study Of Three-axis Acceleration Sensor

A new type of three-axis full sheafing strain acceleration sensor was designed. Structure optimization,finite element stress analysis,calibration method and static decoupling of sensor were studied in this paper.The structure of yielding part was optimized.yielding part is key component of sensor,static and dynamic characteristics are influenced by its main structure parameters.The influence of the main structure parameters on static and dynamic performance was studied by orthogonal experiment design and extreme analysis method.Static performance of three-axis acceleration sensor was analyzed by finite element,which assured strain distribution regulation of yielding part loaded in different direction,and proved that sensor has good line characteristic.Based on this, bridge scheme and deployment of strain gauge were assured,how to realize decoupling output was analysised in theory.Modal,harmonic response and transient etc dynamic characteristics analysis of sensor were finished in this paper.Through modal analysis,former six natural frequencies and mode shapes were obtained,through harmonic response analysis and transient analysis,amplitude frequency characteristic and dynamic dimension coupling of sensor were obtained.Static and dynamic calibration methods of three-axis sensor were designed.Static calibration of sensor was done by gravity acceleration method.Sensitivity,nonlinearity and hysterisis error,that static characteristics of three direction of sensor were abtained through static calibration.A new type precision vibration experimental table and computer automatic calibration system were designed and manufactured,which realized dynamic calibration of frequency response characteristic of sensor,frequency response curves of three directions and frequency application range of sensor were assured.Nonlinear decoupling method of multi-dimension sensor based on BP neural network was introduced.Dimension coupling is an important factor limiting measuring accuracy of acceleration sensor,in order to overcome the limitation of traditional linear decoupling,a nonlinear static decoupling method based on BP neural network was studied,by which decoupling analysis of three-axis strain gauge acceleration sensor was finished.Compared with least square method,the result indicates that the method greatly improved the decoupling accuracy.