The Algorithm on Displacement Differences Calculation and the Error of Surface Displacement Measuring Device

Angle sensor is the core component in the surface displacement measuring device, whose manufacturing process, fixing position and internal device performance can affect the testing accuracy in many aspects. This paper would present a new displacement calculation based on coordinating transformation and employ particle swarm method to calibrate the data. Experimental results show that the amended data through this method is quite close to standard test bench data, indicating that the proposed displacement differences calculation and error correction algorithm can effectively eliminate the fixed bias of surface displacement measuring. Copyright © 2014 IFSA Publishing, S. L.

[1]  Fakheredine Keyrouz A Fast-Multiplying PSO Algorithm for Real-Time Multiple Object Tracking , 2012 .

[2]  Yiannos Manoli,et al.  Sensor Fusion Algorithm and Calibration for a Gyroscope-free IMU , 2009 .

[3]  Yujun Bao,et al.  Nonlinear Errors Correction of Pressure Sensor Based on BP Neural Network , 2009, 2009 International Workshop on Intelligent Systems and Applications.

[4]  Seong-hoon Won,et al.  A quaternion-based tilt angle correction method for a hand-held device using an inertial measurement unit , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[5]  V. Tudic Displacement sensor axis misalignment error , 2006, Proceedings ELMAR 2006.

[6]  Zeng Wenxian Non-Linear Adjustment Model of Three-Dimensional Coordinate Transformation , 2003 .

[7]  Kenichi Kanatani,et al.  Ellipse Fitting with Hyperaccuracy , 2006, IEICE Trans. Inf. Syst..

[8]  Fulvio Gini,et al.  Least Squares Estimation and Cramér–Rao Type Lower Bounds for Relative Sensor Registration Process , 2011, IEEE Transactions on Signal Processing.

[9]  Jarmo Takala,et al.  Improved indoor navigation system based on MEMS technology , 2011, ISSCS 2011 - International Symposium on Signals, Circuits and Systems.

[10]  艾晨光 Ai Chen-guang,et al.  Eccentric testing of benchmark circular grating and compensation of angular error , 2012 .

[11]  Hakan S. Kutoglu,et al.  The role of common point distribution in obtaining reliable parameters for coordinate transformation , 2006, Appl. Math. Comput..