论文信息 - Immune Algorithm Complex Method for Transducer Calibration

Immune Algorithm Complex Method for Transducer Calibration

As a key link in engineering test tasks, the transducer calibration has significant influence on accuracy and reliability of test results. Because of unknown and complex nonlinear characteristics, conventional method can't achieve satisfactory accuracy. An Immune algorithm complex modeling approach is proposed, and the simulated studies on the calibration of third multiple output transducers is made respectively by use of the developed complex modeling. The simulated and experimental results show that the Immune algorithm complex modeling approach can improve significantly calibration precision comparison with traditional calibration methods. Copyright © 2014 IFSA Publishing, S. L.

[1] Zhang Rui-hua. Research on 3 Dimentional Micro Force Sensor for Micro Assembly , 2007 .

[2] Zhu Changchun. Neural Network Hybrid Modeling Method For Transducer Calibration , 2010 .

[3] Zhao Xue-zeng. Study on identifying error model of PIGA by total least squares method , 2007 .

[4] Zhang Xinong. Support vector machine complex method for multi-dimensional sensor calibration , 2011 .

[5] Pi Guo-qiang. Application of Immune Algorithm in Network Intrusion Detection , 2011 .

[6] Fu Ming. Research progress on immune classification , 2011 .

[7] Xu Jian-cong. Research on deformation prediction for deep foundation pit based on the artificial imm une RBF neural network , 2008 .

[8] M.N. Hamidon,et al. A Novel Neural Network Model of Capacitive MEMS Accelerometers , 2008, 2008 IEEE International Conference on Semiconductor Electronics.