A novel method of extending the linearity range of linear variable differential transformer using artificial neural network

IEEE Transactions on Instrumentation and Measurement

Volumn 59, Issue 4, 2010, Pages 947-953

  Mishra, Saroj Kumar ^a   Panda, Ganapati ^b   Das, Debi Prasad ^c  

^a Aricent Technologies   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY BHUBANESWAR   (India)

^c CSIR INSTITUTE OF MINERALS AND MATERIALS TECHNOLOGY   (India)

Author keywords

Artificial neural network (ANN); Functional link ANN (FLANN); Linear variable differential transformer (LVDT); Nonlinearity compensation; Sensor nonlinearity

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FUNCTIONAL LINKS; LINEAR VARIABLE DIFFERENTIAL TRANSFORMER; NON-LINEARITY COMPENSATION; SENSOR NONLINEARITY;

COMPUTER SIMULATION; ELECTRIC VARIABLES MEASUREMENT; LINEARIZATION; SENSORS; WINDING;

NEURAL NETWORKS;

EID: 77949425197     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2031385     Document Type: Article

References (13)

1. H. K. P. Neubert, Instrument Transducers: An Introduction to Their Performance and Design, 2nd ed. New Delhi, India: Oxford Univ. Press, 2003.
2. Y. Kano, S. Hasebe, and H. Miyaji, "New linear variable differential transformer with square coils," IEEE Trans. Magn., vol.26, no.5, pp. 2020- 2022, Sep. 1990.
3. S. C. Saxena and S. B. L. Seksena, "A self-compensated smart LVDT transducer," IEEE Trans. Instrum. Meas., vol.38, no.3, pp. 748-753, Jun. 1989.
4. G. Y. Tian, Z. X. Zhao, R. W. Baines, and N. Zhang, "Computational algorithms foe linear variable differential transformers (LVDTs)," Proc. Inst. Elect. Eng.-Sci. Meas. Technol., vol.144, no.4, pp. 189-192, Jul. 1997.
5. D. Crescini, A. Flammini, D. Marioli, and A. Taroni, "Application of an FFT-based algorithm to signal processing of LVDT position sensors," IEEE Trans. Instrum. Meas., vol.47, no.5, pp. 1119-1123, Oct. 1998.
6. R.M. Ford, R. S.Weissbach, and D. R. Loker, "A novel DSP-based LVDT signal conditioner," IEEE Trans. Instrum. Meas., vol.50, no.3, pp. 768- 774, Jun. 2001.
7. J. C. Patra, A. C. Kot, and G. Panda, "An intelligent pressure sensor using neural networks," IEEE Trans. Instrum. Meas., vol.49, no.4, pp. 829- 834, Aug. 2000.
8. J. C. Patra, A. van den Bos, and A. C. Kot, "An ANN-based smart capacitive pressure sensor in dynamic environment," Sens. Actuators A, Phys., vol. 86, no. 1/2, pp. 26-38, Oct. 30, 2000.
9. S. K. Mishra, G. Panda, D. P. Das, S. K. Pattanaik, and M. R. Meher, "A novel method of designing LVDT using artificial neural network," in Proc. IEEE Conf. ICISIP, Jan. 2005, pp. 223-227.
10. J. C. Patra and R. N. Pal, "A functional link artificial neural network for adaptive channel equalization," Signal Process., vol.43, no.2, pp. 181- 195, May 1995.
11. J. C. Patra, R. N. Pal, R. Baliarshing, and G. Panda, "Nonlinear channel equalization for QAM signal constellation using artificial neural network," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol.29, no.2, pp. 262-271, Apr. 1999.
12. B. Widrow and S. D. Sterns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
13. A. Flammini, D. Marioli, E. Sisinni, and A. Taroni, "Least mean square method for LVDT signal processing," IEEE Trans. Instrum. Meas., vol.56, no.6, pp. 2294-2300, Dec. 2007.