International Journal of Electronics and Electrical Engineering IJEEE

ISSN: 2231-5284

ijcct journal

Abstracting and Indexing

Google Scholar Ratings h-index:

Crossref logo
IIMT Bhubaneswar

IJEEE

APPROXIMATION OF HYSTERESIS DENSITY FUNCTION IN STRETCH SENSOR


VIPIN S. VIBHUTE
D.Y. Patil College of Engineering, Akurdi, Pune – 411 044

ABHAY KSHIRSAGAR
Vivekanand Education Society’s Institute of Technology, Chembur, Mumbai – 400 071


Abstract

Stretch SensorTM developed by Images Scientific Instruments Inc, USA, is a unique polymer component that changes resistance when stretched. When sensor is stretched and released it exhibits hysteresis and large relaxation time. For identification of hysteresis and relaxation, Preisach model is a very well-known method. Experiments are carried out using tension tester and the experimental data is used for identification. Modified Preisach model is used for relaxation identification and the experimental data is discretized for analysis of relaxation. Identification is based on first reversal curve of major hysteresis loop and noise error of sensor. It has been observed that if sensor is used in pre-stretch conditions, relaxation time is reduced. Also more the iterations of stretch, hysteresis is reduced and sensor output error is also reduced. Hysteresis and relaxation time cannot be eliminated because they are inherent properties of polymer but can be compensated under specific conditions. Compensation is useful for calibration of the sensor.

Recommended Citation

[1] http://en.wikipedia.org/wiki/Preisach_model_of_hysteresis.

[2] Stretch Sensor TM developed by Images Scientific Instruments Inc. 109 Woods of Arden Road, Staten Island, NY 10312,US (http://www.imagesco.com).

[3] http://itp.nyu.edu/physcomp/sensors/Reports/StretchSensor

[4] Sina Valadkhan, Kirsten Morris, Amir Khajepour, “A Review and Comparison of Hysteresis Models for Magnetostrictive Materials”, Journal of Intelligent Material Systems and Structures, 2006.

[5] I. Mayergoyz and G. Bertotti (Eds.), “Mathematical Models of Hysteresis”, The Science of Hysteresis Volume 1, ISBN: 0-123-69431-0, 3 volume set ISBN: 0-1248-0874-3, Elsevier Inc, 2005.

[6] Mohammed Rabius Sunny, “Towards Structural Health Monitoring of Gossamer Structures Using Conductive Polymer Nanocomposite Sensors”, Ph. D., Faculty of the Virginia Polytechnic Institute and State University, June 25, 2010.

[7] Yung Ting, “Design and Control of A 6DOF Stewart-type Nanoscale Platform”, Ph. D. thesis, Department of Mechanical Engineering, Chung Yuan Christian University, Taiwan, R.O.C, 2006.

[8] Matthew E. Shirley and Ram Venkataraman, “On the Identification of Preisach Measures”, Texas Tech University Department of Mathematics and Statistics, Lubbock, TX 79409-1042.

[9] Mohammad Reza Zakerzadeh, Mohsen Firouzi, Hassan Sayyaadi, Saeed Bagheri Shouraki, “Hysteresis Nonlinearity Identification Using New Preisach Model-Based Artificial Neural Network Approach”, Research Article, Hindawi Publishing Corporation, Journal of Applied Mathematics, Volume 2011, Article ID 458768, doi:10/115/2011/458768.

[10] L. Lei, K. K. Tan, S. Huang, T. H. Lee, “Online Parameter Estimation and Compensation of Preisach Hysteresis by SVD updating”, International Federation of Automatic Control (IFAC), Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2, 2011

[11] A. Ktena , D.I. Fotiadis , P.D. Spanos , C.V. Massalas, “A Preisach model identification procedure and simulation of hysteresis in ferromagnets and shape-memory alloys”, Physica B 306 (2001) 84–90, Elsevier Science B.V. PII: S 0921-4526(01)00983-8, 2001.

Download pdf viewer for your browser, if the PDF cannot be displayed.