Paper
2 May 2006 Sensorless tension control of shuttleless loom system based on support vector regression
Dong Chang Han, Woon Jae Back, Yoon Chul Lee, Sang Hwa Lee, Hyuk Jin Lee, Seok Hong Noh, Han Kil Kim, Jae Yong Park, Suk Gyu Lee, Du Hwan Chun
Author Affiliations +
Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60421A (2006) https://doi.org/10.1117/12.664599
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
Tension control of loom system are usually achieved by using loadcell sensor and powder clutch, which require additional mounting space, reduce the reliability in harsh environments and increase the cost of a loom system. Moreover, the physical properties of textile fabrics are very sensitive to several factors(temperature, humidity, radius change of warp beam etc.) which result in tension change. In this paper, a novel sensorless tension control of a shuttleless loom system based on SVR(Support Vector Regression) is presented. The sensorless tension algorithm of shuttleless loom system driven by servo motor which is robust to disturbance and tension variation. First, the modeling and dynamic behaviors of a shuttleless loom system is described. Then, different tension control strategies are analyzed and discussed. And finally, the validity and the usefulness of proposed algorithm are thoroughly verified through numerical simulation.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong Chang Han, Woon Jae Back, Yoon Chul Lee, Sang Hwa Lee, Hyuk Jin Lee, Seok Hong Noh, Han Kil Kim, Jae Yong Park, Suk Gyu Lee, and Du Hwan Chun "Sensorless tension control of shuttleless loom system based on support vector regression", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421A (2 May 2006); https://doi.org/10.1117/12.664599
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KEYWORDS
Control systems

Sensors

Servomechanisms

Computer simulations

Numerical simulations

Reliability

Environmental sensing

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