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All issues Volume 20 / No 6 (2019) Mechanics & Industry, 20 6 (2019) 609 References
Open Access
Issue
Mechanics & Industry
Volume 20, Number 6, 2019
Article Number 609
Number of page(s) 9
DOI https://doi.org/10.1051/meca/2019042
Published online 25 September 2019
  1. N.F. Gusarova, Optical monitoring of yarn during its processing, Opt. Zh. 68, 613 (2001) [J. Opt. Technol. 68, 613 (2007)] [Google Scholar]
  2. A.E. Cherkassky, B.J. Kit, A computer simulation of yarn breakages in the ring spinning process. Part I: Model structure, Investigation strategy, and Experimental design, J. Text. Inst. 88, 47 (1997) [CrossRef] [Google Scholar]
  3. Q. Wang, W. Ge, C. Lu, G. Zhang, H. Shen, B. Jiang, W. Sun, Yarn speed and length measurement using optical method in real time, Opt. Eng. 57, 104103 (2018) [Google Scholar]
  4. H. Su, X. Zhang, On the mechanical analysis and control for the tension system of the cylindrical filament winding, J. Text. Sci. Technol. 2, 7–15 (2016) [CrossRef] [Google Scholar]
  5. J. Huang, M.Y. Gao et al., The application of PID controller with dead zone for yarn's constant tension control system, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), Australia , 19–21 June 2013, IEEEE [Google Scholar]
  6. Q. Wang, R. Huang, C. Lu, W. Pan, Yarn break detection using an optical method in real time, J. Opt. Technol. 84, 342–346 (2017) [CrossRef] [Google Scholar]
  7. C.X. Wang, Y.Z. Wang, R.Q. Yang, H. Lu, Research on precision tension control system based on neural network, IEEE Trans. Ind. Electr. 51, 381–386 (2003) [CrossRef] [Google Scholar]
  8. N. Sejri, O. Harzallah, S.B. Amar, Influence du pré-mouillage sur les propriétés mécaniques d'un, fil encollé, Mech. Ind. 11, 385–392 (2010) [Google Scholar]
  9. V.P. Shankam, W. Oxenham, A.M. Seyam, E. Grant, G. Hodge, Wireless yarn tension measurement, and control in direct cabling process, J. Text. Inst. 100, 400–411 (2009) [CrossRef] [Google Scholar]
  10. M. Naebe, B.A. McGregor, D. Tester, Effect of yarn winding tension on the Wool ComfortMeter value when testing yarns. Text. Res. J. 85, 1198–1206 (2015) [CrossRef] [Google Scholar]
  11. M.P. Millman, M. Acar, M.R. Jackson, Computer vision for textured yarn interlace (nip) measurements at high speeds, Mechatronics 11, 1025–1038 (2001) [CrossRef] [Google Scholar]
  12. P. Zhong, Z. Kang, S. Han, R. Hu, J.Y. Pang, X.Y. Zhang, F.X. Huang, Evaluation method for yarn diameter unevenness based on image sequence processing, Text. Res. J. 85, 369–379 (2015) [CrossRef] [Google Scholar]
  13. K.C. Lin, Observer-Based tension feedback control with friction and inertia compensation, IEEE Trans. Cont. Sys. Technol. 11, 109–118 (2003) [CrossRef] [Google Scholar]
  14. D. Knittel, E. Laroche, Tension control for winding systems with two-degrees-of-freedom H∞ controllers, IEEE Trans. Ind. Appl. 39, 113–120 (2003) [CrossRef] [Google Scholar]
  15. P. Vivek, Novel Method for Dynamic Yarn Tension Measurement and Control in Direct Cabling Process, PhD thesis, North Carolina State University, Raleigh, USA, 2005 [Google Scholar]
  16. V. Gassmann, D. Knittel, P.R. Pagilla, M.A. Bueno, Fixed-order H∞ tension control in the unwinding section of a web handling system using a pendulum dancer, IEEE Trans. Cont. Syst. Technol. 20, 173–180 (2012) [Google Scholar]
  17. M. Shamsuzzoha, Closed-loop PI/PID controller tuning for stable and integrating process with time delay, Ind. Eng. Chem. Res. 52, 12973–12992 (2013) [CrossRef] [Google Scholar]
  18. R.J. Mozhdehi, A.S. Ghafari, Optimal PID control of a nano-Newton CMOS-MEMS capacitive force sensor for biomedical applications, Mech. Ind. 15, 139–145 (2014) [CrossRef] [Google Scholar]
  19. C. Anil, R.P. Sree, Tuning of PID controllers for integrating systems using direct synthesis method, ISA Trans. 57, 211–219 (2015) [Google Scholar]
  20. S. Skogestad, Simple analytic rules for model reduction and PID controller tuning, J. Process Control 13, 291–309 (2003) [Google Scholar]
  21. M. Shamsuzzoha, S. Skogestad, The set point overshoot method: A simple and fast closed-loop approach for PID Tuning, J. Process Control 20, 1220–1234 (2010) [Google Scholar]
  22. R.J. Mozhdehi, A.S. Ghafari, Optimal PID control of a nano-Newton CMOS-MEMS capacitive force sensor for biomedical applications, Mech. Ind. 15, 139–145 (2014) [CrossRef] [Google Scholar]
  23. R.P. Nachane, K.R.K. Iyre, Yarn tension as a function of extension: a new approach, Text. Res. J. 57, 279–282 (1987) [CrossRef] [Google Scholar]
  24. Z.Y. Xi, C.H. Lu, J.C. Zhang, Modeling of computer-controlled AC servo feed system, Mater. Sci. Forum 471, 216–220 (2004) [CrossRef] [Google Scholar]
  25. Q. Wang, C.H. Lu, W. Pan, IMC PID controller tuning for stable and unstable processes with time delay, Chem. Eng. Res. Des. 105, 120–129 (2016) [Google Scholar]
  26. Y. Zhang, Q.G. Wang, K.J. Astrom, Dominant pole placement for multi-loop control systems, Automatica 38, 1213–1220 (2002) [CrossRef] [Google Scholar]
  27. D. Chen, D.E. Seborg, PI/PID controller design based on direct synthesis and disturbance rejection, Ind. Eng. Chem. Res. 41, 4807–4822 (2002) [Google Scholar]
  28. M. Shamsuzzoha, M. Lee, IMC-PID controller design for improved disturbance rejection of time-delayed processes, Ind. Eng. Chem. Res. 46, 2077–2091 (2007) [Google Scholar]
  29. P. Zhang, Y. Wang, Effects of shear strain and annealing on the nano-precipitate phase and crystal orientation of 7055 aluminum alloy during cutting process. Vacuum 151, 247–253 (2018) [Google Scholar]
  30. Y. Zhang, C.H. Lu, J.K. Ma, Research on two methods for improving the axial static and dynamic characteristics of hydrostatic lead screws, Tribol. Int. 109, 152–164 (2017) [Google Scholar]
  31. Q. Li, B. Jicheng, F. Yinsheng, Z.Y. Zhang, Study of wire tension control system based on closed loop PID control in HS-WEDM, Int. J. Adv. Manuf. Technol. 82, 1089–1097 (2016) [Google Scholar]

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