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Smart hanger dynamic modeling and fuzzy controller design

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Abstract

The controlled smart hanger is an indispensable component in the automatic system for garment inspection. Fuzzy logic is chosen for the smart hanger manipulator since it can describe the human behavior remarkably well. In this paper, the dynamic model of the manipulator governing the contact force with garment fabric is first developed. An adaptive fuzzy logic PID control scheme is successfully formulated for the contact force control. Simulation results indicate that the fuzzy PID controller can yield a faster response without overshoot and a smaller error performance as compared to the traditional method based on PID. The stability of the fuzzy PID controller is also demonstrated by computer simulations.

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Authors and Affiliations

  1. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hunghom, Hong Kong

    Eric Hoi-Kwun Fung

  2. Department of Electrical Engineering, The Hong Kong Polytechnic University, Hunghom, Hong Kong

    Yiu-Kwong Wong

  3. Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hunghom, Hong Kong

    Chun-Wah Marcus Yuen & Wai-Keung Wong

Authors
  1. Eric Hoi-Kwun Fung
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  2. Yiu-Kwong Wong
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  3. Yan Ma
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  4. Chun-Wah Marcus Yuen
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  5. Wai-Keung Wong
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Corresponding author

Correspondence to Yiu-Kwong Wong.

Additional information

Yan Ma was with the Department of Mechanical Engineering, The Hong Kong Polytechnic University during this research.

Recommended by Editorial Board member Jang Myung Lee under the direction of Editor Young-Hoon Joo. This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU5170/06E).

Eric Hoi-Kwun Fung has his BSc(Eng) and Ph.D. degrees from the University of Hong Kong. His current research interests include modeling, identification and control, and their applications to machining, robotic and vehicle systems.

Yiu-Kwong Wong received his BSc and MSc degrees from the University of London, and his Ph.D. degree from the Heriot-Watt University, UK. His current research interests include modeling, simulation and intelligent control.

Yan Ma received her Ph.D. degree from Jilin University. Her current research interests include modeling and intelligent control. She is now in the Department of Control Science and Engineering, Jilin University, Chang Chun, 130025, P.R. China.

Chun-Wah Marcus Yuen gained his MSc and Ph.D. from the Queen’s University of Belfast, UK. His current research interests include textile coloration and finishing, digital textile ink-jet printing, micro encapsulation technology and nano-technology.

Wai-Keung Wong received his Ph.D. degree from the Hong Kong Polytechnic University. His research interests mainly focus on artificial intelligence, optimization algorithms as well as development of expert and decision support systems.

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Fung, E.HK., Wong, YK., Ma, Y. et al. Smart hanger dynamic modeling and fuzzy controller design. Int. J. Control Autom. Syst. 9, 691–700 (2011). https://doi.org/10.1007/s12555-011-0410-1

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  • DOI: https://doi.org/10.1007/s12555-011-0410-1

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