Fuzzy-Adaptive PID Based Tow Tension Controller for Robotic Automated Fiber Placement

Abstract:

Robotic automated fiber placement (Robotic AFP) was a cost-effective and highly innovative approach to produce large and complex composite structures. In order to achieve desired qualities, the tow tension of the process required to becontrolled accurately. Due to the high nonlinearity of the system, such as the large elastic modulus, flexibility and viscosity of the tow, traditional methods failed to work effectively. A fuzzy-adaptive PIDcontroller combining fuzzy logic and adaptive PID together was proposed in this work. Fuzzy logic was able to respond quickly to disturbances without the need for an accurate model and adaptive PID control could eliminate the steady-state error by adapting its parameters to the working conditions. With this method, the tow tension could be precisely regulated thus improved the qualities of the composite structures.

• Periodical: Applied Mechanics and Materials (Volume 643)
• Pages: 48-53
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.643.48
• Online since: September 2014
• Authors: Jie Chen, Wen Jun Xu, Ben Wang, Yu Gang Duan*, Xiao Hui Zhang
• Keywords: Adaptive PID, Fuzzy Logic, Robotic Automated Fiber Placement

References

[1] Shirinzadeh B, Alici G, Foong CW and Cassidy G, Fabrication process of open surfaces by robotic fibre placement, Robotics and Computer-Integrated Manufacturing, 2004, 20: 17–28.

DOI: 10.1016/s0736-5845(03)00050-4

[2] J. Martin, C. Grant, Automated processing technology for composites: current status and vision for the future, Automated Dynamics, Technical Paper, Nov. (2006).

[3] Grant C. Automated processes for composite aircraft structure, Industrial Robot: An International Journal, 2006, 33(2): 117-121.

DOI: 10.1108/01439910610651428

[4] Shirinzadeh B, Foong C W and Tan B H, Robotic fibre placement process planning and control, Assembly Automation, 2000, 20(4): 313-320.

DOI: 10.1108/01445150010353242

[5] Tierney J, Gillespie J W, Modeling of in situ strength development for the thermoplastic composite tow placement process, Journal of Composite Materials, 2006, 40(16): 1487-1506.

DOI: 10.1177/0021998306060162

[6] Heider D, Piovoso M J, Gillespie Jr J W, A neural network model-based open-loop optimization for the automated thermoplastic composite tow-placement system, Composites Part A: Applied Science and Manufacturing, 2003, 34(8): 791-799.

DOI: 10.1016/s1359-835x(03)00120-9

[7] RenShengle, Wang Yongzhang, Lu Hua, Su Guosen, A precision tension control system based on PIC, Materials Science Forum, 2006, 532~533: 97~100.

DOI: 10.4028/www.scientific.net/msf.532-533.97

[8] He S Z, Tan S, Xu F L, Fuzzy self-tuning of PID controllers, Fuzzy sets and systems, 1993, 56(1): 37-46.

DOI: 10.1016/0165-0114(93)90183-i