Guiding of Lateral Deflection for Winding PET Films

• Main Authors: Hsien-Yi Wu, 巫憲易
• Other Authors: Chang-Chiun Huang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/05122257647365438218

碩士 === 國立臺灣科技大學 === 高分子工程系 === 93 === In the winding process of polyester (PET) films, the PET film is conveyed through a system of rollers or cylinders that supply support, transport, and control. This kind of conveyance is called a roll-to-roll apparatus. Ideally, the motion of the PET film winding process is only in a longitudinal direction. This is not the case for real conveyance systems since misalignment of rollers, lateral disturbances, unsteady speed and tension, and the films physical properties result in lateral deflection of the PET film. This lateral deflection may lead to the downgrade of product quality and material waste, damage the equipment, and produce material defects such as illegal laminating, uneven edge of slitting, slack selvedge in winding, crimping, winkle, and slant on painting, etc. The material of PET films is adopted, and the winding system is constructed by a three-roller two-span mechanism for experiments. The main objective of this thesis is to analyze and control the lateral deflection so that the lateral deflection is within the required tolerance in the winding process. In this thesis, we adopted the self-tuning neuro-PID controller and adaptive high-gain output feedback controller because the indeterminate disturbances exist in the system. Both controllers possess robustness and adaptability. The self-tuning neuro-PID controller is used to self tune the parameters of the PID controller by the backpropagation neural network method, which is based on the deviation of the output response to a target. The self learning feature of the neural network can be exploited in autotuning the PID gain parameters. The adaptive high-gain output feedback controller can tune the high-gain parameters online, which is not based on any parameter identification or estimation algorithm. This controller works well on disturbance rejection, parameter variations and system uncertainty. The investigation was tested through the computer simulation and experiments for its validity. We set up the PET film on the designed mechanism. There exists stochastic lateral disturbances in the process that cause the lateral deflection of the moving PET film. Then, the self-tuning neuro-PID controller and adaptive high-gain output feedback controller are designed to guide the lateral deflection. The results reveal that the controllers provide good guiding performance for lateral deflection and to reduce substantially the effect of disturbances on the lateral defection of winding PET films.