TY - JOUR
T1 - Control technology of composite tape winding pressure
AU - He, Xiaodong
AU - Shi, Yaoyao
AU - Zhao, Pengbing
PY - 2014/3
Y1 - 2014/3
N2 - Pressure fluctuation will affect the density and uniformity of the winding products during a composite tape winding process, which also results in their inconsistency in interface strength and fiber volume fraction. The roundness error and installation error in the mandrel will lead to pressure fluctuation, and the gas compressibility, proportion valve dead-time effect, valve nonlinear flow, cylinder friction, measurement noise will all create nonlinear interference to winding pressure control. In view of these factors, a grey-prediction-based adaptive fuzzy PID controller is proposed. The pressure signal trend will be reflected accurately via the grey prediction of winding pressure, which provides a reliable basis for the inference of fuzzy PID control. Simultaneously, the predictive control step and the scaling factor of a self-tuning algorithm are adjusted by two other fuzzy controllers separately. Simulation analysis and experimental results show that by using the grey-prediction-based adaptive fuzzy PID control, the winding pressure overshoot decreases by 62%, and steady-state error decreases by 80%. Compared with the traditional PID control, the stability of the composite tape winding pressure control system is effectively improved by the prediction-based adaptive fuzzy PID controller.
AB - Pressure fluctuation will affect the density and uniformity of the winding products during a composite tape winding process, which also results in their inconsistency in interface strength and fiber volume fraction. The roundness error and installation error in the mandrel will lead to pressure fluctuation, and the gas compressibility, proportion valve dead-time effect, valve nonlinear flow, cylinder friction, measurement noise will all create nonlinear interference to winding pressure control. In view of these factors, a grey-prediction-based adaptive fuzzy PID controller is proposed. The pressure signal trend will be reflected accurately via the grey prediction of winding pressure, which provides a reliable basis for the inference of fuzzy PID control. Simultaneously, the predictive control step and the scaling factor of a self-tuning algorithm are adjusted by two other fuzzy controllers separately. Simulation analysis and experimental results show that by using the grey-prediction-based adaptive fuzzy PID control, the winding pressure overshoot decreases by 62%, and steady-state error decreases by 80%. Compared with the traditional PID control, the stability of the composite tape winding pressure control system is effectively improved by the prediction-based adaptive fuzzy PID controller.
KW - Composite materials
KW - Fuzzy control
KW - Gray prediction
KW - Pneumatic drive
KW - Winding pressure
UR - http://www.scopus.com/inward/record.url?scp=84898882025&partnerID=8YFLogxK
U2 - 10.7527/S1000-6893.2013.0417
DO - 10.7527/S1000-6893.2013.0417
M3 - 文章
AN - SCOPUS:84898882025
SN - 1000-6893
VL - 35
SP - 868
EP - 877
JO - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
JF - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
IS - 3
ER -