航空学报 > 2014, Vol. 35 Issue (3): 868-877   doi: 10.7527/S1000-6893.2013.0417

复合材料布带缠绕成型压力控制技术

何晓东, 史耀耀, 赵鹏兵   

  1. 西北工业大学 机电学院, 陕西 西安 710072
  • 收稿日期:2013-09-10 修回日期:2013-10-13 出版日期:2014-03-25 发布日期:2013-10-21
  • 通讯作者: 史耀耀,Tel.:029-88492851 E-mail:shiyy@nwpu.edu.cn E-mail:shiyy@nwpu.edu.cn
  • 作者简介:何晓东 男,博士研究生。主要研究方向:复合材料缠绕铺放工艺及装备控制技术。Tel:029-88492851 E-mail:aqiqia@gmail.com;史耀耀 男,博士,教授,博士生导师。主要研究方向:复合材料缠绕铺放工艺及装备控制技术、专用数控工艺装备、加工表面光整技术。Tel:029-88492851 E-mail:shiyy@nwpu.edu.cn
  • 基金资助:

    国家自然科学基金(51375394)

Control Technology of Composite Tape Winding Pressure

HE Xiaodong, SHI Yaoyao, ZHAO Pengbing   

  1. School of Mechatronics, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2013-09-10 Revised:2013-10-13 Online:2014-03-25 Published:2013-10-21
  • Supported by:

    National Natural Science Foundation of China (51375394)

摘要:

复合材料布带缠绕成型过程中的压力波动会影响制品的致密度和均匀度,同时会造成缠绕制品的界面强度及纤维体积分数不一致。芯模的圆度误差和安装误差会导致压力波动,气体的可压缩性、比例阀的死区效应、阀的流量非线性、气缸摩擦力及测量噪声会对缠绕压力控制造成非线性干扰。因此,设计了自适应灰色预测模糊PID控制器,通过对气缸输出缠绕压力的灰色预测,正确反映了压力信号的变化趋势,为模糊PID控制的推理提供了可靠依据。同时,采用两个独立的模糊推理系统来调节预测控制的步长和步长自整定算法的比例因子。仿真分析和实验结果表明:相比于传统PID控制,采用自适应灰色预测模糊PID控制使缠绕压力的稳态误差减小了62%,超调量减小了80%,有效提高了复合材料缠绕成型压力控制系统的稳定性。

关键词: 复合材料, 缠绕压力, 气压传动, 灰色预测, 模糊控制

Abstract:

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.

Key words: composite materials, winding pressure, pneumatic drive, gray prediction, fuzzy control

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