系统仿真学报 ›› 2016, Vol. 28 ›› Issue (6): 1445-1452.

• 仿真应用工程 • 上一篇    下一篇

输流管道振动自适应控制算法鲁棒特性研究

陈兵, 黄媛媛, 尹忠俊   

  1. 北京科技大学机械工程学院,北京 100083
  • 收稿日期:2015-01-15 修回日期:2015-04-02 出版日期:2016-06-08 发布日期:2020-06-08
  • 作者简介:陈兵(1976-),男,湖北荆州,博士,副教授,硕导,研究方向为机械动力学与控制;黄媛媛(1990-),女,湖北黄石,硕士生,研究方向为输流管道动力学及控制。
  • 基金资助:
    中央高校基本科研项目(FRF-BR-14-005A, FRF-SD-12-014A)

Robustness Research for Adaptive Control Algorithms of Pipe Conveying Fluid Vibration

Chen Bing, Huang Yuanyuan, Yin Zhongjun   

  1. School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China
  • Received:2015-01-15 Revised:2015-04-02 Online:2016-06-08 Published:2020-06-08

摘要: 两端铰支输流管道在脉动内流下可能因参数共振而发生动态失稳。采用压电陶瓷片作为控制驱动器,以梁模型为基础,建立输流管道系统的受控数学模型。针对传统PID控制器对系统参数鲁棒性较差的缺点,由Lyapunov稳定性定理,设计了模型参考自适应(MRAC)控制器和基于PD增益自适应调节的MRAC控制器,不仅使管道振动在短时间内衰减至零,且使控制器对系统参数的鲁棒性较好。数值仿真验证了这2种自适应控制器的控制效果及其对系统参数的鲁棒性。结果表明:2种自适应控制器均能有效抑制管道振动且MRAC控制器效果更佳;2种自适应控制器对系统参数的鲁棒性均较好。

关键词: 输流管道, 振动控制, 模型参考自适应控制, 鲁棒性, 仿真研究

Abstract: Pipes with supported ends may lose their dynamic stability due to parametric instability when they convey pulsating fluid. the piezoelectric actuators were taken as the control actuators, and built a controlling mathematical model of the pipeline system. Then aiming at the traditional PID controller’s poor robustness on pipeline system parameters, MRAC system and MRAC system based on adaptive gain of the PD were designed on the basis of Lyapunov stability theory, not only the vibration peak values of the pipeline system were suppressed in a short time, but also the controllers had better robustness on pipeline system parameters. Control effects of adaptive controllers were verified and robustness for pipeline system parameters of the controllers was analyzed by numerical simulation methods. Research results show that the vibration peak values of pipeline systems can be suppressed by adaptive controllers, but control effects of the MRAC controller are better than others; both of these two kinds of adaptive controllers have strong robustness on pipeline system parameters.

Key words: pipe conveying fluid, vibration control, model reference adaptive control, robustness, simulation research

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