Robustness Research for Adaptive Control Algorithms of Pipe Conveying Fluid Vibration

Authors

Chen Bing, School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China;
Yuanyuan Huang, School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China;
Zhongjun Yin, School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, China;

Abstract

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.

Recommended Citation

Bing, Chen; Huang, Yuanyuan; and Yin, Zhongjun (2020) "Robustness Research for Adaptive Control Algorithms of Pipe Conveying Fluid Vibration," Journal of System Simulation: Vol. 28: Iss. 6, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss6/28

First Page

1445

Revised Date

2015-04-02

DOI Link

https://doi.org/

Last Page

1452

CLC

O35;TE832

Recommended Citation

Chen Bing, Huang Yuanyuan, Yin Zhongjun. Robustness Research for Adaptive Control Algorithms of Pipe Conveying Fluid Vibration[J]. Journal of System Simulation, 2016, 28(6): 1445-1452.