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Author:

Dekui, Xin (Dekui, Xin.) | Songlin, Nie (Songlin, Nie.) (Scholars:聂松林)

Indexed by:

EI Scopus

Abstract:

Pipeline vibration is one of the biggest security risk of hydraulic system that seriously affected the work efficiency of hydraulic system. In this paper, a hydraulic pipeline vibration reduction scheme based on semi-active control was proposed. The system is composed of single rod shear valve type MR damper, controller, driver and sensor. The controller outputs control signal through control algorithm according to the vibration information of pipeline that collected by sensors, and then the driver adjust the control current of MR damper according to the control signal of the controller. Finally, the damper's damping force was adjusted. In order to solve the problem of nonlinear and time delay in semi-active control system, an intelligent predictive feedback control strategy that based on the combination of intelligent control and predictive control was proposed. The adaptive ability of the intelligent control algorithm was used to overcome the nonlinear problem of the semi-active control system, and the predictive control algorithm was used to compensate the time delay of semi-active control system. According to the vibration information of the hydraulic pipeline, the semi-active vibration control system using intelligent predictive feedback control algorithm to control the MR damper to consume the vibration energy of the hydraulic pipeline. © by the International Institute of Informatics and Systemics.

Keyword:

Time delay Hydraulic equipment Controllers Damping Adaptive control systems Delay control systems Vibration control Intelligent control Feedback control Magnetorheological fluids Pipelines

Author Community:

  • [ 1 ] [Dekui, Xin]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Songlin, Nie]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing; 100124, China

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Source :

Year: 2017

Volume: 1

Page: 181-185

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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