4.7 Article

An event-triggered based robust control for electro-hydraulic servo machines with active disturbances rejection

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2022.02.037

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资金

  1. National Key Research and Development Program of China [2020YFB2009900]
  2. National Natural Science Foundation of China [51975376]
  3. Natural Science Foundation of Shanghai , China [19ZR1435400]

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This paper investigates the challenges in the control of networked electro-hydraulic servo systems and proposes the use of event-triggered scheme, state observer, and nonlinear disturbance observer. Experimental results demonstrate the effectiveness of the proposed methods.
From an interdisciplinary perspective, the event-triggered scheme, the state observer, and the nonlinear disturbance observer are introduced in a robust tracking control to study the networked electro-hydraulic servo system control problems with digital communication challenge, sensor installation restricted problem, matched modeling uncertainties, and mismatched disturbances. Control packets are likely to be delayed or even lost in the networked control system when the communication medium is shared by multiple nodes and the available communication bandwidth is limited. Therefore, it is necessary to save communication resources. To improve the control performance and the efficiency of the network resource utilization, the event-triggered scheme is introduced. Specifically, the practical application of the event-triggered scheme in an actual electro-hydraulic servo system is a breakthrough in this paper. In addition, to obtain the real-time states of the unmeasurable system and compensate for both matched disturbances and external disturbances simultaneously, the state observer and the nonlinear disturbance observer are collaboratively designed. Finally, to evaluate the control performance of the designed controller, the related comparative experiments are carried out in an actual system. The results show that theoretical analysis and experimentation are cross verified.(c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

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