• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 25 Issue 2
Mar.  2012
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Article Contents
JIANG Xiaoxia. Synchronization Control of Electro-hydraulic Servo System Based on Single Neuron[J]. Journal of Southwest Jiaotong University, 2012, 25(2): 258-264. doi: 10.3969/j.issn.0258-2724.2012.02.015
Citation: JIANG Xiaoxia. Synchronization Control of Electro-hydraulic Servo System Based on Single Neuron[J]. Journal of Southwest Jiaotong University, 2012, 25(2): 258-264. doi: 10.3969/j.issn.0258-2724.2012.02.015

Synchronization Control of Electro-hydraulic Servo System Based on Single Neuron

doi: 10.3969/j.issn.0258-2724.2012.02.015
  • Received Date: 16 Apr 2010
  • Rev Recd Date: 19 Oct 2011
  • Publish Date: 25 Apr 2012
  • In order to probe into the synchronization control of an electro-hydraulic servo system, a large platform with four hydraulic cylinders was taken as the research object, and the four hydraulic cylinders were identified mathematically with experiment data, and the adaptive neuron technique was employed to realize the synchronization control. Two strategies of virtual master cylinder and hybrid neural synchronization control were proposed. The simulation results show that the strategy of virtual master cylinder can achieve a desirable synchronization performance, the maximum synchronization error is 0.260 6 mm, but it needs to build the mathematical model of one hydraulic cylinder. The strategy of hybrid neural synchronization control does not need to build the mathematical model and can achieve a relative good synchronization control performance by adjusting parameters to minimize synchronization error, and the maximum synchronization error is 0.431 3 and 0.382 5 mm respectively under the sinusoidal input signals of 3 and 8 Hz.

     

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