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Fuzzy iterative learning control of electro-hydraulic servo system for SRM direct-drive volume control hydraulic press

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Abstract

A new kind of volume control hydraulic press that combines the advantages of both hydraulic and SRM (switched reluctance motor) driving technology is developed. Considering that the serious dead zone and time-variant nonlinearity exist in the volume control electro-hydraulic servo system, the ILC (iterative learning control) method is applied to tracking the displacement curve of the hydraulic press slider. In order to improve the convergence speed and precision of ILC, a fuzzy ILC algorithm that utilizes the fuzzy strategy to adaptively adjust the iterative learning gains is put forward. The simulation and experimental researches are carried out to investigate the convergence speed and precision of the fuzzy ILC for hydraulic press slider position tracking. The results show that the fuzzy ILC can raise the iterative learning speed enormously, and realize the tracking control of slider displacement curve with rapid response speed and high control precision. In experiment, the maximum tracking error 0.02 V is achieved through 12 iterations only.

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Authors and Affiliations

  1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Jian-ming Zheng  (郑建明), Sheng-dun Zhao  (赵升吨) & Shu-guo Wei  (魏树国)

  2. School of Mechanical Instrumental Engineering, Xi’an University of Technology, Xi’an, 710048, China

    Jian-ming Zheng  (郑建明)

Authors
  1. Jian-ming Zheng  (郑建明)
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  2. Sheng-dun Zhao  (赵升吨)
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  3. Shu-guo Wei  (魏树国)
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Corresponding author

Correspondence to Jian-ming Zheng  (郑建明).

Additional information

Foundation item: Project(2007AA04Z144) supported by the National High-Tech Research and Development Program of China; Project(2007421119) supported by the China Postdoctoral Science Foundation

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Zheng, Jm., Zhao, Sd. & Wei, Sg. Fuzzy iterative learning control of electro-hydraulic servo system for SRM direct-drive volume control hydraulic press. J. Cent. South Univ. Technol. 17, 316–322 (2010). https://doi.org/10.1007/s11771-010-0048-9

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  • DOI: https://doi.org/10.1007/s11771-010-0048-9

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