Fuzzy control of direct-driven hydraulic drive without conventional oil tank

T. Minav, M. Pietola, D. M. Filatov, A. V. Devyatkin, J. Heikkinen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

The direct-driven hydraulic drive (DDH) combines the advantages of compact high power of the hydraulic system and flexible control of the electric motor. This paper concentrates on modelling of the direct-driven hydraulic setup and investigating control challenges. In the DDH setup, the speed and position control of a double-Acting cylinder is implemented directly with a Synchronous Torque Motor drive in a close-loop system without conventional valve-control. In addition to this, hydraulic accumulator is employed as a replacement of the conventional oil tank. To achieve excellent control capabilities, a fuzzy controller is designed to control the rotation speed of the motor drive. The system is investigated by means of simulations. As a result, designed controller benefits the hydraulic system.

Original languageEnglish
Title of host publicationProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
PublisherIEEE
Pages444-447
Number of pages4
ISBN (Electronic)9781538618103
DOIs
Publication statusPublished - 6 Jul 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Soft Computing and Measurements - St Petersburg, Russian Federation
Duration: 24 May 201726 May 2017
Conference number: 20

Conference

ConferenceIEEE International Conference on Soft Computing and Measurements
Abbreviated titleSCM
CountryRussian Federation
CitySt Petersburg
Period24/05/201726/05/2017

Keywords

  • direct-drive hydraulic drive
  • fuzzy control

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  • Cite this

    Minav, T., Pietola, M., Filatov, D. M., Devyatkin, A. V., & Heikkinen, J. (2017). Fuzzy control of direct-driven hydraulic drive without conventional oil tank. In Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 (pp. 444-447). [7970612] IEEE. https://doi.org/10.1109/SCM.2017.7970612