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Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm

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Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm. / Gu, Jun; Taylor, James; Seward, Derek.
In: Journal of Control Theory and Applications, Vol. 5, No. 4, 11.2007, p. 391-396.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Gu J, Taylor J, Seward D. Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm. Journal of Control Theory and Applications. 2007 Nov;5(4):391-396. doi: 10.1007/s11768-006-6180-2

Author

Gu, Jun ; Taylor, James ; Seward, Derek. / Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm. In: Journal of Control Theory and Applications. 2007 ; Vol. 5, No. 4. pp. 391-396.

Bibtex

@article{b8822f8233fd4ac6801a751abb69fc9e,
title = "Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm",
abstract = "Instead of the establishing the mathematical hydraulic system models from the physical laws as usual with the problems of complex modelling process, low reliability and practicality caused by large uncertainties, a novel modelling method for a highly nonlinear system of hydraulic excavator is presented. Based on the data collected in the excavator{\textquoteright}s arms driving experiments, a data based excavator dynamic model using Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithms is established. The validity of the proposed data based model is indirectly demonstrated by the performance of computer simulation and the real machine motion control experiments.",
keywords = "Hydraulic excavator, Nonlinear dynamics, Data based model, Simplified refined instrumental variable algorithm",
author = "Jun Gu and James Taylor and Derek Seward",
year = "2007",
month = nov,
doi = "10.1007/s11768-006-6180-2",
language = "English",
volume = "5",
pages = "391--396",
journal = "Journal of Control Theory and Applications",
issn = "1672-6340",
publisher = "Springer Science and Business Media Deutschland GmbH",
number = "4",

}

RIS

TY - JOUR

T1 - Modelling of an hydraulic excavator using simplified refined instrumental variable (SRIV) algorithm

AU - Gu, Jun

AU - Taylor, James

AU - Seward, Derek

PY - 2007/11

Y1 - 2007/11

N2 - Instead of the establishing the mathematical hydraulic system models from the physical laws as usual with the problems of complex modelling process, low reliability and practicality caused by large uncertainties, a novel modelling method for a highly nonlinear system of hydraulic excavator is presented. Based on the data collected in the excavator’s arms driving experiments, a data based excavator dynamic model using Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithms is established. The validity of the proposed data based model is indirectly demonstrated by the performance of computer simulation and the real machine motion control experiments.

AB - Instead of the establishing the mathematical hydraulic system models from the physical laws as usual with the problems of complex modelling process, low reliability and practicality caused by large uncertainties, a novel modelling method for a highly nonlinear system of hydraulic excavator is presented. Based on the data collected in the excavator’s arms driving experiments, a data based excavator dynamic model using Simplified Refined Instrumental Variable (SRIV) identification and estimation algorithms is established. The validity of the proposed data based model is indirectly demonstrated by the performance of computer simulation and the real machine motion control experiments.

KW - Hydraulic excavator

KW - Nonlinear dynamics

KW - Data based model

KW - Simplified refined instrumental variable algorithm

U2 - 10.1007/s11768-006-6180-2

DO - 10.1007/s11768-006-6180-2

M3 - Journal article

VL - 5

SP - 391

EP - 396

JO - Journal of Control Theory and Applications

JF - Journal of Control Theory and Applications

SN - 1672-6340

IS - 4

ER -