Adaptive Repetitive Control of Hydraulic Load Simulator With RISE Feedback
Author(s) -
Chengyang Luo,
Jianyong Yao,
Fuhong Chen,
Lan Li,
Qiang Xu
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2762665
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Electro-hydraulic load simulator is a typical test-equipment for hardware-in-the-loop simulation, and usually performs periodic tasks, in which the modeling uncertainties will also present some periodicity. With this notification, in this paper, the system model of electro-hydraulic load simulator is established, afterward, all periodic uncertainties are transformed into linear-in-parameters form by applying Fourier series approximation, then an adaptive repetitive scheme with a robust integral of the sign of the error (RISE) feedback is synthesized, in which adaptive repetitive law is designed to handle periodic uncertainties and RISE robust term to attenuate unmodeled disturbances. The developed controller features depending on the desired trajectory rather than the system states, therefore it requires little information of the dynamic system and uncertain nonlinearities, which can apparently restrain the problems from noise pollution. In addition, because the periodic uncertainties are approximated as Fourier series and then compensated, the system performance can be greatly improved when performing periodic tasks. The resulting final control input is continuous while asymptotic tracking performance can be achieved with various uncertainties and disturbances by the proposed controller via Lyapunov stability analysis. In comparison to the other three controllers, the effectiveness and high performance of the proposed control method are validated by the experimental results sufficiently.
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