Magnetorheological fluid dampers: a review of parametric modelling

DH Wang, WH Liao - Smart materials and structures, 2011 - iopscience.iop.org
Due to the inherent nonlinear nature of magnetorheological (MR) dampers, one of the
challenging aspects for developing and utilizing these devices to achieve high performance …

Intelligent friction compensation: A review

S Huang, W Liang, KK Tan - IEEE/Asme Transactions On …, 2019 - ieeexplore.ieee.org
High-precision motion control is highly desirable in process and industrial automation,
including the domains of machine tools, ultra-precision spindles, micro-manufacturing …

High-accuracy tracking control of hydraulic rotary actuators with modeling uncertainties

J Yao, Z Jiao, D Ma, L Yan - IEEE/AsmE Transactions on …, 2013 - ieeexplore.ieee.org
Structured and unstructured uncertainties are the main obstacles in the development of
advanced controllers for high-accuracy tracking control of hydraulic servo systems. For the …

Adaptive control of hydraulic actuators with LuGre model-based friction compensation

J Yao, W Deng, Z Jiao - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
This paper concerns high-accuracy tracking control for hydraulic actuators with nonlinear
friction compensation. Typically, LuGre model-based friction compensation has been widely …

Revisiting the LuGre friction model

K Johanastrom… - IEEE Control systems …, 2008 - ieeexplore.ieee.org
In this article we first review properties of the LuGre model, including zero-slip displacement,
invariance, and passivity. An extension to include velocity-dependent microdamping is also …

[图书][B] Fractional order motion controls

Y Luo, Y Chen - 2012 - books.google.com
Covering fractional order theory, simulation and experiments, this book explains how
fractional order modelling and fractional order controller design compares favourably with …

Neural-network approximation of piecewise continuous functions: application to friction compensation

RR Selmic, FL Lewis - IEEE transactions on neural networks, 2002 - ieeexplore.ieee.org
One of the most important properties of neural nets (NNs) for control purposes is the
universal approximation property. Unfortunately,, this property is generally proven for …

Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments

T Kara, I Eker - Energy Conversion and Management, 2004 - Elsevier
Modeling and identification of mechanical systems constitute an essential stage in practical
control design and applications. Controllers commanding systems that operate at varying …

Development of pump and valves combined hydraulic system for both high tracking precision and high energy efficiency

L Lyu, Z Chen, B Yao - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Generally, the valve controlled electro-hydraulic systems are able to achieve high motion
tracking precision, but suffer from large amount of throttling losses. As an alternative …

Sliding-mode-observer-based adaptive control for servo actuator with friction

WF Xie - IEEE Transactions on Industrial Electronics, 2007 - ieeexplore.ieee.org
In this paper, a novel sliding-mode-observer-based adaptive controller is developed for the
servo actuators with friction. The LuGre dynamic friction model is adopted for adaptive …