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Journal ArticleDOI

Iterative learning control of permanent magnet linear motor with relay automatic tuning

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TLDR
In this article, a feedforward-feedback control structure is proposed for precision motion control of a permanent magnet linear motor (PMLM) for applications which are inherently repetitive in terms of the motion trajectories.
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This article is published in Mechatronics.The article was published on 2000-02-01. It has received 73 citations till now. The article focuses on the topics: Iterative learning control & Feed forward.

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Citations
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Journal ArticleDOI

Iterative Learning Control: Brief Survey and Categorization

TL;DR: The iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors.
Journal ArticleDOI

Survey on iterative learning control, repetitive control, and run-to-run control

TL;DR: Three control methods—iterative learning control, repetitive control (RC), and run-to-run control (R2R)—are studied and compared and some promising fields for learning-type control are revealed.
Journal ArticleDOI

On iterative learning from different tracking tasks in the presence of time-varying uncertainties

TL;DR: A new iterative learning control method, which enables learning from different tracking control tasks and uses a composite energy function (CEF) index, which consists of a positive scalar function and L2 norm of the function approximation error.
Journal ArticleDOI

Design of hysteresis-compensating iterative learning control for piezo-positioners: Application to atomic force microscopes

TL;DR: In this paper, an iterative learning control algorithm based on the Preisach hysteresis model was proposed to achieve high-precision positioning in piezo-based systems.
Journal ArticleDOI

A High-Precision Motion Control Based on a Periodic Adaptive Disturbance Observer in a PMLSM

TL;DR: In this article, a periodical adaptive disturbance observer is proposed to attenuate periodic disturbances on repetitive motion using permanent magnet linear synchronous motors (PMLSMs), which is based on assumptions that all measured states and disturbances are periodic and repetitive.
References
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Journal ArticleDOI

Bettering Operation of Robots by Learning

TL;DR: A betterment process for the operation of a mechanical robot in a sense that it betters the nextoperation of a robot by using the previous operation's data is proposed.
Journal ArticleDOI

A survey of models, analysis tools and compensation methods for the control of machines with friction

TL;DR: This survey is the first to bring to the attention of the controls community the important contributions from the tribology, lubrication and physics literatures, and provides a set of models and tools for friction compensation which will be of value to both research and application engineers.
Journal ArticleDOI

Paper: Automatic tuning of simple regulators with specifications on phase and amplitude margins

TL;DR: A simple method for estimating the critical gain and the critical frequency is described, which may be used for automatic tuning of simple regulators as well as initialization of more complicated adaptive regulators.
Journal ArticleDOI

Formation and control of optimal trajectory in human multijoint arm movement

TL;DR: In this article, the authors proposed a mathematical model which accounts for formation of hand trajectories by defining an objective function, a measure of performance for any possible movement: square of the rate of change of torque integrated over the entire movement.
Book

Iterative learning control: analysis, design, integration and applications

TL;DR: This chapter discusses Iterative Learning Control with Non-Standard Assumptions Applied to the Control of Gas-Metal Arc Welding and its Extension to a Class of Nonlinear Systems.
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