Open Access
Control for precision mechatronics
Tom Oomen
- 01 Jan 2019
18
TL;DR: The aim of this chapter is to outline advanced motion control for precision mechatronics, and both feedback and feedforward control are covered.
read more
Abstract: Motion systems are a key enabling technology in manufacturing machines and scientific instruments. Indeed, these motion systems perform the positioning with high speed and accuracy, where typical requirements are in the micrometer or even nanometer range. This is achieved through a mechatronic system design, which includes actuators, sensors, mechanics, and control. The aim of this chapter is to outline advanced motion control for precision mechatronics. Both feedback and feedforward control are covered. Their specific designs are heavily influenced by considerations regarding efficient and accurate modeling techniques. Extensions to complex multivariable systems are outlined, as well as challenges induced by envisaged future application requirements.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Learning for Advanced Motion Control
Tom Oomen
- 14 Sep 2020
TL;DR: A frequency domain approach is presented, where fast learning is achieved through noncausal model inversion, and safe and robust learning is achieve by employing a contraction mapping theorem in conjunction with nonparametric frequency response functions.
26
Control- Relevant Neural Networks for Intelligent Motion Feedforward
Leontine Aarnoudse,Wataru Ohnishi,Maurice Poot,P.J.M.M. Tacx,Nard Strijbosch,Tom Oomen +5 more
- 07 Mar 2021
TL;DR: In this paper, the authors developed a systematic framework for application of neural networks to motion feedforward, that leads to an intelligent motion feed forward approach in the sense that it achieves both flexibility for varying references and high performance.
15
Gaussian Process Repetitive Control With Application to an Industrial Substrate Carrier System With Spatial Disturbances
TL;DR: In this article , a Gaussian process (GP) is used to estimate position-domain disturbances, resulting in perfect compensation for time-domain nonperiodic disturbances that are amplified by traditional RC.
7
References
•Book
Multivariable Feedback Control: Analysis and Design
Sigurd Skogestad,Ian Postlethwaite +1 more
- 01 Jan 1996
TL;DR: This book presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems and provides the reader with insights into the opportunities and limitations of feedback control.
A survey of iterative learning control
TL;DR: Though beginning its third decade of active research, the field of ILC shows no sign of slowing down and includes many results and learning algorithms beyond the scope of this survey.
3K
•Book
System Identification: A Frequency Domain Approach
Rik Pintelon,Joannes Schoukens +1 more
- 31 Dec 2003
TL;DR: Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach.
•Book
Feedback Systems: An Introduction for Scientists and Engineers
Karl Johan Åström,Richard M. Murray +1 more
- 21 Apr 2008
TL;DR: Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.
Motion control for advanced mechatronics
TL;DR: In this article, a technique to estimate disturbance is introduced to make motion controller to be an acceleration controller, which is a bridge to connect such robustness and variable stiffness in the controller.
1.8K