High Precision Servo System reference input learning PMSM

DOI

10.2991/asei-15.2015.400How to use a DOI?

Keywords

servo drive; controller structure; High Precision Servo; iterative learning

Abstract

For high-precision position servo system has run repeatedly on the properties of iterative learning control (iterative learning control, ILC), you can get totally theoretical position on track. But in fact, many of the servo drive usually consists of commercial products, and these products can not be commercialized or inconvenience reconfigured. The traditional iterative learning control for the embedded structure of the control system must be redesigned to use, it is not conducive to promote the use of iterative learning control. For this reason, some scholars have proposed in the literature reference cascade iterative learning control, modify the reference signal by iterative learning, repeatedly improved control system performance, without changing the existing controller structure, simple. This article will focus PMSM position servo system with high-precision operational characteristics duplicate analyzes the limitations of traditional control methods proposed learning control based on the reference input iterator precision control strategy, given controller structure, and derive convergence condition simulation and experimental Research.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong-qiu Liu
AU  - Qiu-kui Han
PY  - 2015/05
DA  - 2015/05
TI  - High Precision Servo System reference input learning PMSM
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 2033
EP  - 2037
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.400
DO  - 10.2991/asei-15.2015.400
ID  - Liu2015/05
ER  -