DocumentCode :
2522864
Title :
Adaptive robust precision motion control of high-speed linear motors with on-line cogging force compensations
Author :
Yao, Bin ; Hu, Chuxiong ; Wang, Qingfeng
Author_Institution :
Purdue Univ., West Lafayette
fYear :
2007
fDate :
4-7 Sept. 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper studies the precision motion control of high-speed/acceleration linear motors in a commercial gantry which are subject to significant nonlinear cogging forces. A discontinuous projection based desired compensation adaptive robust controller (ARC) is constructed and implemented. Design models consisting of known basis functions with unknown weights are used to approximate various unknown nonlinear forces with model approximation errors being explicitly accounted for in the controller design process. On-line parameter adaptation is then utilized to reduce the effect of various parametric uncertainties while certain robust control laws are synthesized to effectively handle various modeling uncertainties for a guaranteed robust performance. Comparative experimental results obtained on an Anorad commercial gantry with a linear encoder resolution of 0.5 mum and a position measurement resolution of 20 nanometers by external laser interferometers are presented to illustrate the achievable control performance of the proposed control strategy in implementation. Experiments are also performed to explicitly identify the cogging forces via external force sensors. Various comparative experimental results with and without the proposed cogging force compensations are then obtained to validate the effectiveness of the approach in practical applications.
Keywords :
adaptive control; approximation theory; control system synthesis; force control; linear motors; machine control; motion control; nonlinear control systems; robust control; uncertain systems; adaptive robust precision motion control design; high-speed linear motor; model approximation error; online cogging force compensation; online parameter adaptation; uncertain system; Acceleration; Adaptive control; Approximation error; Force control; Force sensors; Forging; Motion control; Optical control; Programmable control; Robust control; Adaptive Robust Control; Linear Motor; Motion Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced intelligent mechatronics, 2007 IEEE/ASME international conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4244-1263-1
Electronic_ISBN :
978-1-4244-1264-8
Type :
conf
DOI :
10.1109/AIM.2007.4412558
Filename :
4412558
Link To Document :
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