Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 106, Issue -, Pages 453-465Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2018.01.004
Keywords
Friction identification; Feed system; Genetic algorithm; LuGre model
Categories
Funding
- National Natural Science Foundation of China [51375266]
- National Natural Science Foundation for Young Scientists of China [51705289]
- Key Research & Development Program of Shandong Province [2015GGX103036]
- Natural Science Foundation of Shandong Province [ZR2017PEE005]
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Non-linear friction in a conventional drive feed system (CDFS) feeding at low speed is one of the main factors that lead to the complexity of the feed drive. The CDFS will inevitably enter or approach a non-linear creeping work area at extremely low speed. A novel two axis differential micro-feed system (TDMS) is developed in this paper to overcome the accuracy limitation of CDFS. A dynamic model of TDMS is first established. Then, a novel all-component friction parameter identification method (ACFPIM) using a genetic algorithm (GA) to identify the friction parameters of a TDMS is introduced. The friction parameters of the ball screw and linear motion guides are identified independently using the method, assuring the accurate modelling of friction force at all components. A proportional-derivate feed drive position controller with an observer-based friction compensator is implemented to achieve an accurate trajectory tracking performance. Finally, comparative experiments demonstrate the effectiveness of the TDMS in inhibiting the disadvantageous influence of non-linear friction and the validity of the proposed identification method for TDMS. (C) 2018 Elsevier Ltd. All rights reserved.
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