Control of ultra-high precision magnetic leadscrew using recurrent neural networks
Document Type
Conference Proceeding
Publication Date
12-1-1998
Abstract
In this work, the problem of vibration control for a contactless magnetic leadscrew system is considered. A contactless drive system is a magnetic nut/leadscrew and air bearing assembly that operates on the principle of magnetic/aerodynamic suspension to position a load with high accuracy. However, the dynamics of such system is lightly damped, load dependent, and generally difficult to stabilize by conventional linear controllers. Therefore, the technique of recurrent neural network is applied to separate the oscillatory signals so that passband shaping can be carried out to regulate plant dynamics and to reject disturbances. This controller possesses a modular structure and is easy to implement. Experimental results also confirm the vibration suppression capabilities of this controller.
Identifier
0032301898 (Scopus)
Publication Title
Proceedings of SPIE the International Society for Optical Engineering
ISSN
0277786X
First Page
208
Last Page
219
Volume
3518
Recommended Citation
Chang, Timothy; Wong, Tony; Dani, Bhaskar; Ji, Zhiming; Shimanovich, Mike; and Caudill, Reggie, "Control of ultra-high precision magnetic leadscrew using recurrent neural networks" (1998). Faculty Publications. 16222.
https://digitalcommons.njit.edu/fac_pubs/16222
