DocumentCode :
631843
Title :
Dynamic modeling and control of a nanotube-based linear motor
Author :
Zhibin Li ; Lixin Dong ; Xiaobo Tan
Author_Institution :
Sch. of Mech. & Electr. Eng., Shenzhen Polytech., Shenzhen, China
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
850
Lastpage :
855
Abstract :
The dynamic modeling and control of a nanotube-based linear motor are investigated in this paper. The linear motor is realized using the interlayer motion of middle- supported telescoping multi-walled carbon nanotubes (MWNTs). The motion of the nanotube linear motor is dictated by the electrostatic force, van der Waals interaction, and the total intershell sliding friction force. The dynamic model is a second-order nonlinear system. Under constant voltage actuation conditions, the translational motion of the nanotube linear motor at the full range results in pull-in instability. To extend the controllable movement to a a relatively large range, closed-loop control strategy based on feedback linearization is proposed. Simulations show that the closed-loop control system has excellent step responses, and can track continuously varying references.
Keywords :
carbon nanotubes; closed loop systems; feedback; linear motors; linearisation techniques; motion control; nonlinear control systems; sliding friction; stability; step response; van der Waals forces; MWNT; closed-loop control strategy; constant voltage actuation conditions; continuously varying reference tracking; controllable movement; dynamic nanotube-based linear motor control; dynamic nanotube-based linear motor modeling; electrostatic force; feedback linearization; interlayer motion; middle-supported telescoping multiwalled carbon nanotubes; nanotube linear motor motion; nanotube linear motor translational motion; pull-in instability; second-order nonlinear system; step response; total intershell sliding friction force; van der Waals interaction; Electrodes; Feedforward neural networks; Iron; Zirconium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584200
Filename :
6584200
Link To Document :
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