DocumentCode :
3551089
Title :
Nanoscale path planning and motion control
Author :
Shakir, Huzefa ; Kim, Won-jong
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2005
fDate :
8-10 June 2005
Firstpage :
3604
Abstract :
This paper addresses nanoscale path planning and motion control, which is essential in key nanomanufacturing applications such as microstereolithography (μSTL), dip-pen-nanolithography (DPN), and scanning applications for imaging and manipulation of nanoscale surface phenomena, with the magnetic-levitation (maglev) technology. We identified motion trajectories commonly used in industrial applications along with the challenges in optimal path planning to meet the nanoscale motion-control objectives and achieve precise positioning and maximum throughput simultaneously. Key control parameters in path planning are determined, and control design methodologies including a well-damped lead-lag controller and an optimal linear quadratic regulator are proposed to satisfy the positioning requirements. The proposed methodologies, individually and collectively, were implemented, and experimental results are presented in this paper to illustrate their effectiveness in planning optimal trajectories. The damped lead-lag controller exhibited the command overshoot of as small as 0.37%, and the multivariable LQ controller reduced the dynamic coupling between the axes by 97.1% as compared with the decoupled single-input-single-output (SISO) lead-lag controllers. The position resolution of 5 nm was achieved in x and y with the errors in command tracking as small as 4.5 nm. The maglev stage demonstrated excellent performances for the chosen nanomanufacturing applications in terms of position resolution and accuracy, and speed.
Keywords :
control system synthesis; linear quadratic control; magnetic levitation; motion control; multivariable control systems; nanopositioning; path planning; process control; control design; maglev stage; magnetic-levitation technology; motion control; multivariable LQ controller; nanomanufacturing; nanoscale path planning; optimal linear quadratic regulator; optimal path planning; optimal trajectory planning; precise positioning; well-damped lead-lag controller; Atomic force microscopy; Instruments; Magnetic hysteresis; Magnetic levitation; Manufacturing; Mechanical engineering; Motion control; Optimal control; Path planning; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
ISSN :
0743-1619
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2005.1470533
Filename :
1470533
Link To Document :
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