Design of a 5 degree of freedom–voice coil motor actuator for smartphone camera modules

2020 ◽  
Vol 309 ◽  
pp. 112014 ◽  
Author(s):  
Chang-Lin Hsieh ◽  
Chien-Sheng Liu ◽  
Chih-Chun Cheng
Keyword(s):  
Voice Coil Motor ◽  
Degree Of Freedom

Design of a 6-DOF VCM-Driven Micro Stage

2014 ◽  
Vol 532 ◽  
pp. 3-6 ◽  
Author(s):  
Jae Heon Jeong ◽  
Myeong Hyeon Kim ◽  
Si Woong Woo ◽  
Da Hoon Ahn ◽  
Dong Pyo Hong
Keyword(s):  
Resonant Frequency ◽  
Laser Interferometer ◽  
Voice Coil Motor ◽  
Degree Of Freedom ◽  
Out Of Plane ◽  
Gap Sensors ◽  
Moving Magnet ◽  
High Resonant Frequency

This paper presents design of micro stage performing 6 degree-of-freedom (DOF) motions, which actuated by voice coil motor (VCM). The VCMs generate forces to perform in-plane motions and out-of-plane motions. The stage is supported by springs for compensating mass of the moving part of the stage and the stiffness of the springs has been chosen to meet the moving range requirement and to have high resonant frequency at the same time. Moving magnet type has been selected against moving coil type due to few merits of the type. The size of the stage is 380 X 380 X 60 mm3 and the motions are measured by laser interferometer and gap sensors.

Design and Analysis of a Novel Two-Degree-of-Freedom Voice Coil Motor

2019 ◽  
Vol 24 (6) ◽  
pp. 2908-2918
Author(s):  
Zijiao Zhang ◽  
Meizhu Luo ◽  
Haibo Zhou ◽  
Ji-An Duan
Keyword(s):  
Voice Coil Motor ◽  
Degree Of Freedom ◽  
Two Degree Of Freedom

Approximating power for significance tests with one degree of freedom.

1997 ◽  
Vol 2 (2) ◽  
pp. 186-191 ◽  
Author(s):  
William P. Dunlap ◽  
Leann Myers
Keyword(s):  
Degree Of Freedom ◽  
Significance Tests

Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator

2019 ◽  
Author(s):  
Nguyen Cao Thang ◽  
Luu Xuan Hung
Keyword(s):  
Performance Analysis ◽  
Mean Square Error ◽  
Nonlinear Oscillators ◽  
Degree Of Freedom ◽  
Equivalent Linearization ◽  
Mean Square ◽  
Error Criterion ◽  
Stochastic Linearization ◽  
Local Mean ◽  
Mean Square Error Criterion

The paper presents a performance analysis of global-local mean square error criterion of stochastic linearization for some nonlinear oscillators. This criterion of stochastic linearization for nonlinear oscillators bases on dual conception to the local mean square error criterion (LOMSEC). The algorithm is generally built to multi degree of freedom (MDOF) nonlinear oscillators. Then, the performance analysis is carried out for two applications which comprise a rolling ship oscillation and two degree of freedom one. The improvement on accuracy of the proposed criterion has been shown in comparison with the conventional Gaussian equivalent linearization (GEL).

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