6 Papers
17 Citations
Caofeng Yu is an academic researcher from Anhui University of Science and Technology. The author has contributed to research in topics: Computer science & Displacement (psychology). The author has an hindex of 2, co-authored 3 publications.
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Papers
Hysteresis nonlinearity modeling and position control for a precision positioning stage based on a giant magnetostrictive actuator
TL;DR: To improve the defect, the Jiles–Atherton hysteresis model and the dynamic recurrent neural network feed forward-fuzzy PID feedback control strategy were adopted and the positioning accuracy of the precision positioning stage was improved.
16
Research on three-dimensional force sensor based on giant magnetostrictive material
Caofeng Yu,Chuanli Wang,Tao He,Haishun Deng +3 more
- 26 Jan 2016
TL;DR: In this paper, the authors established a linear relationship between the pressure exerted on the GMM rod and the inductance of induction coil, which lays a theoretical basis to design a three-dimensional force sensor with high precision, high stability and good output characteristics.
2
Patent
Super-magnetostrictive thin film type sound sensor
Wang Chuanli,Caofeng Yu,Deng Haishun,Tao He +3 more
- 10 Jun 2015
TL;DR: In this article, a super-magnetostrictive thin film type sound separator was proposed, which consists of a protecting cover, a permanent magnetic circle ring, a supermagnet-ostrictively thin film, a plane spiral coil, a circuit board, a first pin, a second pin and a housing.
1
Nonlinear dynamic characteristics of two-dimensional micro-positioning workbench based on giant magnetostrictive actuators
TL;DR: In this article , a multi-field coupled nonlinear dynamic model of the giant magnetostrictive actuator (GMA) and two-dimensional micro-positioning workbench is established according to the Jiles-Atherton hysteresis model and the structural dynamics principle of GMA.
Nonlinear characteristics of the driving model of the coaxial integrated macro–micro composite actuator
Abstract: Abstract. Nonlinearity is one of the important factors affecting the
positioning accuracy of the macro–micro composite actuator. To improve the
positioning accuracy of the driving model of the macro–micro composite
actuator, this paper combines the research phenomenon of the nonlinear
characteristics of the voice coil motor to model the nonlinear factors that
affect the macro-moving part of the macro–micro composite actuator. Firstly,
based on analyzing its structure and working principle, the variation law of
the magnetic field intensity at the working air gap of the macro-motion part
is analyzed by the finite element method, and the driving force model of the
macro-motion part is established. Secondly, through the magnetic field
simulation analysis, there is a magnetization phenomenon in the mover part,
and the static friction model is established. Then, the experimental data are
acquired and processed by building the experimental test platform of the
actuator, and the variation model of the electromechanical time constant
with the macro-motion displacement is established. Then, combined with the
Stribeck model and the static friction model, the kinetic model of the
macro-motion part is established. Finally, using the least square method
identify the parameter model, the results are compared with the
experiment. The results show that the magnetic field distribution at the
working air gap of the macro-motion part of the macro–micro composite
actuator is relatively uniform, but it is related to the macro-motion
displacement and the macro-motion coil current. When the macro-motion part
of the macro-micro composite actuator starts, the friction model can
approximately reflect the change of friction force, the kinetic
model of the macro-motion part can reflect the dynamic characteristics of
the macro-motion part, and the matching degree is 92.97 %. The research
results lay a theoretical and technical foundation for the development of a
high-speed and large-stroke positioning controller of the macro-motion micro
composite actuator.