scholarly journals Neural network solution of the direct kinematics problem for a hexapod with ball-screw drives of legs

Author(s):  
Yu A Zhukov ◽  
E B Korotkov ◽  
V V Zhukova ◽  
A M Abramov
2020 ◽  
Vol 10 (1) ◽  
pp. 65-70
Author(s):  
Andrei Gorchakov ◽  
Vyacheslav Mozolenko

AbstractAny real continuous bounded function of many variables is representable as a superposition of functions of one variable and addition. Depending on the type of superposition, the requirements for the functions of one variable differ. The article investigated one of the options for the numerical implementation of such a superposition proposed by Sprecher. The superposition was presented as a three-layer Feedforward neural network, while the functions of the first’s layer were considered as a generator of space-filling curves (Peano curves). The resulting neural network was applied to the problems of direct kinematics of parallel manipulators.


2015 ◽  
Vol 109 (6) ◽  
pp. 561-574 ◽  
Author(s):  
Mitra Asadi-Eydivand ◽  
Mohammad Mehdi Ebadzadeh ◽  
Mehran Solati-Hashjin ◽  
Christian Darlot ◽  
Noor Azuan Abu Osman

Author(s):  
Lanyu Shang ◽  
Christina Youn ◽  
Yuheng Zha ◽  
Yang Zhang ◽  
Dong Wang

2013 ◽  
Vol 769 ◽  
pp. 271-277 ◽  
Author(s):  
Christopher Ehrmann ◽  
Stefan Herder

Piezoelectric ceramics can be used as sensors, as well as actors. The concept of a self- sensing-actuator tries to use both modes of operation in one device, allowing the economic integration of mechatronic systems. Possible fields of application are ball screws of machine tools, where wear-induced degradation of the preload can be compensated. Furthermore, the signal processing part of such a system can be used to gather information related to the condition of the ball screw. Both excitation signal generation and filtering of the measured signal have to offer high flexibility and signal fidelity. In this article the concept of a power amplifier and its corresponding signal processing system are presented.


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