A laboratory test bed for PM brushless motor control

Author(s):  
D. Montesinos ◽  
S. Galceran ◽  
A. Sudria ◽  
O. Gomis
2021 ◽  
pp. 1-18
Author(s):  
Sicong Liu ◽  
Jillian M. Clements ◽  
Elayna P. Kirsch ◽  
Hrishikesh M. Rao ◽  
David J. Zielinski ◽  
...  

Abstract The fusion of immersive virtual reality, kinematic movement tracking, and EEG offers a powerful test bed for naturalistic neuroscience research. Here, we combined these elements to investigate the neuro-behavioral mechanisms underlying precision visual–motor control as 20 participants completed a three-visit, visual–motor, coincidence-anticipation task, modeled after Olympic Trap Shooting and performed in immersive and interactive virtual reality. Analyses of the kinematic metrics demonstrated learning of more efficient movements with significantly faster hand RTs, earlier trigger response times, and higher spatial precision, leading to an average of 13% improvement in shot scores across the visits. As revealed through spectral and time-locked analyses of the EEG beta band (13–30 Hz), power measured prior to target launch and visual-evoked potential amplitudes measured immediately after the target launch correlate with subsequent reactive kinematic performance in the shooting task. Moreover, both launch-locked and shot/feedback-locked visual-evoked potentials became earlier and more negative with practice, pointing to neural mechanisms that may contribute to the development of visual–motor proficiency. Collectively, these findings illustrate EEG and kinematic biomarkers of precision motor control and changes in the neurophysiological substrates that may underlie motor learning.


1988 ◽  
Author(s):  
KEITH NGUYEN ◽  
DARROW COLE ◽  
JOHN PERRY ◽  
ARNIE NORMAN

2020 ◽  
Author(s):  
Zenon Syroka

A universal controller for brushless direct current (BLDC) motors was designed in the presented article. The system is controlled from the user console where operating parameters are set by the user. Signals are transmitted by cables to microcontrollers which control and monitor electric motors. Microprocessors communicate via a data bus. The controller contains the user console module and the motor control module. The user console module generates commands, and motors are controlled and monitored by the control module. Motor control modules operate independently, and each brushless motor has a dedicated control module. Brushless motors can be controlled in bipolar or unipolar mode. The control method is selected by the operator. The user console and motor controllers communicate via the I²C bus.  


2020 ◽  
Author(s):  
Michael Holden ◽  
Juan Carlos Miranda ◽  
Jose Coto

Author(s):  
Mats-Robin Jacobsen ◽  
David Laverty ◽  
Robert J. Best ◽  
John C. Hastings
Keyword(s):  

2012 ◽  
Vol 605-607 ◽  
pp. 1687-1691
Author(s):  
Xian Zhao Yang ◽  
Geng Guo Cheng

This paper studies the synchronization of brushless excitation frequency soft start system design. On the basis of principle of the synchronized machine brushless excitation frequency soft starter system, the practical applications of brushless motor control system are elaborated. Experimental results in engineering show effectiveness of the design.


2000 ◽  
Vol 81 (1-3) ◽  
pp. 320-323 ◽  
Author(s):  
F. Burger ◽  
P.-A. Besse ◽  
R.S. Popovic

Author(s):  
Sunil K. Agrawal ◽  
Venketesh N. Dubey ◽  
John J. Gangloff ◽  
Elizabeth Brackbill ◽  
Vivek Sangwan

This paper presents the design of a wearable upper arm exoskeleton that can be used to assist and train arm movements of stroke survivors or subjects with weak musculature. In the last ten years, a number of upper-arm training devices have emerged. However, due to their size and weight, their use is restricted to clinics and research laboratories. Our proposed wearable exoskeleton builds upon our extensive research experience in wire driven manipulators and design of rehabilitative systems. The exoskeleton consists of three main parts: (i) an inverted U-shaped cuff that rests on the shoulder, (ii) a cuff on the upper arm, and (iii) a cuff on the forearm. Six motors, mounted on the shoulder cuff, drive the cuffs on the upper arm and forearm, using cables. In order to assess the performance of this exoskeleton, prior to use on humans, a laboratory test-bed has been developed where this exoskeleton is mounted on a model skeleton, instrumented with sensors to measure joint angles and transmitted forces to the shoulder. This paper describes design details of the exoskeleton and addresses the key issue of parameter optimization to achieve useful workspace based on kinematic and kinetic models.


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