Temporal Location of Reinforcer Delivery Determines Motor Control Strategy

1994 ◽  
Author(s):  
Suzanne H. Mitchell ◽  
Jasper Brener
2019 ◽  
Vol 27 (4) ◽  
pp. 267-275
Author(s):  
Yan Jin ◽  
JiWon Seong ◽  
YoungChae Cho ◽  
BumChul Yoon

Aging-induced degeneration of the neuromuscular system would result in deteriorated complex muscle force coordination and difficulty in executing daily activities that require both hands. The aim of this study was to provide a basic description of how aging and dual-task activity would affect the motor control strategy during bimanual isometric force control in healthy adults. In total, 17 young adults (aged 25.1 ± 2.4 years) and 14 older adults (aged 72.6 ± 3.4 years) participated in the study. The subjects were instructed to press both hands simultaneously to match the 1 Hz sine curve force under two conditions (with or without calculation) with continuous visual feedback. Differences in bimanual motor synergy, bimanual coordination, force accuracy, force variability, and calculation speed were compared. This study found that the specific motor control strategy of older adults involved a decreased bimanual force control ability with both increased VUCM and VORT, and was not influenced by dual tasking. These findings might have implications for establishing interventions for aging-induced hand force control deficits.


2014 ◽  
Vol 635-637 ◽  
pp. 1241-1245
Author(s):  
Li Lin ◽  
Hong Zhi Cui ◽  
Hu Zhu

In order to test the efficiency of motor control strategy, we developed a platform based on DSP2812,named permanent magnet synchronous motor control system which used in vehicle. The algorithm of vector control system is proved effective to modify parameters and debug. And the researches provide the experiment basis of motor control strategy study.


2014 ◽  
Vol 496-500 ◽  
pp. 1352-1355
Author(s):  
Chuan Xue Song ◽  
Si Lun Peng ◽  
Shi Xin Song ◽  
Jian Hua Li ◽  
Zhu'an Zheng

According to the characteristics that the motor in wheel is insensitivity of torque ripple, the impact of reducing PWM frequency on motor control is studied, and the phenomenon that the PWM frequency is limited by the lag angle of motor commutation. Then a variable PWM frequency control strategy according to rotate speed is proposed. Based on Simulink, the motor control model is built and the control strategy is verified by simulation. The result shows that the variable PWM frequency control significantly improves the performance of motor at low speed, with little toque ripple increased.


2019 ◽  
Vol 27 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Yan Jin ◽  
Minhee Kim ◽  
Sejun Oh ◽  
BumChul Yoon

This study aimed to provide a basic description of the motor control strategy during bimanual isometric force control in healthy young adults. Thirty healthy young adults (mean age: 27.4 ± 3.7 years) participated in the study. The subjects were instructed to press both hands simultaneously to match the target force level of 5%, 25%, and 50% bimanual maximum voluntary force using continuous visual feedback. Bimanual motor synergy and bimanual coordination, as well as force asymmetry, force accuracy, and force variability were compared. This study identified the specific motor control strategy of healthy young adults during bimanual isometric force control, indicating that they proportionally increased “good” and “bad” variabilities, resulting in comparable bimanual motor synergy as the target force level increased.


2019 ◽  
Vol 100 (10) ◽  
pp. e42
Author(s):  
Yan Jin ◽  
EunYoung Seo ◽  
RockHyun Kim ◽  
ByungWoo Ko ◽  
BumChul Yoon

2014 ◽  
Vol 494-495 ◽  
pp. 1253-1256
Author(s):  
Hui Wang

In this thesis , the control strategy based on sensorless BLDCM(Brushless DC Motor) has been researched.A control system for BLDCM operating on ADSP-BF548 has been given. we focus on studying the control strategy of sensorless BLDC motor based on back-EMF detection, and present a control system for BLDC motor based on ADSP-BF548 special for motor control. The calculation method of back EMF in BLDC motor was deduced and the hardware circuit of line voltage detecting was designed. A pre-position starting tactics based on back EMF detection and a tactics of phase converting by postponing back-emf-zero-crossing detecting was designed. The signal wave was filtered by postponing back-emf-zero-crossing detecting when back-emf-zero-crossing had been detected. To release the phase delay caused by hardware filtering, a phase compensation algorithm has been designed. The PID adjusting algorithm and other strategy are designed in this program. Experimental results show that the control system has good speed adjusting performance and runs stably.


2021 ◽  
Vol 12 (4) ◽  
pp. 195
Author(s):  
Mengyuan Dong ◽  
Yuezhen Fan ◽  
Donglei Yu ◽  
Qingchun Wang

Vehicle driving safety is an important performance indicator for vehicles, and there is still much room for development in the active safety control of electric vehicles. A vehicle rollover is an important road traffic safety problem, as rollover accidents cause serious casualties and huge economic losses. It is very easy for vehicles in high-speed sharp turns or high-speed overtaking to roll over; in order to improve the vehicle in these conditions with the anti-rollover stability, this study proposed a real-time motor control strategy, mainly through the acquisition of vehicle attitude data and the use of multi-sensor fusion on the vehicle running state for real time. The lateral load transfer rate was used as the vehicle rollover evaluation index, and the test results indicate that when the real-time rollover index exceeds the set limit safety threshold, the motor speed is reduced through active control so that the vehicle avoids rollover accidents, or the risk of rollover is reduced. The STM32F103RET6 was used as the main chip for hardware design, control board fabrication, control program software design, and joint testing of software and hardware. The tests and data analysis prove that the motor control strategy is reliable in real time and can significantly improve the active safety of electric vehicles.


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