Effect of motor-cage temperature on motor speed sensing characteristics of magnetostrictive amorphous wire

AFRICON 2009 ◽  
2009 ◽  
Author(s):  
J. N. Nderu ◽  
P. K. Kihato ◽  
G. M. Hinga
Author(s):  
Andrean George W

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.


2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0018
Author(s):  
Aaron J. Zynda ◽  
Mathew A. Stokes ◽  
Jane S. Chung ◽  
C. Munro Cullum ◽  
Shane M. Miller

Background: There is limited evidence examining the impact of learning disorders on testing and screening scores used in evaluation following concussion in adolescents. Purpose: To examine differences in clinical measures between adolescents with a history of dyslexia or ADD/ADHD and those without a history of learning disorder (LD) following concussion. Methods: Data were collected from participants enrolled in the North Texas Concussion Network Prospective Registry (ConTex). Participants ages 10-18 who had been diagnosed with a concussion sustained within 30 days of enrollment were included. Participants were separated into three groups based on self-reported prior diagnosis: dyslexia, ADD/ADHD, and no history of LD. Clinical measures from initial presentation were examined, including ImPACT®, King-Devick (KD), SCAT-5 symptom log, Patient Health Questionnaire (PHQ-8), and Generalized Anxiety Disorder (GAD-7) scale. Independent t-test analysis was performed to compare scores between groups. Results: A total of 993 participants were included; 68 with dyslexia, 141 with ADD/ADHD, and 784 with no history of LD. There was no difference in age, sex, time since injury, or history of concussion between the dyslexia group and no LD group. In the ADD/ADHD group, there were significantly more male participants (64.5% and 50.3% respectively, p=0.002). Participants with a history of dyslexia had a significant increase in KD time (63.7 sec vs 56.5 sec, p=0.019). Additionally, ImPACT® testing showed a decrease in visual motor speed (28.87 vs 32.99, p= 0.010). Total symptom score was higher in this group as well (36.22 vs 28.27, p=0.013). In those with a history of ADD/ADHD, multiple domains were found to be significantly different on ImPACT® testing including visual motor speed (30.05), reaction time (0.75), and cognitive efficiency (0.23) when compared to those with no LD (32.99, 0.71, and 0.27 respectively, p=0.004, 0.047, 0.027). KD time was also significantly higher in this group (62.1 sec vs 56.5 sec, p=0.008), as was the total symptom score (32.99 vs 28.27, p=0.043). PHQ-8 and GAD-7 were both significantly higher in the group with ADD/ADHD (5.79 and 5.06 respectively, p=0.001) than those with no LD (4.32 and 3.56, p=0.001). Conclusion: Differences were seen in participants with a history of dyslexia and ADD/ADHD on clinical concussion measures, including ImPACT® and KD testing, SCAT-5 symptom log, and screenings for depression and anxiety. A better understanding of the unique profiles seen in these patients will aid providers in their evaluation and assist as they counsel families regarding their child’s injury.


2016 ◽  
Vol 16 (3) ◽  
pp. 596-602 ◽  
Author(s):  
Bin Chen ◽  
Masami Mokume ◽  
Chuanjun Liu ◽  
Kenshi Hayashi

2021 ◽  
pp. 1-19
Author(s):  
Mary Ann George ◽  
Dattaguru V. Kamat ◽  
Thirunavukkarasu Indiran
Keyword(s):  

2021 ◽  
pp. 1-13
Author(s):  
Suryakant ◽  
Mini Sreejeth ◽  
Madhusudan Singh

Detection of the rotor position is an important prerequisite for controlling the speed and developed torque in permanent magnet synchronous motor (PMSM). Even though use of incremental encoder and resolver is one of the popular schemes for sensing the rotor position in a PMSM drive, it increases the size and weight of the drive and reduces its reliability. Dynamic modeling of the motor and control algorithms are often used in sensor-less control of PMSM to estimate rotor position and motor speed. Most sensor-less control algorithms use machine parameters like torque constant, stator inductances and stator resistance for estimating the rotor position and speed. However, with accuracy of such estimation and the performance of the motor degrades with variation in motor parameters. Model reference adaptive control (MRAC) provides a simple solution to this issue. An improved Adaptive neuro-fuzzy inference system (ANFIS) based MRAC observer for speed control of PMSM drive is presented in this paper. In the proposed method adaptive model and adaptive mechanism are replaced by an improved ANFIS controller, which neutralize the effect of parametric variation and results in improved performance of the drive. The modeling equations of PMSM are used to estimate the rotor position for speed and torque control of the drive. Simulation studies have been carried out under various operating condition using MATLAB/Simulink. In addition, a comparative analysis of the conventional MRAC based observer and improved ANFIS based MRAC observer is carried out. It is observed that the proposed method results in better performance of the PMSM drive.


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