scholarly journals Hands on Remote Learning Using a DC Motor Controller

2021 ◽  
Vol 21 (12) ◽  
Keyword(s):  
Dc Motor ◽  
Motor Controller ◽  
Hands On ◽  
Remote Learning

scholarly journals Multi-Objective On-Line Optimization Approach for the DC Motor Controller Tuning Using Differential Evolution

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 20393-20407 ◽  
Author(s):  
Miguel G. Villarreal-Cervantes ◽  
Alejandro Rodriguez-Molina ◽  
Consuelo-Varinia Garcia-Mendoza ◽  
Ollin Penaloza-Mejia ◽  
Gabriel Sepulveda-Cervantes
Keyword(s):  
Differential Evolution ◽  
Dc Motor ◽  
Optimization Approach ◽  
Controller Tuning ◽  
Multi Objective ◽  
Motor Controller ◽  
On Line

Evaluation of Remote Interface Component Alternatives for Teaching Tele-Robotic Operation

2012 ◽  
pp. 163-184
Author(s):  
Goldstain Ofir ◽  
Ben-Gal Irad ◽  
Bukchin Yossi
Keyword(s):  
Performance Measures ◽  
End Users ◽  
Computer Integrated Manufacturing ◽  
Learning Ability ◽  
Improvement Rate ◽  
Tel Aviv ◽  
Hands On ◽  
Overall Performance ◽  
The Given ◽  
Remote Learning

This chapter discusses a remote learning study conducted at the Computer-Integrated-Manufacturing (CIM) Laboratory in Tel-Aviv University. The goal is to provide remote end-users with an interface that enables them to teleoperate a robotic arm in conditions as close as possible to hands-on operation in the laboratory. This study evaluates the contribution of different interface components to the overall performance and the learning ability of potential end-users. Based on predefined experimental tasks, the study compares alternative interface designs for teleoperation. The three performance measures of the robot operation task are (1) the number of steps that are required to complete the given task, (2) the number of errors during the execution stage, and (3) the improvement rate of users. Guidelines for a better design of remote learning interfaces in robotics are provided based on the experimental results.

Energy-efficient and torque enhanced brushless DC motor controller

2016 ◽  
Author(s):  
Chang-Chi Lee ◽  
Gwo-Jen Chiou ◽  
Jeng-Yue Chen ◽  
Yao-Chun Tung ◽  
Shung-Hong Lu ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Motor Controller

scholarly journals Analyze and Evaluate the Performance Velocity Control in DC Motor

2020 ◽  
Vol 12 (4) ◽  
pp. 507-516
Author(s):  
Hazim M. Alkargole ◽  
◽  
Abbas S. Hassan ◽  
Raoof T. Hussein ◽  
◽  
...  
Keyword(s):  
Fuzzy Logic Controller ◽  
Linear Quadratic Regulator ◽  
Dc Motor ◽  
Rule Base ◽  
Velocity Control ◽  
Linear Quadratic ◽  
Proportional Integral ◽  
Motor Controller ◽  
Different Types ◽  
Rule Bases

A mathematical model of controlling the DC motor has been applied in this paper. There are many and different types of controllers have been used with purpose of analyzing and evaluating the performance of the of DC motor which are, Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Fuzzy Proportional Derivative (FPD) ,Proportional Integral Derivative (PID), Fuzzy Proportional Derivative with integral (FPD plus I) , and Fuzzy Proportional Integral (FPI) with membership functions of 3*3, 5*5, and 7*7 rule bases. The results show that the (FLC) controller with 5*5 rule base provides the best results among all the other controllers to design the DC motor controller.

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