Control of Brushless Direct-Current Motors Using Bioelectric EMG Signals

Abstract

(1) Background: The purpose of this study was to evaluate the analysis of measurements of bioelectric signals obtained from electromyographic sensors. A system that controls the speed and direction of rotation of a brushless DC motor (BLDC) was developed; (2) Methods: The system was designed and constructed for the acquisition and processing of differential muscle signals. Basic information for the development of the EMG signal processing system was also provided. A controller system implementing the algorithm necessary to control the speed and direction of rotation of the drive rotor was proposed; (3) Results: Using two muscle groups (biceps brachii and triceps), it was possible to control the direction and speed of rotation of the drive unit. The control system changed the rotational speed of the brushless motor with a delay of about 0.5 s in relation to the registered EMG signal amplitude change; (4) Conclusions: The prepared system meets all the design assumptions. In addition, it is scalable and allows users to adjust the signal level. Our designed system can be implemented for rehabilitation, and in exoskeletons or prostheses.

Design of brushless motor control system based on FOC algorithm

“…The method of switching the current in an electromagnet using an electronic commutator is called a Brushless motor because it has no mechanical brush. The Brushless motor driver is composed of a driving section, a control section, a detecting section and a power supply section [7][8] .…”

Novel Design of a Robotic Arm Prototype with Complex Movements Based on Surface EMG Signals to Assist Disabilities in Vietnam

“…Recently, with the development of semiconductor technology, there have been many successful studies in developing EMG sensors that are increasingly compact, consume less power, and are more accurate [5][6][7][8][9][10][11][12][13]. For example, in study [7], the authors implemented a highfrequency and low-power sEMG signal acquisition system.…”

Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer

“…Many studies were conducted on many aspects, such as control relating to its energy consumption [6] and its angular position control [7]. Relating to its speed, the two most controlled variables of a DC motor involve its speed and rotation direction, as reported by Glowinski et al [8]. Speed controlling is very important in the application of DC motors, so that has attracted researchers to work in it, for example, by Tapia-Olvera et al [9], Alejandro-Sanjines et al [10] and other published works.…”