Brushless Direct Current Motor Design and Analysis

Çetin, Emrah

doi:10.31031/cojec.2020.02.000534

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…In converting electricity to mechanical power, brushless motors are more efficient than brushed motors, mainly due to the absence of brushes, which reduces the loss of mechanical energy due to friction. This leads to higher efficiency in the no-load and low-load regions of the motor performance curve [23,24].…”

Section: Brushless DC Electric Motor Systemmentioning

confidence: 99%

Improving the Performance of the Chaotic Nonlinear System of the Fractional-Order Brushless Direct Current Electric Motor by Using Fractional-Order Sliding Mode Control

Kaveh

Vahedi

Gandomkar

2023

Preprint

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Chaos is a dynamic phenomenon that occurs over time in discrete and continuous nonlinear systems for some parameters, and chaotic systems are very sensitive to initial conditions. Controlling a chaotic system means eliminating its chaotic behavior and bringing the system to its origin equilibrium point or another desirable point. Moreover, as most natural systems have fractional dynamics, there is a clear need to study fractional systems. Nowadays, Brushless Direct Current (BLDC) electric motors are widely used as actuator components in many industries. Controlling these nonlinear and multivariable systems is of great importance. Additionally, these systems are often accompanied by parameter uncertainties and external disturbances, which may lead to undesirable and even unstable system behavior. In this research, a three-state-variable chaotic model is presented, and with the help of fractional-order sliding mode control strategy, the performance of the system is improved and controlled compared to conventional sliding mode control. It can be seen that the resistance of the fractional-order BLDC system with fractional-order sliding mode control is significantly higher than that of the conventional BLDC system with conventional sliding mode control against parameter uncertainties and external disturbances. Finally, the controller's performance is evaluated using MATLAB software.

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Section: Brushless DC Electric Motor Systemmentioning

confidence: 99%

Improving the Performance of the Chaotic Nonlinear System of the Fractional-Order Brushless Direct Current Electric Motor by Using Fractional-Order Sliding Mode Control

Kaveh

Vahedi

Gandomkar

2023

Preprint

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“…A DC motor is an electrical machine that consumes DC electrical power to produce mechanical torque [1]. The relatively high torque makes DC motors widely used, one of which is in CNC machines.…”

Section: Introductionmentioning

confidence: 99%

Simulation of AI-Based PID Controllers on DC Machines Using the MATLAB Application

Mauludin,

Nugroho,

Hidayat

et al. 2024

JESA

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The Proportional-Integral-Derivative (PID) controller is a widely used industrial feedback control algorithm that consists of proportional, integral, and derivative components. This PID control can measure process variables and calculate errors to generate accurate control signals. PID controllers are often used for DC motor speed control applications based on desired parameters. By applying artificial intelligence, PID controller performance can be improved by determining optimal values, automatically adjusting parameters, and responding quickly and accurately to changes in process variables. This article discusses the design of a DC motor PID controller for CNC machines using the MATLAB 2017a application. In this research, a numerical approach is employed using the Action Research (AR) method to enhance practitioners' methods/ways of understanding material learned in higher education. Implementing a DC motor controller with a closed loop PID controller block can reduce the rise time value in the design transfer function. The lowest settling time and the overshoot in the PID control can result in the lowest rise time value of 136,893 ms. These findings can serve as a reference for determining the appropriate tuning method to adjust the values of proportional gain, integral gain, and derivative gain in the PID control system, thereby enhancing the production effectiveness of CNC machines.

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Disturbance Observer-Based Bio-Inspired LQR Optimization for DC Motor Speed Control

Aremu,

Abdel-Nasser,

Alyazidi

et al. 2024

IEEE Access

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Brushless Direct Current Motor Design and Analysis

Cited by 5 publications

References 5 publications

Improving the Performance of the Chaotic Nonlinear System of the Fractional-Order Brushless Direct Current Electric Motor by Using Fractional-Order Sliding Mode Control

Improving the Performance of the Chaotic Nonlinear System of the Fractional-Order Brushless Direct Current Electric Motor by Using Fractional-Order Sliding Mode Control

Simulation of AI-Based PID Controllers on DC Machines Using the MATLAB Application

Disturbance Observer-Based Bio-Inspired LQR Optimization for DC Motor Speed Control

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