Chaotic inertia weight and constriction factor-based PSO algorithm for BLDC motor drive control

2019 ◽  
Vol 5 (1) ◽  
pp. 30
Author(s):  
Manoj Kumar Merugumalla ◽  
Prema Kumar Navuri
Keyword(s):  
Pso Algorithm ◽  
Motor Drive ◽  
Bldc Motor ◽  
Inertia Weight ◽  
Drive Control ◽  
Constriction Factor

scholarly journals The Design and Implementation of a Sensorless Power Tool Based on a Microcontroller

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 921 ◽  
Author(s):  
Tze-Yee Ho ◽  
Cong-Khoi Huynh ◽  
Tsung-Hsien Lin ◽  
Shih-Wei Yang
Keyword(s):  
Hall Effect ◽  
Schmitt Trigger ◽  
Motor Drive ◽  
Bldc Motor ◽  
Zero Crossing ◽  
Drive Control ◽  
Power Tools ◽  
Point Detection ◽  
Motor Drive System ◽  
Conduction Mode

Power tools are basic working tools used for production and manufacturing in the machinery and mechanical industries. The motor drive plays an important role in power tool applications. The performance of the motor drive will then directly or indirectly affect the quality and precision of the processing metal components. Most of the traditional motor drive control of a brushless direct current (BLDC) motor employs the Hall-effect position sensors to detect the rotor position. However, the installing sensors are prone to degrading the performance due to variations in temperature and the harsh environment. This disadvantage can be overcome with sensorless solutions. Among these sensorless solutions, the zero-crossing point detection of the back electromotive force (BEMF) is popular. Nevertheless, for the 180-degree conduction mode, it is impossible to directly detect the BEMF because of the three terminals of the motor which are conducted at any time for an electrical cycle. Therefore, a novel sensorless circuit approach based on the terminal line to line voltage is proposed in this paper. Moreover, an improved circuit scheme with a Schmitt trigger for sensing the BEMF is also proposed and implemented to obtain the precisely resembling Hall-effect signals. Finally, a prototype of a sensorless BLDC motor drive with a 180-degree conduction mode speed control for power tools is designed and implemented in this paper. The experimental results show that the proposed circuit works properly and validates the feasibility and fidelity of the motor drive system.

scholarly journals Speed Control of BLDC Motor Based on Recurrent Wavelet Neural Network

2014 ◽  
Vol 10 (2) ◽  
pp. 118-129
Author(s):  
Adel Obed ◽  
Ameer Saleh
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Pso Algorithm ◽  
Wavelet Neural Network ◽  
Motor Drive ◽  
Bldc Motor ◽  
Wide Range ◽  
Stator Resistance ◽  
And Control ◽  
Self Learning

In recent years, artificial intelligence techniques such as wavelet neural network have been applied to control the speed of the BLDC motor drive. The BLDC motor is a multivariable and nonlinear system due to variations in stator resistance and moment of inertia. Therefore, it is not easy to obtain a good performance by applying conventional PID controller. The Recurrent Wavelet Neural Network (RWNN) is proposed, in this paper, with PID controller in parallel to produce a modified controller called RWNN-PID controller, which combines the capability of the artificial neural networks for learning from the BLDC motor drive and the capability of wavelet decomposition for identification and control of dynamic system and also having the ability of self-learning and self-adapting. The proposed controller is applied for controlling the speed of BLDC motor which provides a better performance than using conventional controllers with a wide range of speed. The parameters of the proposed controller are optimized using Particle Swarm Optimization (PSO) algorithm. The BLDC motor drive with RWNN-PID controller through simulation results proves a better in the performance and stability compared with using conventional PID and classical WNN-PID controllers.

Resonant BLDC Motor Drive System for Medical Applications

2019 ◽  
Vol 14 ◽  
Author(s):  
C. Vidhya ◽  
V. Ravikumar ◽  
S. Muralidha
Keyword(s):  
High Frequency ◽  
Pulse Width Modulation ◽  
Power Converter ◽  
Low Power Consumption ◽  
Motor Drive ◽  
Medical Applications ◽  
Bldc Motor ◽  
Three Phase ◽  
High Frequency Ac ◽  
Motor Drive System

: The objective of this paper is to implement an ac link universal power converter controlled BLDC motor for medical applications. The ac link universal power converter is a soft switched high frequency ac link converter, created using the parallel combination of an inductor and a capacitor. The parallel ac link converter handle the ac voltages and currents with low reactive ratings at the link and offers improved power factor, low power consumption, more efficiency and less weight on comparison with the traditional dc link converter. Because of the high throughput, BLDC motors are preferred widely medical applications. A modulation technique called Space Vector Pulse Width Modulation (SVPWM) is used to generate the three phase power for the BLDC motors from the input DC supply. To validate the proposed system, simulations are performed in MATLAB – Simulink and an experimental prototype is constructed to supplement the simulation results.

A High Performance of Induction Motor Drive System

2020 ◽  
Vol 13 (8) ◽  
pp. 1129-1134
Author(s):  
Cuifeng Shen ◽  
Hanhua Yang
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Fuzzy Controller ◽  
Drive System ◽  
Motor Drive ◽  
Deterministic System ◽  
Induction Motor Drive ◽  
Paper Making ◽  
Drive Control ◽  
Motor Drive System

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.

Sign in / Sign up

Export Citation Format

Share Document