scholarly journals Comparative study of three different bridge-less converters for reduction of harmonic distortion in brushless DC motor

2020 ◽  
Vol 20 (3) ◽  
pp. 1185
Author(s):  
Santanu Mondal ◽  
Madhurima Chattopadhyay
Keyword(s):  
Comparative Study ◽  
Real Time ◽  
Hardware Implementation ◽  
Harmonic Distortion ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Stator Current ◽  
Different Types ◽  
Output Characteristics

<p>This paper represents a comparative study of three different types of DC-DC<br />converter that can be used for reduction of Total Harmonic Distortion (THD)<br />in stator current, back electromotive force (EMF) and torque of brush less<br />DC motor. In addition, the topologies of these converters are analysed, and<br />the THD of the output characteristics have also been studied. In this work,<br />SEPIC, Zeta and Flyback converters are considered and their outputs are fed<br />to the BLDCM with the help of universal bridge or six step inverter.<br />Moreover the THD of the output voltages are not only measured for three<br />converters but also reduced by tuning the parameters. At first these three<br />converters are modeled in MATLAB/ Simulink based simulation platform<br />and studied the performance individually and further executed with hardware<br />circuitry. Finally the output parameters from both software simulation and<br />real time hardware are compared for these three converters separately and got<br />satisfactory similar results. Again we studied the performance with these<br />converters in terms of efficiency while fed in the commutation drive circuitry<br />of BLDCM by considering minimum THD. From this comparative<br />simulation results, it has been observed that Zeta converter showed maximum<br />efficiency. Therefore, in real time hardware implementation, the<br />commutation drive circuitry of BLDCM is studied with Zeta converter. With<br />this configuration, a comparatively low THD of stator current, back EMF and<br />electromagnetic torque have been achieved in BLDCM with PID controller.</p>

scholarly journals Power Quality Improvement using Modified Cuk-Converter with Artificial Neural Network Controller Fed Brushless Dc Motor Drive

2019 ◽  
Vol 9 (2) ◽  
pp. 3871-3877
Keyword(s):  
Power Factor ◽  
Harmonic Distortion ◽  
Dc Motor ◽  
Pi Controller ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Cuk Converter ◽  
Brushless Dc ◽  
Neural Network Controller ◽  
Network Controller

Power factor rectification converter (PFRC) hinged bridgeless modified CUK (MCUK) converter supplied to brushless DC engine drive utilizing an Artificial Neural Network controller. Presently, alteration for traditional CUK converter can be obtained through adding a voltage multiplier circuit, to decrease converter losses for wide variation of speed to accomplish most extreme Power Factor and to limit the Total Harmonic Distortion (THD). The designed bridgeless PFRC based converter was investigated hypothetically to obtain the circumstances, for example, Power factor (PF) and Total Harmonic Distortion (THD) are assessed and contrasted with traditional Diode Bridge Rectifier hinged CUK converter supplying to brushless DC motor drive and bridgeless altered CUK using PI controller driven brushless DC motor. Here, simulation results uncover that the ANN controllers are viable and productive contrasted with PI controller, as the steady state error when ANN control used is less and the stabilization of the system is better while using it. Additionally in ANN system, the time to perform calculation is less as there are no numerical models. The performance of the designed framework is simulated in MATLAB/Simulink environment.

Research on Design of BLDCM Controlling System Based on FPGA

2014 ◽  
Vol 687-691 ◽  
pp. 3120-3123
Author(s):  
Ling Yin Hu
Keyword(s):  
Control System ◽  
Real Time ◽  
Dc Motor ◽  
Low Noise ◽  
Brushless Dc Motor ◽  
Current Loop ◽  
Large Power ◽  
Brushless Dc ◽  
Time Performance ◽  
Noise Characteristics

Brushless dc motor is widely used in high electric field because of its simple structure, large power density, excellent speed regulating performance, and low noise characteristics. This paper describes a brushless DC motor real-time control system based on FPGA. The DC motor is controlled by PWM model and control model which simple the circuit; Calculating the rate of motor by determining the impulse width of n. hall sensor signal; Adopting the soft-core processor embedded in FPGA process increment PID arithmetic control, improve the system real time performance. Experimental results show that the hardware and software are reasonable, owning very good reliability and real time performance. The control system's hardware circuit was designed and implemented such as FPGA periphery circuit, drive circuit, current detecting circuit and so on. And the control arithmetic of current loop, position loop and speed loop were designed and the closed loop control of control system in hardware was achieved.

The Rotational Speed Measurement of Brushless DC Motor Based on STM32 Microcontroller

2013 ◽  
Vol 760-762 ◽  
pp. 891-895
Author(s):  
Meng Bing ◽  
Fang Xiu Jia ◽  
Wen Jin Yao
Keyword(s):  
Real Time ◽  
Measurement System ◽  
Rotational Speed ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Flip Flop ◽  
Brushless Dc ◽  
Speed Measurement ◽  
Trajectory Correction ◽  
Hall Sensors

The brushless DC motor applied on the electric steering gear of trajectory correction projectiles often requires getting real-time rotational speed value. The hall sensors output the hall signals for measurement, after the integration by the D-type flip-flop, an ideal pulse can be produced. Afterwards STM32F103ZE microcontroller is used to calculate the rotational speed value of the motor by the Improved M/T method. The resolution and precision can be analyzed after getting the result. This rotational speed measurement system has high precision and good real-time characteristics. It is significant for the meaning of the correction of the steering gear.

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