Modeling and simulation of brushless dc motor control system for EPS applications

2012 ◽  
Author(s):  
Xuewu Ji ◽  
Xuefeng Zhang ◽  
Yahui Liu
Keyword(s):  
Motor Control ◽  
Control System ◽  
Modeling And Simulation ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
Motor Control System

Research and Realization on Sensorless Brushless DC Motor Control System

2014 ◽  
Vol 687-691 ◽  
pp. 183-186 ◽  
Author(s):  
Yu Hong Liang ◽  
Hai Bo Huang ◽  
Deng Liang Cheng ◽  
Jian Ping Lan
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Algorithm ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Zero Crossing ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
Motor Control System

Brushless DC Motor is a kind of a new motor which commutation signals replaces traditional motor mechanical structure with electronic signals. Square wave brushless DC motor can be divided into sensor motor and sensorless motor. Position sensor will increase system cost, motor size and maintenance difficulty, which bring about limitation and limits to promote its application in all areas. This project designs sensorless BLDC Motor control system with the core of the stm32 micro-controller and uses Back-EMF zero-crossing detection method. In the system designing software control algorithm, drawing schematic diagram of hardware and making PCB board have been completed dependently. The experimental results show that the system can well realize the starting and running of sensorless BLDC Motor control system, and have a good measure of protection.

Design and Simulation of Brushless DC Motor Control System Based on DSP

2011 ◽  
Vol 109 ◽  
pp. 395-399
Author(s):  
Xia Zhang ◽  
Ren Yun Sun ◽  
Xi Ming Liu
Keyword(s):  
Motor Control ◽  
Control System ◽  
Sensorless Control ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Position Detection ◽  
Dc Motor Control ◽  
Motor Control System ◽  
Key Techniques

Based on the principle of sensorless control of brushless DC motor (BLDC) and combining the characteristics of TMS320LF2407A, this paper mainly researched on the key techniques of position detection and starting for sensorless BLDC. And put forward a sensorless BLDC control system, which combined back-EMF and pre-position start mode. The simulation has shown that the control system meets the requirements of stability and rapidity, and it is able to control motor precisely.

Single Neuron PID Adaptive Control for BLDCM Based on Algebraic Algorithm

2012 ◽  
Vol 220-223 ◽  
pp. 851-854
Author(s):  
Yan Diao ◽  
Hong Ping Jia ◽  
Tian Jun Geng
Keyword(s):  
Adaptive Control ◽  
Motor Control ◽  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Dc Motor Control ◽  
Motor Control System

The brushless DC motor control system often adopts the classic PID control, the advantages of which are as follows: simple to control, easy to adjust the parameter and a certain degree of control precision. But it relies on accurate mathematical model. The permanent magnet brushless DC motor control system is a multi-variable and nonlinear. As to the deficiencies of the classic PID control method, this thesis proposes a method called artificial neural network PID adaptive control method, which is based on algebraic algorithm and overcomes the shortcomings such as the slow convergence of BP algorithm, easy to trap in local minimum, and etc.

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