Sensorless Speed Control for Brushless DC Motors System Using Sliding-Mode Controller and Observers

2016 ◽  
Author(s):  
Chunye Zheng ◽  
Yang Li
Keyword(s):  
Sliding Mode ◽  
Speed Control ◽  
Sliding Mode Controller ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

scholarly journals Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends

Sensors ◽  
2010 ◽  
Vol 10 (7) ◽  
pp. 6901-6947 ◽  
Author(s):  
José Carlos Gamazo-Real ◽  
Ernesto Vázquez-Sánchez ◽  
Jaime Gómez-Gil
Keyword(s):  
Speed Control ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

Design and Research of a Sliding Mode Observer Based on Line Back-EMF for Brushless DC Motors

2014 ◽  
Vol 615 ◽  
pp. 11-17
Author(s):  
Lai Cai Ju ◽  
Zi Qiang Wang ◽  
Meng Yu He
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
External Disturbances ◽  
Position Information ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Position Signal ◽  
Three Phase ◽  
On Line

This paper designs and implements a sliding mode observer with line-to-line trapezoidal back-EMF for brushless DC (BLDC) motor. Through the detection of three phase voltage and the current, the phase to-phase back-EMF is observed, and then the position signal and the rotor speed are estimated. The corresponding relationship between back-EMF and six rotor positions of the motor is established in this paper. With saturation function instead of sign function, the line current difference is used as the sliding surface. The whole control system employs an inner current PI loop with an outer speed PI loop. Simulation results show that the designed observer can correctly estimate the position information and speed, with strong robustness to changes of system parameters and external disturbances.

An Enhanced PID Controller for Speed Control of Brushless DC Motors Based on Convex Set Optimization

2010 ◽  
Vol 43 (22) ◽  
pp. 75-80 ◽  
Author(s):  
Chang Hyun Kim ◽  
Ji Hoon Yang ◽  
Dong Gyun Lim ◽  
Byung Suhl Suh
Keyword(s):  
Pid Controller ◽  
Convex Set ◽  
Speed Control ◽  
Set Optimization ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

scholarly journals Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor

2019 ◽  
Vol 10 (3) ◽  
pp. 1167
Author(s):  
Ali Mousmi ◽  
Ahmed Abbou ◽  
Yassine El Houm
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Fast Response ◽  
Bldc Motor ◽  
Tracking Accuracy ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

<span lang="EN-US">This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC motor 3KW. The obtained results are compared with those of a fuzzy logic and a conventional sliding mode controller. It allows to show performance of the proposed controller in terms of speed response and reaction against disturbances, which is improved more than 5 times without losing stability or altering tracking accuracy</span>

scholarly journals Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network

2019 ◽  
Vol 9 (1) ◽  
pp. 2210-2213
Keyword(s):  
Neural Network ◽  
Simulation Study ◽  
Pid Controller ◽  
Speed Control ◽  
Open Loop ◽  
Bldc Motor ◽  
Variable Speed ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.

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