UKF &amp;#x2014; Based for sensorless brushless DC motor control

Lv, Haidong; Wei, Guoliang; Ding, Zhugang

doi:10.1109/icmc.2014.7231547

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this algorithm, they have wanted to predict the position and speed of the motor by measuring the terminal voltages and three-phase currents. According to the simulation results, they have observed the accuracy of the algorithm [24].…”

Section: Fig 1 Bldc Motormentioning

confidence: 94%

Elektrikli Araç için BLDC Motorun Yük Momenti Kestirimi Yapabilen EKF Tabanlı Hız-Algılaycısız DTC'si

İnan¹,

ÜZÜM

2022

EJOSAT

View full text Add to dashboard Cite

This study presents the simulation of brushless DC (BLDC) motor control in MATLAB/Simulink simulation environment with model-based and direct torque control (DTC) method with extended kalman filter (EKF). In this study, a control method based on DTC method is tested to control a nonlinear BLDC motor with extended kalman filter. In this method, an accurate control can be made thanks to the load moment estimation, which is not found in the literature. As a result of the tests have carried out at low and high speeds, it is concluded that the system can lead to real-time systems.

show abstract

Section: Fig 1 Bldc Motormentioning

confidence: 94%

Elektrikli Araç için BLDC Motorun Yük Momenti Kestirimi Yapabilen EKF Tabanlı Hız-Algılaycısız DTC'si

İnan¹,

ÜZÜM

2022

EJOSAT

View full text Add to dashboard Cite

show abstract

“…The UKF [28,29] is based on the propagation of the sigma points, calculated from the state and the state covariance matrix, on non-linear equations of the model. This algorithm needs to run recursively starting from the initial condition: …”

Section: Unscented Kalman Filter (Ukf)mentioning

confidence: 99%

DocuScooter: An Innovative Underwater Scooter add-on for Scuba Diving and Citizen Science

Panebianco

Scaradozzi

Ciuccoli

et al. 2017

IRATJ

View full text Add to dashboard Cite

In order to obtain robust and measurable data from the marine environment, citizen science projects need user-friendly tools that, during dives, autonomously gather information in an easy, low-cost and integrated way. Data collected from different devices and by different untrained divers must have good estimation of the position where the information has been acquired. With this goal, in the context of the Green Bubbles project, a novel platform, called DocuScooter has been designed and developed. DocuScooter implements all the algorithms to filter and merge data with correct timestamp and position preparing the complete mission report. After the mission, the diver can upload the report on an appropriate web service to produce a 3D documentation. In order to obtain the underwater position during the dive, a tailored device compatible with the platform is also presented. Result of the prototype of the platform and the first results of the position estimation algorithm are presented and discussed.

show abstract

Control System Design for Cogging Torque Reduction Based on Sensor-Less Architecture

Dini

Saponara

2020

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

UKF — Based for sensorless brushless DC motor control

Cited by 4 publications

References 9 publications

Elektrikli Araç için BLDC Motorun Yük Momenti Kestirimi Yapabilen EKF Tabanlı Hız-Algılaycısız DTC'si

Elektrikli Araç için BLDC Motorun Yük Momenti Kestirimi Yapabilen EKF Tabanlı Hız-Algılaycısız DTC'si

DocuScooter: An Innovative Underwater Scooter add-on for Scuba Diving and Citizen Science

Control System Design for Cogging Torque Reduction Based on Sensor-Less Architecture

Contact Info

Product

Resources

About