Adaptive Threshold Correction Strategy for Sensorless High-Speed Brushless DC Drives Considering Zero-Crossing-Point Deviation

2020 ◽  
Vol 67 (7) ◽  
pp. 5246-5257 ◽  
Author(s):  
Lei Yang ◽  
Z. Q. Zhu ◽  
Bo Shuang ◽  
Hong Bin
Keyword(s):  
High Speed ◽  
Adaptive Threshold ◽  
Zero Crossing ◽  
Brushless Dc ◽  
Threshold Correction ◽  
Crossing Point

A Novel Speed Sensorless Control of Brushless DC Motor in Position Servo System

2011 ◽  
Vol 383-390 ◽  
pp. 4424-4431
Author(s):  
Chang Chun Chen ◽  
Jia Dan Wei ◽  
Bo Zhou ◽  
Guo Sheng Li
Keyword(s):  
High Speed ◽  
Short Pulse ◽  
Sensorless Control ◽  
Servo System ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Speed Sensorless ◽  
Zero Crossing ◽  
Brushless Dc ◽  
Position Servo

Zero crossing points of Back-Electromotive force (EMF) is the most mature and widely used method of the speed sensorless control of brushless DC motor (BLDCM). However, with the poor performance from standstill to low speed, it is not suitable for the position servo system. Therefore, this paper first analyzes several conventional speed sensorless control schemes in the BLDCM, then presents a novel control algorithms for the BLDCM. In the proposed method, the short pulse sensing method for the rotor position in the Start-Up process and self-synchronization with zero cross points of back-EMF are combined together. As a result, the BLDCM used in the position servo system can be easily controlled from zero to high speed, the theoretical analysis is verified by the simulation results based on Matlab, it shows that the proposed algorithms can improve the performances of position servo system compared with the conventional methods.

Research on Circuit Design for Speed Adjusting Hardware of Brushless DC Motor Based on the Two-Dimensional Fuzzy Controller

2013 ◽  
Vol 705 ◽  
pp. 509-515
Author(s):  
Chun Feng Li ◽  
Ke Ming Li ◽  
Xiang Zhang
Keyword(s):  
Circuit Design ◽  
High Speed ◽  
Fuzzy Controller ◽  
Two Dimensional ◽  
Zero Crossing ◽  
Brushless Dc Motors ◽  
General Design ◽  
Brushless Dc ◽  
Driver Circuit ◽  
Rotary Speed

The essay first establishes the general design for intelligent rotary speed system of the brushless DC motors, then based on the general design scheme, two-dimensional fuzzy controller, adaptive current adjustor and mainly used hardware circuits are designed. The mainly used hardware circuit design includes the circuit design of current detecting circuit, voltage detecting circuit, high-speed optocoupler, motor driver circuit, zero-crossing comparator circuit, etc. At last the designed controller and hardware circuits are tested to achieve optimum effects for rotary speed control through validation of experimental devices.

Development and Validation of Derivative Spectroscopic Method for Simultaneous Estimation of Cefadroxil and Probenecid

2014 ◽  
Vol 7 (1) ◽  
pp. 2350-2355
Author(s):  
Pratik S Mehta ◽  
Pratik R. Patel ◽  
Rajesh R Parmar ◽  
M M K Modasiya ◽  
Dushyant A Shah
Keyword(s):  
Spectroscopic Method ◽  
Spectral Interference ◽  
Synthetic Mixture ◽  
Simultaneous Estimation ◽  
Zero Crossing ◽  
First Order ◽  
Derivative Spectroscopy ◽  
Development And Validation ◽  
Crossing Point

A novel, simple, accurate, sensitive, precise and economical derivative spectroscopic method was developed and validated for the determination of cefadroxil and probenecid in synthetic mixture. First order derivative spectroscopy method was adopted to eliminate spectral interference. The method obeys Beer’s Law in concentration ranges of 4-36 μg/ml for cefadroxil and of 5-25 μg/ml of probenecid. The zero crossing point for cefadroxil and probenecid was 260 nm and 237.8 nm respectively in 0.1N HCl. The method was validated in terms of accuracy, precision, linearity, limits of detection, limits of quantitation. This method has been successively applied to synthetic mixture and no interference from the synthetic mixture’s excipients was found.   

scholarly journals Zero-Crossing Point Detection of Sinusoidal Signal in Presence of Noise and Harmonics Using Deep Neural Networks

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 329
Author(s):  
Venkataramana Veeramsetty ◽  
Bhavana Reddy Edudodla ◽  
Surender Reddy Salkuti
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Deep Neural Networks ◽  
Harmonic Distortion ◽  
Sinusoidal Signal ◽  
Zero Crossing ◽  
Complete Study ◽  
Consistent Performance ◽  
Point Detection ◽  
Crossing Point

Zero-crossing point detection is necessary to establish a consistent performance in various power system applications, such as grid synchronization, power conversion and switch-gear protection. In this paper, zero-crossing points of a sinusoidal signal are detected using deep neural networks. In order to train and evaluate the deep neural network model, new datasets for sinusoidal signals having noise levels from 5% to 50% and harmonic distortion from 10% to 50% are developed. This complete study is implemented in Google Colab using deep learning framework Keras. Results shows that the proposed deep learning model is able to detect zero-crossing points in a distorted sinusoidal signal with good accuracy.

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