Saliency Selection for Search-based AC Machine Low and Zero Speed Estimation Methods

2020 ◽  
Author(s):  
K. Scicluna ◽  
C. Spiteri Staines ◽  
R. Raute
Keyword(s):  
Estimation Methods ◽  
Speed Estimation ◽  
Selection For

Position and Speed Estimation Methods of SPMSMs using a Hall Effect Sensor

2008 ◽  
Vol 128 (2) ◽  
pp. 125-130
Author(s):  
Kan Akatsu ◽  
Nobuhiro Mitomo ◽  
Shinji Wakui
Keyword(s):  
Hall Effect ◽  
Estimation Methods ◽  
Speed Estimation ◽  
Hall Effect Sensor

scholarly journals Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller

2018 ◽  
Vol 8 (5) ◽  
pp. 2691
Author(s):  
Mini R ◽  
Shabana Backer P. ◽  
B. Hariram Satheesh ◽  
Dinesh M. N
Keyword(s):  
Comparative Analysis ◽  
Induction Motor ◽  
Reactive Power ◽  
Adaptive Controller ◽  
Operating Conditions ◽  
Estimation Methods ◽  
Speed Estimation ◽  
Loop Model ◽  
Low Speed ◽  
Rotor Flux

<p>This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are presented in this paper. The comparative analysis among these four speed estimation methods shows that reactive power MRAS with NFC as adaptation mechanism shows reduced speed estimation error and actual speed error at steady state operating conditions when the drive is subjected to low speed operation. Simulation carried out using MATLAB-Simulink software to validate the performance of the drive especially at low speeds with rated and variable load conditions.</p>

Performance Analysis of Tacholess Rotation Speed Estimation Methods for Condition Monitoring of Gearboxes of Offshore Wind Farm

2021 ◽  
Author(s):  
Cédric Peeters ◽  
Jérôme Antoni ◽  
Quentin Leclère ◽  
Jan Helsen
Keyword(s):  
Wind Farm ◽  
Rotation Speed ◽  
Probabilistic Approach ◽  
Offshore Wind ◽  
Estimation Methods ◽  
Offshore Wind Turbine ◽  
Large Set ◽  
Speed Estimation ◽  
Estimation Techniques ◽  
Vibration Data

Abstract This paper investigates the efficacy and reliability of three different state-of-the-art rotation speed estimation techniques on a very large set of experimental vibration data originating from thirty offshore wind turbine gearboxes. The three methods include the multi-order probabilistic approach, the phase demodulation method based on the frequency-domain energy operator, and the multi-harmonic demodulation technique. The goal is twofold: to assess statistically the performance of present-day vibration-based rotation speed estimation techniques on challenging experimental data, and to establish indirect rotation speed estimation through vibration data as a viable alternate solution to the conventional solution involving a direct measurement with a physical device such as a tachometer or an angle encoder. The results show that while all three techniques attain satisfying results, the multi-harmonic demodulation technique produces the most accurate speed estimate for the majority of all measurements whilst also being flexible in its usage.

scholarly journals Testing for departure from uniformity and estimating mean direction for circular data

2017 ◽  
Vol 13 (1) ◽  
pp. 20160756 ◽  
Author(s):  
Graeme D. Ruxton
Keyword(s):  
Parameter Estimation ◽  
Confidence Interval ◽  
Current Practice ◽  
Circular Data ◽  
Estimation Methods ◽  
Population Parameters ◽  
Biological Studies ◽  
Selection For ◽  
Parameter Estimation Methods ◽  
Biased Estimates

Although circular data are common in biological studies, the analysis of such data is often more rudimentary than it need be. One of the most common hypotheses tested is whether the data suggest that samples are clustered around a certain specified direction, rather than being uniformly spread across all possible directions. Here, I use data from a recent publication on the compass directions of epiphytes and mistletoes on tree trunks. This is used to demonstrate how with relatively little extra work researchers can improve the rigour of testing such hypotheses, and this improved rigour can lead to biological insights missed by simpler analyses. Specifically, I highlight that a much broader range of null hypotheses can be tested than current practice, and that a range of methods are available for estimating a confidence interval for mean direction. I offer advice on appropriate selection for both tests and parameter estimation methods, and highlight the need to correct for the fact that sample estimates are biased estimates of population parameters for circular data.

Sign in / Sign up

Export Citation Format

Share Document