[HTML][HTML] Torque ripples reduction of electric vehicle synchronous reluctance motor drive using the strong action controller
AM Abou-ElSoud, ASA Nada, AAM Abdel-Aziz… - Ain Shams Engineering …, 2024 - Elsevier
Abstract Smart, Micro and Nano-grids are the future of electric power systems. In parallel
with this future, electric vehicles (EVs) take a great deal of attention, as they are one of the …
with this future, electric vehicles (EVs) take a great deal of attention, as they are one of the …
Investigation for performances comparison PI, adaptive PI, fuzzy speed control induction motor for centrifugal pumping application
SVK Arun, U Subramaniam… - 2019 IEEE 13th …, 2019 - ieeexplore.ieee.org
Among the total energy consumed by presently installed utilities, pumping systems
contributes nearly 30% of them that are controlled through induction motor. The flow rate of …
contributes nearly 30% of them that are controlled through induction motor. The flow rate of …
Power quality performance analysis of grid tied PV fed parallel pumping system under normal and vibrating condition
The aim of this paper is to perform the relative study of power quality problems in a grid tied
solar PV system, with and without vibration connected to a parallel pumping system at 1.0 …
solar PV system, with and without vibration connected to a parallel pumping system at 1.0 …
Comparative study of cavitation problem detection in pumping system using SVM and K-nearest neighbour method
N Dutta, U Subramaniam… - … on Environment and …, 2020 - ieeexplore.ieee.org
Machine learning is a fast-computational method and data analytics technique by which
information be learned directly from the data without any predetermined equation as a …
information be learned directly from the data without any predetermined equation as a …
Application of machine learning algorithm for anomaly detection for industrial pumps
N Dutta, P Kaliannan, U Subramaniam - Machine Learning Algorithms for …, 2021 - Springer
Automation technology has brought a pragmatic change in the field of industrial sector,
commerce and agricultural sector etc. where machine learning algorithm is one of the …
commerce and agricultural sector etc. where machine learning algorithm is one of the …
Speed Sensorless Control of Synchronous Reluctance Motor
ME Boussouar - 2024 - thesis.univ-biskra.dz
The research presented in this thesis, contribute to the Synchronous Reluctance Machine
(SynRM) control and performance improvement, a lesser-known but promising technology …
(SynRM) control and performance improvement, a lesser-known but promising technology …
ANFIS-DTC based solar PV water pumping using synchronous reluctance motor
VKA Shankar, S Umashankar… - … in Power and Energy …, 2017 - ieeexplore.ieee.org
This paper presents an intelligent adaptive neuro fuzzy inference control of synchronous
reluctance motor the proposed adaptive neuro fuzzy inference system algorithm for motor …
reluctance motor the proposed adaptive neuro fuzzy inference system algorithm for motor …