A study of sensorless speed estimation and model predictive control of an induction motor
Shubham Dhongade
, Prof. Rekha Tidke
Model predictive control, induction motor, sensorless control
The study is focused on predictive control algorithm Model, induction motor (IM) modeling, sensorless speed techniques for speed estimation. In this report, torque and flux are controlled using a model predictive control algorithm for an induction motor with speed estimation by sensorless speed technique. Mathematical modeling of asynchronous motor is done using only two state variables, the stator current and rotor flux, ψr and the electromagnetic torque obtained as a function of these two state variables. The rate of direct synthesis is estimated from the equations of state. The dynamic state equations ds – qs of the machine are modified to estimate the velocity signal. Synthesis is highly sensitive to machine parameters. A fault observer is also implemented to obtain a better torque reference.
"A study of sensorless speed estimation and model predictive control of an induction motor", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.99 - 106, January-2023, Available :https://ijsdr.org/papers/IJSDR2301018.pdf
Volume 8
Issue 1,
January-2023
Pages : 99 - 106
Paper Reg. ID: IJSDR_203400
Published Paper Id: IJSDR2301018
Downloads: 000347176
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
