Simulation of SPWM Fed Three-phase Induction Motor Drive Mathematical Model Using MATLAB Simulink
- DOI
- 10.2991/jrnal.k.200909.006How to use a DOI?
- Keywords
- Three-phase induction motor; DQ-model; voltage source inverter; SPWM
- Abstract
Three-phase induction motors are used in a vast area of applications mainly due to their simplicity, ruggedness and high reliability. With recent advancement in semiconductor technologies, the use of fixed speed induction motor drive is becoming obsolete, majority of the applications now requires inverter-based drives for variable speed operation. In the study of induction motor drive operation, mathematical models are often used to simulate the steady state and transient behavior of induction motor. However, developing such models are not as simple. One must develop the understanding of the mathematical equations to be used and also having the knowledge to solve the equations with the use of computer simulation software. To address this issue, this work presents an approach to implement the mathematical model of a Sinusoidal Pulse Width Modulation (SPWM) fed three-phase induction motor drive in MATLAB Simulink. The sub models include induction motor direct quadrature-model and a voltage source inverter fed by SPWM signal generator. The presented model implementation is able to simulate the dynamic behavior of an induction motor operation, this mathematical model implementation would be useful for further studies on the development of induction motor drive system.
- Copyright
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - Amir Rasyadan AU - Sazali bin Yaacob AU - Pranesh Krishnan AU - Mohamed Rizon AU - Chun Kit Ang PY - 2020 DA - 2020/09/14 TI - Simulation of SPWM Fed Three-phase Induction Motor Drive Mathematical Model Using MATLAB Simulink JO - Journal of Robotics, Networking and Artificial Life SP - 170 EP - 174 VL - 7 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200909.006 DO - 10.2991/jrnal.k.200909.006 ID - Rasyadan2020 ER -