Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter

One of the most exciting and challenging problem is the control of induction machines (IMs). An advanced control strategy with a three-phase inverter to drive an induction motor (IM) is a conventional model predictive control (MPC). However, the use of a conventional MPC 3-phase inverter leads to th...

Full description

Bibliographic Details
Main Authors: Abobaker, Abobaker K., Mohamad Nordin, Norjulia, Ahmad Azli, Naziha, Ayop, Razman, Mohd. Subha, Nurul Adilla
Format: Conference or Workshop Item
Published: 2021
Subjects:
_version_ 1796866167189536768
author Abobaker, Abobaker K.
Mohamad Nordin, Norjulia
Ahmad Azli, Naziha
Ayop, Razman
Mohd. Subha, Nurul Adilla
author_facet Abobaker, Abobaker K.
Mohamad Nordin, Norjulia
Ahmad Azli, Naziha
Ayop, Razman
Mohd. Subha, Nurul Adilla
author_sort Abobaker, Abobaker K.
collection ePrints
description One of the most exciting and challenging problem is the control of induction machines (IMs). An advanced control strategy with a three-phase inverter to drive an induction motor (IM) is a conventional model predictive control (MPC). However, the use of a conventional MPC 3-phase inverter leads to the generation of extensive harmonic content due to a limited voltage vector, resulting in high ripples of torque and flux. Besides, the calculation of weighting factor by error is complex and so is the selection for three different objectives. Hence, this paper aims to propose simple technique with a multilevel cascaded high bridge inverter (5-level CHB) for predictive torque and flux control to drive IM with lower harmonic content in stator current without using the weighting factor to optimize the MPC cost function. Precisely in this method, the torque is being calculated using one cost function while the flux is being calculated using a decupled cost function. It is expected to improve steady-state performance, achieves a more effective performance, and decreases torque and flux ripples in terms of current distortion.
first_indexed 2024-03-05T21:08:07Z
format Conference or Workshop Item
id utm.eprints-96166
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T21:08:07Z
publishDate 2021
record_format dspace
spelling utm.eprints-961662022-07-04T07:45:50Z http://eprints.utm.my/96166/ Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter Abobaker, Abobaker K. Mohamad Nordin, Norjulia Ahmad Azli, Naziha Ayop, Razman Mohd. Subha, Nurul Adilla TK Electrical engineering. Electronics Nuclear engineering One of the most exciting and challenging problem is the control of induction machines (IMs). An advanced control strategy with a three-phase inverter to drive an induction motor (IM) is a conventional model predictive control (MPC). However, the use of a conventional MPC 3-phase inverter leads to the generation of extensive harmonic content due to a limited voltage vector, resulting in high ripples of torque and flux. Besides, the calculation of weighting factor by error is complex and so is the selection for three different objectives. Hence, this paper aims to propose simple technique with a multilevel cascaded high bridge inverter (5-level CHB) for predictive torque and flux control to drive IM with lower harmonic content in stator current without using the weighting factor to optimize the MPC cost function. Precisely in this method, the torque is being calculated using one cost function while the flux is being calculated using a decupled cost function. It is expected to improve steady-state performance, achieves a more effective performance, and decreases torque and flux ripples in terms of current distortion. 2021 Conference or Workshop Item PeerReviewed Abobaker, Abobaker K. and Mohamad Nordin, Norjulia and Ahmad Azli, Naziha and Ayop, Razman and Mohd. Subha, Nurul Adilla (2021) Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter. In: 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021, 5 - 6 April 2021, Virtual, Online. http://dx.doi.org/10.1007/978-981-16-8129-5_23
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abobaker, Abobaker K.
Mohamad Nordin, Norjulia
Ahmad Azli, Naziha
Ayop, Razman
Mohd. Subha, Nurul Adilla
Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title_full Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title_fullStr Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title_full_unstemmed Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title_short Model predictive control for induction motor Fed by 5-level cascaded H-bridge inverter
title_sort model predictive control for induction motor fed by 5 level cascaded h bridge inverter
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT abobakerabobakerk modelpredictivecontrolforinductionmotorfedby5levelcascadedhbridgeinverter
AT mohamadnordinnorjulia modelpredictivecontrolforinductionmotorfedby5levelcascadedhbridgeinverter
AT ahmadazlinaziha modelpredictivecontrolforinductionmotorfedby5levelcascadedhbridgeinverter
AT ayoprazman modelpredictivecontrolforinductionmotorfedby5levelcascadedhbridgeinverter
AT mohdsubhanuruladilla modelpredictivecontrolforinductionmotorfedby5levelcascadedhbridgeinverter