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Torgue and flux ripple mitigation technique using multi-level inverter for sequential model predictive controlled induction motor

International Journal of Power Electronics and Drive Systems · Vol. 16 No. 1 (2025) · pp. 287–297

DOI
10.11591/ijpeds.v16.i1.pp287-297
ISSN
2722-256X, 2088-8694
Published
2025-03-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The control of electric motors presents a fascinating topic in the field of electrical engineering. Three-phase induction motors are extensively employed in industrial applications, because of their durability and cost-effectiveness. Hence, induction motor control research remains a major priority in electrical drive technology. Field-oriented control (FOC) and direct torque control (DTC) are the most common control methods for industrial applications up to now. Recently developed microcontroller processing capabilities have enabled novel control technology like model predictive control (MPC). High-performance drive systems could benefit from this new control method. One of MPC approach, referred to as finite control set-model predictive control (FCS-MPC), focuses on reducing a single cost function. This is achieved by adjusting a weighting factor to prioritize either torque or flux error reduction. However, the primary drawbacks of the standard FCS-MPC lie in determining these weighting factors and the variable switching frequency, which greatly varies based on the operational conditions. A control approach that eliminated the weighing factor was proposed. The proposed sequential model predictive control (SMPC) method is applied to a 3-phase induction motor operated by a 5-level CHB inverter. Simulation results matched theoretical analysis. Results demonstrated that stator flux and torque are independently controlled without weighting factor, and low harmonic distortion levels.

Keywords

Collaboration network of the authors

22 authors · 81 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Technology Malaysia
  • Universitas Ahmad Dahlan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Razman AyopAffiliation unknown5
Tole SutiknoUniversitas Ahmad Dahlan5
Nik Rumzi Nik IdrisUniversity of Technology Malaysia5
Hazlina SelamatAffiliation unknown3
Shahrin Md AyobAffiliation unknown2
Chee Wei TanAffiliation unknown2
Mohd Zaki DaudAffiliation unknown2
Md. Ashraf Ali KhanAffiliation unknown1
Kuber KuberAffiliation unknown1
Yusra WahabAffiliation unknown1
M. Saad ArifAffiliation unknown1
Abba Lawan BukarAffiliation unknown1
Syed Norazizul Syed NasirAffiliation unknown1
Lau Kwan YiewAffiliation unknown1
Rozana AlikUniversity of Technology Malaysia1
Aree WangsupphapholAffiliation unknown1
Yahya A. AlamriAffiliation unknown1
Ibrahim M. AlsofyaniAffiliation unknown1
Jasrul Jamani JamianUniversity of Technology Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Torgue and flux ripple mitigation technique using multi-level inverter for sequential model predictive controlled induction motor</dc:title>
	<dc:creator>Abobaker, Abobaker Kikki</dc:creator>
	<dc:creator>Nordin, Norjulia Mohamad</dc:creator>
	<dc:creator>Razak, Azizah Abdul</dc:creator>
	<dc:subject xml:lang="en-US">direct torque control; field-oriented control; induction motor; multilevel inverter; sequential model predictive control</dc:subject>
	<dc:description xml:lang="en-US">The control of electric motors presents a fascinating topic in the field of electrical engineering. Three-phase induction motors are extensively employed in industrial applications, because of their durability and cost-effectiveness. Hence, induction motor control research remains a major priority in electrical drive technology. Field-oriented control (FOC) and direct torque control (DTC) are the most common control methods for industrial applications up to now. Recently developed microcontroller processing capabilities have enabled novel control technology like model predictive control (MPC). High-performance drive systems could benefit from this new control method. One of MPC approach, referred to as finite control set-model predictive control (FCS-MPC), focuses on reducing a single cost function. This is achieved by adjusting a weighting factor to prioritize either torque or flux error reduction. However, the primary drawbacks of the standard FCS-MPC lie in determining these weighting factors and the variable switching frequency, which greatly varies based on the operational conditions. A control approach that eliminated the weighing factor was proposed. The proposed sequential model predictive control (SMPC) method is applied to a 3-phase induction motor operated by a 5-level CHB inverter. Simulation results matched theoretical analysis. Results demonstrated that stator flux and torque are independently controlled without weighting factor, and low harmonic distortion levels.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2025-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23565</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v16.i1.pp287-297</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 16, No 1: March 2025; 287-297</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v16.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23565/14854</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Abobaker Kikki Abobaker, Norjulia Mohamad Nordin, Azizah Abdul Razak</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>