Mr S M Muslem Uddin

Mr S M Muslem Uddin

Research student

Career Summary

Biography

S M Muslem Uddin received the B.Sc. degree in electrical and electronic engineering from the Chittagong University of Engineering and Technology (CUET), Bangladesh, in 2009, and the Master of Engineering Science degree in Electrical Engineering from the University of Malaya, Malaysia, in 2015. Currently, he is pursuing his PhD degree in Electrical Engineering at the University of Newcastle, Australia. 
He has more than six years of research experiences in different universities. He has taught undergraduate courses in electrical circuits, power electronics, electrical machines, power systems, renewable energy systems, solid state devices.

During his Masters degree, he received the ‘Best Paper Award’ from IEEE 30th Applied Power Electronics Conference and Exposition (APEC 2015), Charlotte, NC, USA, for his excellent research in motor drive and predictive control application.

Uddin has served as a regular reviewer of many journals and conferences, including IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, Journal of Power Electronics (JPE), Journal of Electrical Engineering & Technology (JEET), Electric Power Components & Systems, IEEE Southern Power Electronics Conference (SPEC), IEEE International Conference on Electrical Machines and Systems (ICEMS), and IEEE Conference on Industrial Electronics and Applications (ICIEA), and so on.

His research interests includes power electronics, predictive control, modulation techniques, matrix converters and power systems.


Keywords

  • Control of Power Converters
  • Electrical Machines and Drives
  • Model Predictive Control
  • Modulation Techniques
  • Power Electronics
  • Power Systems

Languages

  • Bengali (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
090699 Electrical and Electronic Engineering not elsewhere classified 30
090607 Power and Energy Systems Engineering (excl. Renewable Power) 70

Professional Experience

Academic appointment

Dates Title Organisation / Department
8/02/2012 - 19/07/2015 Research Assistant University of Malaya (UM)
Electrical Engineering
Malaysia
4/09/2010 - 26/01/2012 Lecturer University of Information Technology & Sciences
Electrical and Electronic Engineering
Bangladesh
7/10/2009 - 6/08/2010 Research Assistant Chittagong University of Engineering & Technology (CUET)
Electrical and Electronic Engineering
Bangladesh

Teaching appointment

Dates Title Organisation / Department
1/01/2018 -  Casual Academic University of Newcastle - School of Electrical Engineering and Computing | Australia
Australia

Awards

Award

Year Award
2017 The University of Newcastle Research Scholarship Central 50:50 (UNRSC50:50)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
2017 The University of Newcastle International Postgraduate Research Scholarship (UNIPRS)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
2012 Graduate Research Assistant Scheme scholarship
University of Malaya
2007 Export Import Bank (EXIM Bank) Scholarship
Export Import Bank (EXIM Bank) Ltd.

Prize

Year Award
2015 Best Paper Award
30th Annual IEEE Applied Power Electronics Conference & Exposition (APEC-2015)

Invitations

Committee Member

Year Title / Rationale
2019 IEEE 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019)

Teaching

Code Course Role Duration
ELEC2132 Electric Energy Systems
Faculty of Engineering and Built Environment, University of Newcastle
Lab Demonstrator 1/08/2018 - 31/10/2018
ELEC4100 Electrical Systems
Faculty of Engineering and Built Environment, University of Newcastle
Casual Marking 1/06/2018 - 8/06/2018
ELEC4160 Advanced Drives and Power Electronics
Faculty of Engineering and Built Environment, University of Newcastle
Casual Marking 7/11/2018 - 9/11/2018
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (5 outputs)

Year Citation Altmetrics Link
2018 Uddin M, Mekhilef S, Rivera M, 'High performance modified model predictive control of a voltage source inverter', Electric Power Components and Systems, 46 600-613 (2018) [C1]
DOI 10.1080/15325008.2018.1459959
2015 Akter P, Uddin M, Mekhilef S, Tan NML, Akagi H, 'Model predictive control of bidirectional isolated DC-DC converter for energy conversion system', International Journal of Electronics, 102 1407-1427 (2015)

© 2015 Taylor & Francis. Model predictive control (MPC) is a powerful and emerging control algorithm in the field of power converters and energy conversion systems. This pap... [more]

© 2015 Taylor & Francis. Model predictive control (MPC) is a powerful and emerging control algorithm in the field of power converters and energy conversion systems. This paper proposes a model predictive algorithm to control the power flow between the high-voltage and lowvoltage DC buses of a bidirectional isolated full-bridge DC-DC converter. The predictive control algorithm utilises the discrete nature of the power converters and predicts the future nature of the system, which are compared with the references to calculate the cost function. The switching state that minimises the cost function is selected for firing the converter in the next sampling time period. The proposed MPC bidirectional DC-DC converter is simulated with MATLAB/Simulink and further verified with a 2.5 kW experimental configuration. Both the simulation and experimental results confirm that the proposed MPC algorithm of the DC-DC converter reduces reactive power by avoiding the phase shift between primary and secondary sides of the high-frequency transformer and allow power transfer with unity power factor. Finally, an efficiency comparison is performed between the MPC and dualphase-shift-based pulse-width modulation controlled DC-DC converter which ensures the effectiveness of the MPC controller.

DOI 10.1080/00207217.2015.1028479
Citations Scopus - 14Web of Science - 12
2015 Uddin M, Mekhilef S, Rivera M, 'Experimental validation of minimum cost function-based model predictive converter control with efficient reference tracking', IET Power Electronics, 8 278-287 (2015)

© The Institution of Engineering and Technology 2015. This study proposes a robust and powerful finite control set-model predictive control (MPC) algorithm to control the load cur... [more]

© The Institution of Engineering and Technology 2015. This study proposes a robust and powerful finite control set-model predictive control (MPC) algorithm to control the load current with lower total harmonic distortion and efficient reference tracking. In this control, the cost functions are determined for all the possible switching states of the converter and a switching state is selected corresponding to the minimum cost function for actuating the converter in the next sampling time period. To justify the performance of the proposed MPC scheme, a comprehensive study with the carrier-based pulse-width modulation, hysteresis current control and proposed minimum cost function-based MPC of the three-phase load current has been verified in MATLAB Simulink as well as the validation with dSPACE RTI1104 experimentation. This study validates the robustness of the proposed minimum cost function-based MPC control with a RL-load and three-phase induction motor (IM) load. The simulation and experimental results justifies the proposed MPC algorithm with potential tracking of the RL-load current corresponding to the reference current with lower harmonic contents as well as tracking of predictive torque and flux compared to the nominal torque and reference flux of IM, respectively.

DOI 10.1049/iet-pel.2014.0368
Citations Scopus - 27Web of Science - 24
2015 Uddin M, Mekhilef S, Rivera M, Rodriguez J, 'Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm', Journal of Electrical Engineering and Technology, 10 227-242 (2015)

© The Korean Institute of Electrical Engineers. This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induct... [more]

© The Korean Institute of Electrical Engineers. This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). In this paper, the torque ripple behavior is analyzed to validate the proposed weighting factor optimization method in the predictive control platform and shows the effectiveness of the system. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponds to minimum torque ripple and is compared with the results of conventional weighting factor based predictive control algorithm. The predictive control algorithm selects the optimum switching state that minimizes a cost function based on optimized weighting factor to actuate the indirect matrix converter. The conventional and introduced weighting factor optimization method in predictive control algorithm are validated through simulations and experimental validation in DS1104 R&D controller platform and show the potential control, tracking of variables with their respective references and consequently reduces the torque ripple.

DOI 10.5370/JEET.2015.10.1.227
Citations Scopus - 19Web of Science - 15
2014 Uddin M, Mekhilef S, Mubin M, Rivera M, Rodriguez J, 'Model predictive torque ripple reduction with weighting factor optimization fed by an indirect matrix converter', Electric Power Components and Systems, 42 1059-1069 (2014)

Model predictive control has emerged as a powerful control tool in the field of power converter and drive's system. In this article, a weighting factor optimization for reduc... [more]

Model predictive control has emerged as a powerful control tool in the field of power converter and drive's system. In this article, a weighting factor optimization for reducing the torque ripple of induction machine fed by an indirect matrix converter is introduced and presented. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponding to minimum torque ripple. However, model predictive torque and flux control of the induction machine with conventionally selected weighting factor is being investigated in this article and is compared with the proposed optimum weighting factor based model predictive control algorithm to reduce the torque ripples. The proposed model predictive control scheme utilizes the discrete phenomena of power converter and predicts the future nature of the system variables. For the next sampling period, model predictive method selects the optimized switching state that minimizes a cost function based on optimized weighting factor to actuate the power converter. The introduced weighting factor optimization method in model predictive control algorithm is validated through simulations and shows potential control, tracking of variables with their respective references and consequently reduces the torque ripples corresponding to conventional weighting factor based predictive control method. © 2014 Taylor & Francis Group, LLC.

DOI 10.1080/15325008.2014.913739
Citations Scopus - 28Web of Science - 23
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Conference (13 outputs)

Year Citation Altmetrics Link
2018 Uddin M, Mirzaeva G, Goodwin G, Rivera M, 'Computationally Efficient Model Predictive Control of a Four-Leg Inverter for Common Mode Voltage Elimination', 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, USA (2018) [E1]
DOI 10.1109/ECCE.2018.8558400
Citations Scopus - 1
Co-authors Graham Goodwin, Galina Mirzaeva
2018 Uddin SMM, Mirzaeva G, Goodwin GC, Stepien P, Zanchetta P, Wheeler P, 'Common Mode Voltage Elimination in Industrial AC-AC Converters Based on Model Predictive Control', 2018 IEEE Industry Applications Society Annual Meeting (IAS), Portland, OR, USA (2018) [E1]
DOI 10.1109/IAS.2018.8544485
Citations Scopus - 2
Co-authors Galina Mirzaeva, Graham Goodwin
2018 Uddin M, Mirzaeva G, Stepien P, De Lillo L, Empringham L, Rojas F, 'Common Mode Voltage Mitigation in Industrial Three-Phase Inverters Based on Model Predictive Control', 2018 IEEE Industry Applications Society Annual Meeting (IAS), Portland, OR, USA (2018) [E1]
DOI 10.1109/IAS.2018.8544619
Co-authors Galina Mirzaeva
2018 Uddin SMM, Mirzaeva G, Goodwin G, Zanchetta P, 'Computationally Efficient Model Predictive Control for AC-DC-AC Converter with Common Mode Voltage Elimination', 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, USA. (2018) [E1]
DOI 10.1109/ECCE.2018.8557733
Co-authors Graham Goodwin, Galina Mirzaeva
2018 Uddin SMM, Mirzaeva G, Goodwin G, 'Model Predictive Control of Direct Matrix Converter with Common Mode Voltage Elimination', 2018 IEEE 4th Southern Power Electronics Conference (SPEC), Singapore (2018) [E1]
DOI 10.1109/SPEC.2018.8635925
Co-authors Galina Mirzaeva, Graham Goodwin
2017 Uddin S, Mirzaeva G, Goodwin G, Stepien P, 'A simplified model predictive control to eliminate common mode voltage of an AC motor fed by a neutral point clamped inverter', Sydney, Australia (2017) [E1]
DOI 10.1109/ICEMS.2017.8056507
Citations Scopus - 6
Co-authors Graham Goodwin, Galina Mirzaeva
2017 Uddin SMM, Mirzaeva G, Goodwin G, 'Computationally efficient modified model predictive control for 2L-VSI with common mode voltage mitigation', Proceedings 2017 IEEE Southern Power Electronics Conference (SPEC), Puerto Varas, Chile (2017) [E1]
DOI 10.1109/SPEC.2017.8333602
Citations Scopus - 3
Co-authors Galina Mirzaeva, Graham Goodwin
2017 Uddin S, Mirzaeva G, Goodwin G, 'Recent advances in common mode voltage mitigation techniques based on MPC', 2017 Australasian Universities Power Engineering Conference (AUPEC), Melbourne, Australia (2017) [E1]
DOI 10.1109/AUPEC.2017.8282476
Citations Scopus - 4
Co-authors Graham Goodwin, Galina Mirzaeva
2015 Uddin M, Mekhilef S, Nakaoka M, Rivera M, 'Model predictive control of induction motor with delay time compensation: An experimental assessment', Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC (2015)

© 2015 IEEE. This paper proposes a delay time compensation method in the model predictive control (MPC) of induction motor (IM) at high and low speed considering the selection of ... [more]

© 2015 IEEE. This paper proposes a delay time compensation method in the model predictive control (MPC) of induction motor (IM) at high and low speed considering the selection of optimum switching vector to actuate the three-phase voltage source inverter (VSI). The proposed control method compensates the delay time to improve the performance of the system, and consequently maintain the accurate tracking of the references at different speed regions. The control scheme utilizes the discrete nature of the system, and uses the possible switching vectors of the converter in an intuitive manner. Therefore, based on minimum quality function the optimum switching vector is selected for the next sampling time actuation of the power converter. The control scheme is validated through the MATLAB simulation and experimental validation in DS1104 R&D Controller Platform. The simulation and experimental results prove the feasibility of the proposed method with encouraging performance.

DOI 10.1109/APEC.2015.7104402
Citations Scopus - 12
2014 Akter P, Uddin M, Rahman MM, Islam M, Bhuiyen MRB, 'Efficiency improvement of semi-bridgeless phase-shifted boost converter with power factor correction in energy storage system', 2013 International Conference on Electrical Information and Communication Technology, EICT 2013 (2014)

Boost converter is an essential part of energy storage system for efficient charging of the static devices. This paper proposes a 7.5 kW semi-bridgeless phase-shifted boost conver... [more]

Boost converter is an essential part of energy storage system for efficient charging of the static devices. This paper proposes a 7.5 kW semi-bridgeless phase-shifted boost converter to improve the efficiency and performance of the energy storage system. This investigation is carried out with the MATLAB Simulink to validate the feasibility of the proposed converter topology. The verification study depicted in this inquisition with the unity power factor and improved efficiency of the converter. The maximum efficiency of the proposed converter is determined as 98.3% for 7.52 kW power transfer at 200 V, 50 Hz input with 70 kHz switching frequency. © 2014 IEEE.

DOI 10.1109/EICT.2014.6777836
Citations Scopus - 2
2014 Uddin M, Mekhilef S, Rivera M, Rodriguez J, 'Predictive indirect matrix converter fed torque ripple minimization with weighting factor optimization', 2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 (2014)

Predictive control is a powerful and promising control algorithm in the control of power converter and electrical machine drive's system. The system performance depends on th... [more]

Predictive control is a powerful and promising control algorithm in the control of power converter and electrical machine drive's system. The system performance depends on the selection of weighting factor in the cost function. Therefore, this paper proposed a weighting factor optimization method to reduce the torque ripple of induction motor fed by an indirect matrix converter. Also, predictive torque and flux control with conventional weighting factor is being investigated in this paper and is compared with the proposed optimum weighting factor based predictive control algorithm. The introduced weighting factor optimization method in predictive control algorithm is validated through simulation and shows potential tracking of variables and control with their corresponding references and consequently minimizes the torque ripple compare to the conventional weighting factor based predictive control method. © 2014 IEEE.

DOI 10.1109/IPEC.2014.6870011
Citations Scopus - 20
2013 Muslem Uddin SM, Mekhilef S, Rivera M, Rodriguez J, 'A FCS-MPC of an induction motor fed by indirect matrix converter with unity power factor control', Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 (2013)

A torque and flux FCS-MPC (Finite Control Set Model Predictive Control) of an induction motor with unity power factor fed by an indirect matrix converter has been investigated and... [more]

A torque and flux FCS-MPC (Finite Control Set Model Predictive Control) of an induction motor with unity power factor fed by an indirect matrix converter has been investigated and presented in this paper. The proposed control scheme utilizes the discrete nature of power converter and predicts the future behavior of the system variables. Also the method selects the switching state that minimizes a cost function to actuate the converter in the next sampling time. The proposed FCS-MPC algorithm is validated through simulations and shows potential control and tracking of variables with their respective references. © 2013 IEEE.

DOI 10.1109/ICIEA.2013.6566655
Citations Scopus - 25
2013 Uddin SMM, Akter P, Mekhilef S, Mubin M, Rivera M, Rodriguez J, 'Model predictive control of an active front end rectifier with unity displacement factor', ICCAS 2013 - 2013 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability" (2013)

A finite control set model predictive control of an active front end (AFE) rectifier with unity displacement of input voltage and current has been investigated and presented in th... [more]

A finite control set model predictive control of an active front end (AFE) rectifier with unity displacement of input voltage and current has been investigated and presented in this paper. In this proposed control algorithm the discrete nature of the power converter are utilized and predicts the future behavior of the input system variables. Also the method selects the switching state that minimizes a cost function for firing the converter in the next sampling period. The proposed predictive control algorithm is validated through simulation and shows potential control and tracking of input unity power factor. © 2013 IEEE.

DOI 10.1109/CircuitsAndSystems.2013.6671612
Citations Scopus - 18
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Research Projects

Computer Aided Optimum Design of Three Phase and Single-Phase Induction Motor 2008 - 2009


Development of Unified Power Quality Conditioner 2009 - 2010


Torque Ripple Reduction and Design Optimization of Voltage Vector Controlled PMSM Drives Supplied by Innovative Multi-Level Inverters 2012 - 2015


Advanced Model Predictive Control (FCS-MPC) Method for Power Converter Applications in Mining Industry 2017 - 2021


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Mr S M Muslem Uddin

Contact Details

Email smmuslem.uddin@uon.edu.au
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