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M.R. Barzegaran   Dr.  Institute, Department or Faculty Head 
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M.R. Barzegaran published an article in June 2018.
Top co-authors
Andrew Lapthorn

15 shared publications

Electrical and Computer Engineering, University of Canterbury, Christchurch New Zealand 8040 ()

Pedram Asef

14 shared publications

Department of Electrical Engineering, Polytechnic University of Catalonia-BarcelonaTech, EEBE, Barcelona, Spain

Daniela Mewes

2 shared publications

KTH Royal Institute of Technology, Industrial, Engineering and Management, Stockholm, Sweden

Payam Niknejad

1 shared publications

Tanushree Agarwal

1 shared publications

Publication Record
Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 1 Citation Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Mag... Pedram Asef, Ramon Bargallo Perpina, M. R. Barzegaran, Andre... Published: 01 June 2018
IEEE Transactions on Energy Conversion, doi: 10.1109/tec.2017.2777397
DOI See at publisher website
Article 0 Reads 0 Citations An innovative natural air-cooling system technique for temperature-rise suppression on the permanent magnet synchronous ... Pedram Asef, Ramon B. Perpina, M.R. Barzegaran Published: 01 January 2018
Electric Power Systems Research, doi: 10.1016/j.epsr.2017.07.031
DOI See at publisher website
Article 4 Reads 2 Citations Load identification of different Halbach-array topologies on permanent magnet synchronous generators using the coupled f... Pedram Asef, Ramon Bargallo Perpina, M.R Barzegaran, Andrew ... Published: 01 January 2018
Electric Power Systems Research, doi: 10.1016/j.epsr.2017.08.041
DOI See at publisher website
Article 0 Reads 0 Citations A COMPARATIVE STUDY OF QUASI-FEA TECHNIQUE ON IRON LOSSES PREDICTION FOR PERMANENT MAGNET SYNCHRONOUS MACHINES Pedram Asef, Ramon Bargallo Perpina, M. R. Barzegaran, Jiann... Published: 01 January 2018
Progress In Electromagnetics Research C, doi: 10.2528/pierc17102702
DOI See at publisher website
Article 0 Reads 0 Citations A 3-D Pareto-Based Shading Analysis on Solar Photovoltaic System Design Optimization Pedram Asef, Ramon Bargallo Perpina, M.R. Barzegaran, Andrew... Published: 01 January 2018
IEEE Transactions on Sustainable Energy, doi: 10.1109/tste.2018.2849370
DOI See at publisher website
Article 0 Reads 0 Citations Utilizing Sequential Action Control Method in GaN-Based High-Speed Drive for BLDC Motor Payam Niknejad, Tanushree Agarwal, M. R. Barzegaran Published: 21 November 2017
Machines, doi: 10.3390/machines5040028
DOI See at publisher website ABS Show/hide abstract
This paper presents a hybrid model–based control algorithm that combines Model Predictive Control (MPC) and Sequential Action Control (SAC) deployed in a high-speed drive for Brushless DC (BLDC) motor by using a DC-DC converter with Gallium Nitride (GaN) switches. GaN FETs are selected because of their higher speed and lower power loss as compared with traditional Si switches. In the proposed framework, SAC processes the initial values of the control variables as well as their time of application and their duration in MPC loop. After receiving the underlying estimation of future contribution from SAC, MPC consolidates it with current input and predicts future control values by using the system state space model. This hybrid control conserves control effort and reduces sensitivity to initial conditions. In this way, converter’s output voltage is controlled to produce the reference speed at the motor output. National Instrument PXIe-6356 module is utilized as the interface between software and hardware that is a multi-function, LabVIEW-compatible data acquisition device. The viability of the proposed hybrid optimization for the high-speed drive is confirmed numerically by utilizing MATLAB/Simulink and approved experimentally using a Gallium Nitride (GaN) half-bridge DC-DC converter.