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$10 USD / hour
Flag of EGYPT
qeft, egypt
$10 USD / hour
It's currently 1:24 PM here
Joined March 9, 2018
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Mahmoud S.

@MahmoudSaeed1791

 5.0 (4 reviews)
3.7
3.7
100%
100%
$10 USD / hour
Flag of EGYPT
qeft, egypt
$10 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
17%
Repeat Hire Rate

Electrical Engineer, Lecturer, and Researcher

I received the BSc and the MSc degrees in electrical power and machines engineering from Faculty of Engineering, South Valley University, Qena, Egypt, in 2013 and 2018 respectively. Since 2015, I have been worked at the Department of Electrical Engineering, Faculty of Engineering, South Valley University, Qena, Egypt, first as an Administrator and Research Assistant since 2018, and after that as an Assistant Lecturer. Currently, I am moving forward to finish my PhD degree at Southwest Jiaotong University, Chengdu, Sichuan, China. I am experienced Research and Assistant Lecturer with a demonstrated history of working in the higher education industry. Strong research professional skilled in Mathematics, MATLAB , Microsoft Excel, Power circuits, PCB design, Programming, Microsoft Word, CAD programs and Finite Element Analysis.
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Portfolio

10235649
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
10230464
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
10209945
Embedded model predictive control for five-phase drives
10209915
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
10209852
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
4061509
This project is a matlab simulink model which uses Model Predictive Control (MPC) strategy to control the speed of a PM Synchronous Motor as shown in figure 1. The controller is tested by a step change in the motor speed where the speed is decreased from 105 rad/s to 55 rad/s. The controller response is very fast as shown in figure 2. The controller takes into account the torque and the current limits as shown in figure 3 and figure 4, respectively.
MATLAB Simulation for Model Predictive Control of PMSM
10235649
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
Finite control set (FCS) model predictive control (MPC) has been widely emerged for the double-subspace control problem of five-phase permanent magnet synchronous motor (PMSM) drives thanks to the principles of the virtual voltage vectors (V3s), which improve the steady state performance with low computational burden. However, the V3s are designed offline to include one-subspace components, which is not considered as an optimized solution. Therefore, this paper presents an improved double-vector-based FCS-MPC scheme for five-phase PMSM drives, considering the control objectives of the two subspaces. The proposed scheme remedies the limitations of the conventional V3s using online selection of the two vectors combination and duty ratio calculation. To keep low computational burden, ten possible double-vector combinations are examined during every sampling interval for each fundamental α-β sector, which is defined using the deadbeat (DB) calculations.
Double-Vector-Based FCS-MPC for Five-Phase PMSMs
10230464
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
This project is a simulation model of a pair two six-pulse thyristor rectifiers connected with a three-winding transformer, which is directly connected to the utility grid. The two rectifiers are feeding a PEM electrolyser, which is used for hydrogen production. Through this model, several output variables can be examined output current, voltage, power and energy consumption as well as the hydrogen production rate and electrolyser efficiency for different hydrogen production rate demands, as shown by the sample results in the attached figures.
MATLAB Model of an Electrolyser Fed by Twelve-Step Converter
10209945
Embedded model predictive control for five-phase drives
10209915
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
This project is a MATLAB Simulink model for five-phase two-level drive system, which is used for scientific research.
MATLAB model for five-phase two-level drives
10209852
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
This project is a PCB board design for a three-level neutral point clamped converter prototype. This design is implemented and experimentally utilized for three-level motor drives. The Infineon F3L50R06W1E3_B11 IGBT module is used as the basic unit for the five-phase NPC converter and the Infineon 2ED020I12FA as a gate driver. This prototype is used in scientific research as given in the publications sections in my profile.
PCB board for Three-level Neutral Point Clamped Converter
4061509
This project is a matlab simulink model which uses Model Predictive Control (MPC) strategy to control the speed of a PM Synchronous Motor as shown in figure 1. The controller is tested by a step change in the motor speed where the speed is decreased from 105 rad/s to 55 rad/s. The controller response is very fast as shown in figure 2. The controller takes into account the torque and the current limits as shown in figure 3 and figure 4, respectively.
MATLAB Simulation for Model Predictive Control of PMSM

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4.8
₹8,000.00 INR
Build a MATLAB simulation.
Provided excellent work. He will be the first person that I will contact for all future projects. Great understanding, polite, and helpful person,100% satisfied with the work.
Engineering
Algorithm
Electrical Engineering
MATLAB
Simulation
User Avatar
Flag of Sahal N.
@sahalnazar007
•
1 year ago
5.0
$20.00 USD
Improve paper figures
I was really happy to work with Mahmoud. He is really professional,and talented. He communicated very well. And he done so great job,I wi hire him again for sure. And I highly recommend him.
Excel
Microsoft Visio
A
Flag of Rasha Khaled Musaed A.
@ALHUTHAIFIRASHA
•
2 years ago
5.0
$475.55 USD
Project 34243400 has been deleted
Great work ethics and very professional.
User Avatar
Flag of Vishal G.
@vishalgrover77
•
2 years ago
5.0
$50.00 USD
Project for Mahmoud S.
Thanks for quality
Engineering
Electronics
CAD/CAM
Electrical Engineering
+1 more
User Avatar
Flag of Zain Mehmood S.
@ExpertEngineer7
•
6 years ago

Experience

Researcher and Ph.D candidate

Southwest Jiaotong University
Sep 2018 - Present
I had carried out and published several research items in electrical machine control.

Assistant Lecturer

South Valley University
Feb 2018 - Present
I had carried out and published several research items in motor drives and control.

Teaching and Research Assistant

South Valley University
Mar 2015 - Feb 2018 (2 years, 11 months)
Participated in teaching the following undergraduate courses: Programming with C, Programming with MATLAB, DC Machines, DC Machines test, Electrical Derives, Electrical Measurements, Electrical Machines Design, Power Electronics test, Electromagnetic Fields, Energy Conversion and Utilization, and Numerical Analysis. Furthermore, I had carried out and published several research items in electrical machine design.

Education

Ph.D in Electrical Engineering

Southwest Jiaotong University, China 2018 - 2022
(4 years)

M. S. in Electrical Engineering

South Valley University, Egypt 2015 - 2018
(3 years)

B.S. Electrical Engineering

South Valley University, Egypt 2009 - 2013
(4 years)

Publications

Partitioned Topologies of Switched Flux Permanent Magnet Machines for Electric Vehicles

International Journal of Computer Applications
This paper aims to provide a comparative study between recent PS and PR topologies using 2D Finite Element Analysis (FEA) modeling software. Two recent topologies of PS-SFPM machine, namely the Cylindrical Inner Stator (CY) and the Salient Inner Stator (SA), are compared with the topologies of PR-SFPM machine, namely the Parallel magnetic circuit (PA) and the Serial magnetic circuit (SE) PR-SFPM machines.

Low-Complexity Deadbeat Model Predictive Current Control for OW PMSM Drive With ZSC Suppression

IEEE Transactions on Transportation Electrification
In this paper, a new low-complexity MPCC is proposed to eliminate the online enumeration process and the cost function evaluation. In the proposed scheme, the reference voltage vector components are calculated based on the deadbeat principles. Then, the optimal voltage vector, that matches the reference vector, is selected from the control-set based on predefined optimization criteria.

Model Predictive Current Control with Reduced Complexity for Five-Phase Three-Level NPC VSIs

IEEE Transactions on Transportation Electrification
This paper proposes a reduced-complexity MPC scheme for five-phase three-level (3L) voltage source inverters (VSIs). In the proposed method, the control-set consists of one zero vector and 80 virtual voltage vectors (V3s), which are designed from the eligible 113 basic voltage vectors to eliminate the auxiliary (x-y) subspace harmonics.

Low-Complexity Deadbeat Model Predictive Current Control with Duty Ratio for five-phase PMSM Drives

IEEE Transactions on Power Electronics
This paper introduces a low-complexity model predictive current control (MPCC) for five-phase PMSM with constant switching frequency based on the Deadbeat (DB) principles. To avoid the full enumeration process, the proposed method calculates the reference voltage vector using the DB technique, considering one-step delay compensation.

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