M. ZEGHBA Oussama

MCB

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Department

BASE COMMON ST Departement ST

Research Interests

Electrical engineering Electrical Engineering

Contact Info

University of M'Sila, Algeria

Email : oussama.zeghba@univ-msila.dz

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Recent Publications

2022-12-19

Efficiency Optimization of Induction Motor Using a Modified Gray Wolf Optimization

In this research, a method for improving the efficiency of induction motors based on the modified gray wolf optimizer (mGWO) is proposed and examined. In order to reduce the overall copper and iron losses of the machine, the efficiency improvement technique entails modifying the geometric dimensions with regard to the lower and upper bound of those parameters. A comparison between the findings achieved utilizing the mGWO and GAs approach is done, and some simulation performances are shown along with a comparison of efficiency, electric current, and torque.The approach mGWO provided good results and required less time to extract results once the simulation results were obtained using the aforementioned methods.
Citation

M. ZEGHBA Oussama, (2022-12-19), "Efficiency Optimization of Induction Motor Using a Modified Gray Wolf Optimization", [international] 2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) , Sousse, Tunisia

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2020-12-03

Design Optimization of Induction Motor Using On-Line Improved Genetic Algorithms

The main objective of this work is the application of a new architecture of genetic algorithms to the induction machine design in order to improve their performance. The latter is proposed by our research team based on modified crossing and mutation operators who have fixed values for conventional genetic algorithms. In addition, this version is characterized by a double loop and a random crossover. Firstly, to demonstrate the ability to locate the global optimum with this version algorithm a mathematical function was used. Then we approached the second phase which its application in real time to the induction motor optimized design problem. Knowing that, the machine is a highly coupled with multivariable system and constraints. Finally, the results obtained have been analyzed where we have found that satisfactory and can be declared that adaptation algorithm is effective in locating rapidly the region in which the global optimum exists in relation to the classical genetic algorithm.
Citation

M. ZEGHBA Oussama, (2020-12-03), "Design Optimization of Induction Motor Using On-Line Improved Genetic Algorithms", [national] AMSE-IIETA journals , Modelling, Measurement and Control A

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2018-12-20

Multi Objective Design of High Efficiency Induction Motor Using an Analytical Method's

In the final decade of the last century, there was enormous intellectual and engineering activity surrounding the recently invented induction motor, especially their efficiency increasing. The interest in improving the efficiency of electric motors stems from the fact that they represent 60 to 70% of the total industrial and commercial load. A knowledge the motors operating efficiency in an industrial plant is necessary, when deciding whether standard motors should be advantageously replaced with more efficient motors. A new approach is presented for analysis and design of closed rotor slot induction motors in this paper. The main idea is illustrated as follows: first based the computed machine parameters and motor geometry optimization will be carried out. Then, to validate the conceived machines, dynamical performance analysis will be achieved by MATLAB environment. Finally using finite element electromagnetic field analysis, the comparison results will be discussed and commented.
Citation

M. ZEGHBA Oussama, (2018-12-20), "Multi Objective Design of High Efficiency Induction Motor Using an Analytical Method's", [national] Modelling, Measurement and Control A , IIETA

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2018-12-02

A New Strategy Design of High Efficiency Induction Motor with Closed Rotor Slot

Abstract-In the final decade of the last century, there was enormous intellectual and engineering activity surrounding the recently invented induction motor,especially their efficiency increasing. The interest in improving the efficiency of electric motors stems from the fact that they represent 60 to 70% of the total industrial and commercial load. A knowledge the motors operating efficiency in an industrial plant is necessary, when deciding whether standard motors should be advantageously replaced with more efficient motors. A new approach is presented for analysis and design of closed rotor slot induction motors in this paper. The main idea is illustrated as follows: first based the computed machine parameters and motor geometry optimization will be carried out. Then, to validate the conceived machines, dynamical performance analysis will be achieved by MATLAB environment. Finally using finite element electromagnetic field analysis, the comparison results will be discussed and commented.
Citation

M. ZEGHBA Oussama, (2018-12-02), "A New Strategy Design of High Efficiency Induction Motor with Closed Rotor Slot", [international] Second International Conference on Electrical Engineering, ICEEB’2018 , BISKRA, ALGERIA

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