Research & Project

~If we knew what we were doing it wouldn’t be research -Albert Einstein

Undergrad Thesis

Direct Torque Control Scheme of Three-Phase Induction Motor Using Artificial Neural Network Controller

Supervised by- Prof. Dr. S M Abdur Razzak, Professor, Dept. of EEE, RUET

This thesis presents an advanced drive system for three-phase induction motors using Direct Torque Control (DTC). While DTC has advantages over Field-Oriented Control (FOC), such as reduced computational demands, faster dynamic response, and improved torque control, it suffers from drawbacks like higher torque and flux ripples, increased switching losses, and variable switching frequency. To address these issues, Space Vector Modulation (SVM) is utilized for inverter voltage control, minimizing these limitations.

Additionally, the traditional PI controller in the speed loop is replaced with a Nonlinear Auto-regressive Moving Average (NARMA-L2) controller, better suited for the system's nonlinear dynamics. In the torque loop, the PI controller is substituted with an adaptive PID-Neural Network (PIDNN) controller, which continuously updates its gain values online using a backpropagation algorithm, improving system performance for nonlinear environments. The effectiveness of this proposed neural network-controlled drive system is evaluated using MATLAB/Simulink simulations.

Journal Articles

J. A. Akhi, J. Giti, M. A. Rahman, Md. Shamsujjaman Ridoy, R. Sultana, and prof. Dr. K. K. Islam, "Enhancing ADHD diagnosis using deep learning: A robust model for analyzing EEG signals in children," Journal of Electrical Systems, vol. 3, no. 3, pp. 4806–4817, 2024.
Md. Yah-Ya Ul Haque, Md. Mahmudul Hasan, Md. Shamsujjaman Ridoy, Md. Rashidul Islam, and Md. Rafiqul Islam Sheikh, "Archimedes optimization tuned sliding mode control of neutral voltage stabilization based arc suppression devices for resonant grounded distribution system,"ISA Transaction, 2024 (under revision).

Conference Article

Md. Yah-Ya Ul Haque, Ragib Rowshon, Md. Mahmudul Hasan, Md. Shamsujjaman Ridoy, and Md. Rafiqul Islam Sheikh, "Archimedes Optimization Based Proportional Resonant Control of Active Arc Suppression Device in a Resonant Grounded Distribution System," 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), paper ID: PEEIACON2024-427, 2024 .

Projects

Home Automation System using NodeMCU (EEE 4210: Embedded System Design Sessional)
Sensor Based Smart Supershop (EEE 3100: Electronic Shop Practice)
Electrical Wiring Design of an Apartment at Edrawmax (EEE 2100: Electrical Shop Practise)

Awarded Champion in Project Competiton by ISICT 2022

The Project was developing a cost efficient Heat-Inverse Refrigerator. There were four group members in the team i.e. Abul Kalam Azad, Md. Arifuzzaman, Md. Tamim Hossain, and Md. Shamsuujjaman Ridoy.

Research Interest

Control Application in Power System.
Smart Grid.
Renewable Energy.
Optimization Algorithm in Power System.
Machine Learning Application in Power System.
Electrical Vehicle and Storage System.
Internet of Things (IoT).

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