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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Buletin Ilmiah Sarjana Teknik Elektro
Shady M. Sadek
International Academy for Engineering and Media Science
Control & Systems Engineering Electrical & Electronics Engineering

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Comparison between flux estimation methods for direct torque controlled permanent magnet synchronous motors Shady M. Sadek; Mostafa H. Mostafa; Ahmed K. Ryad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2324-2335

Abstract

Nowadays, direct torque control (DTC) of AC drives is one of the most interesting fast dynamic response motor control techniques. Permanent magnet synchronous motors (PMSM) are now replacing induction motors (IM) in a wide range of applications because of their salient merits such as high efficiency and compactness. Combining DTC and PMSM in one drive may result in excellent performance not only for torque dynamics but also for efficiency. DTC relies on the estimation of the stator flux and torque to be compared with the set points of the torque and flux. In the literature, there are various flux estimation methods and each one has its own merits and demerits. Comparisons of these various methods are discussed in this paper showing their effect on the drive performance through MATLAB/Simulink simulations.
Adaptive Smart Energy Management for Wind-Battery Systems Considering Grid Fault Scenarios Habib Chaib; Housseyn Chaib; Belkacem Belabbas; Fajer M. Alelaj; Alfian Ma’arif; Mohamed Metwally Mahmoud; Vojtech Blazek; Shady M. Sadek
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16033

Abstract

This work introduces a novel energy management system based on radial basis function neural network (RBFNN) adapted for both grid-connected and segmented modes. The system components are electrical distribution grid, wind generator, power electronic converters and batteries. The study uses intelligent control and prevents the spread of potential problems or disturbances. This system incorporates various controllers responsible of specific functions like MPP monitoring, of battery charging and discharging, and of an inverter for effectively managing the transition between energy sources based on load requirements and available sources operating at their MPP. The objectives are to facilitate coordinated operation among distributed energy resources, ensuring the provision of necessary active power and additional services as necessary. The simulation uses MATLAB/Simulink environment. Simulation results demonstrate the effectiveness and feasibility of the proposed strategy. Overall, the obtained results affirm the practicality and advantages of employing neural networks in energy management systems.
Co-Authors Ahmed K. Ryad Alfian Ma’arif Belkacem Belabbas Fajer M. Alelaj Habib Chaib Housseyn Chaib Mohamed Metwally Mahmoud Mostafa H. Mostafa Vojtech Blazek