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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Amir Yassin
Electronics Research Institute
Control & Systems Engineering Electrical & Electronics Engineering

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Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM Osama M. Arafa; Said A. Wahsh; Mohamed Badr; Amir Yassin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8132.01 KB) | DOI: 10.11591/ijpeds.v11.i3.pp1640-1652

Abstract

Meta-heuristic optimization techniques are important tools to define the optimal solutions for many problems. In this paper, a new advanced artificial intelligence (AI) based direct torque control (DTC) speed drives are optimally designed and implemented in real time to achieve a high performance permanent-magnet synchronous-motor (PMSM) drive. Grey wolf (GW) algorithms are used with the standard PID-based DTC (PIDDTC) and with the DTC with fuzzy logic (FDTC) based speed controllers. DSPACE DS1202 is utilized in the real-time implementation. MATLAB SIMULINK is used to simulate the steady-state (S.S.) and dynamic responses. The overall system is tested at different operating conditions for both simulation and practical work and all results are presented. A comparison between experimental and simulation results is performed and also a comparison between different applied intelligent techniques is introduced.
Co-Authors Mohamed Badr Osama M. Arafa Said A. Wahsh