Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM
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 pe...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2020-09-01.
|
| Subjects: | |
| Online Access: | Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02193 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | IJPEDS_14018_13211 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Arafa, Osama M. |e author |
| 100 | 1 | 0 | |a Electronics Research Institute |e contributor |
| 700 | 1 | 0 | |a Wahsh, Said A. |e author |
| 700 | 1 | 0 | |a Badr, Mohamed |e author |
| 700 | 1 | 0 | |a Yassin, Amir |e author |
| 245 | 0 | 0 | |a Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-09-01. | ||
| 500 | |a https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/14018 | ||
| 520 | |a 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. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 11, No 3: September 2020; 1640-1652 | |
| 786 | 0 | |n 2722-256X | |
| 786 | 0 | |n 2088-8694 | |
| 786 | 0 | |n 10.11591/ijpeds.v11.i3 | |
| 787 | 0 | |n https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/14018/13211 | |
| 856 | 4 | 1 | |u https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/14018/13211 |z Get Fulltext |