Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm
The Grey Wolf Optimizations GWO Algorithm, is the newer technique to optimize the uncertain optimization problems by autotuning parameters. GWO algorithm is very useful due to its ease of implementation, direct results, robustness, and low computation cost. However, any application involving control...
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| Language: | English |
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Faculty of Engineering, University of Kufa
2025-07-01
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| Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
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| Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/17254 |
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| author | Iman S. Kareem Sahar R. Al-Sakini Ghassan A. Bilal |
| author_facet | Iman S. Kareem Sahar R. Al-Sakini Ghassan A. Bilal |
| author_sort | Iman S. Kareem |
| collection | DOAJ |
| description | The Grey Wolf Optimizations GWO Algorithm, is the newer technique to optimize the uncertain optimization problems by autotuning parameters. GWO algorithm is very useful due to its ease of implementation, direct results, robustness, and low computation cost. However, any application involving control systems can also use proportional integral derivative (PID) controllers. Numerous researchers use a variety of techniques, including fuzzy logic, particle swarm optimization, evolutionary algorithms, and others, to attempt to determine the ideal values of P, I, and D. Nonetheless, the primary goal of this work is to determine how well the intelligent algorithm GWO performs while autotuning the PID controller for a permanent magnet direct current (PMDC) motor. The GWO algorithm was selected as an optimization method, and the standard PID's settings were adjusted using integral time absolute error (ITAE). The results proved that GWO as an autotuning PID Controller is better compared to classical PID controller in terms of high performance of the motor’s speed, and good response with steady -state error equal to zero moreover it can be used to obtain optimal position tracking by using PMDC for many applications
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| format | Article |
| id | doaj-art-bc899db8a95249598c8e5d68d292c316 |
| institution | Kabale University |
| issn | 2071-5528 2523-0018 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Faculty of Engineering, University of Kufa |
| record_format | Article |
| series | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
| spelling | doaj-art-bc899db8a95249598c8e5d68d292c3162025-08-20T03:36:45ZengFaculty of Engineering, University of KufaMağallaẗ Al-kūfaẗ Al-handasiyyaẗ2071-55282523-00182025-07-01160314616010.30572/2018/KJE/160310Optimal Speed and Position Controller for PMDC Motor Based GWO AlgorithmIman S. Kareem0Sahar R. Al-Sakini1Ghassan A. Bilal2College of Electromechanical Engineering/university of technology, Baghdad ,IraqCollege of Electromechanical Engineering/university of technology, Baghdad ,IraqCollege of Electromechanical Engineering/university of technology, Baghdad ,IraqThe Grey Wolf Optimizations GWO Algorithm, is the newer technique to optimize the uncertain optimization problems by autotuning parameters. GWO algorithm is very useful due to its ease of implementation, direct results, robustness, and low computation cost. However, any application involving control systems can also use proportional integral derivative (PID) controllers. Numerous researchers use a variety of techniques, including fuzzy logic, particle swarm optimization, evolutionary algorithms, and others, to attempt to determine the ideal values of P, I, and D. Nonetheless, the primary goal of this work is to determine how well the intelligent algorithm GWO performs while autotuning the PID controller for a permanent magnet direct current (PMDC) motor. The GWO algorithm was selected as an optimization method, and the standard PID's settings were adjusted using integral time absolute error (ITAE). The results proved that GWO as an autotuning PID Controller is better compared to classical PID controller in terms of high performance of the motor’s speed, and good response with steady -state error equal to zero moreover it can be used to obtain optimal position tracking by using PMDC for many applications https://journal.uokufa.edu.iq/index.php/kje/article/view/17254speed controllerposition controllerthe grey wolf optimizations gwo algorithmproportional integral derivative (pid)permanent magnet direct current (pmdc) motor |
| spellingShingle | Iman S. Kareem Sahar R. Al-Sakini Ghassan A. Bilal Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ speed controller position controller the grey wolf optimizations gwo algorithm proportional integral derivative (pid) permanent magnet direct current (pmdc) motor |
| title | Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm |
| title_full | Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm |
| title_fullStr | Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm |
| title_full_unstemmed | Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm |
| title_short | Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm |
| title_sort | optimal speed and position controller for pmdc motor based gwo algorithm |
| topic | speed controller position controller the grey wolf optimizations gwo algorithm proportional integral derivative (pid) permanent magnet direct current (pmdc) motor |
| url | https://journal.uokufa.edu.iq/index.php/kje/article/view/17254 |
| work_keys_str_mv | AT imanskareem optimalspeedandpositioncontrollerforpmdcmotorbasedgwoalgorithm AT saharralsakini optimalspeedandpositioncontrollerforpmdcmotorbasedgwoalgorithm AT ghassanabilal optimalspeedandpositioncontrollerforpmdcmotorbasedgwoalgorithm |