Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm
In the past 20 years, scientists and engineers have rediscovered fractional calculus and have begun using it in more and more domains, most notably control theory. This study introduces a fractional adaptive PID (FAPID) controller which incorporates an additional parameter to enhance the performanc...
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| Format: | Article |
| Language: | English |
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IMS Vogosca
2025-01-01
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| Series: | Science, Engineering and Technology |
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| Online Access: | https://setjournal.com/SET/article/view/179 |
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| author | Abdelouaheb Boukhalfa Yassine Bensafia Khatir Khettab |
| author_facet | Abdelouaheb Boukhalfa Yassine Bensafia Khatir Khettab |
| author_sort | Abdelouaheb Boukhalfa |
| collection | DOAJ |
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In the past 20 years, scientists and engineers have rediscovered fractional calculus and have begun using it in more and more domains, most notably control theory. This study introduces a fractional adaptive PID (FAPID) controller which incorporates an additional parameter to enhance the performance of a conventional adaptive PID (APID) controller. A comparative analysis is conducted between the APID and FAPID controllers optimized using the metaheuristic Genetic Algorithm (GA). The evaluation uses a linearized model of the DC motor control system. The results demonstrate that FAPID controllers significantly outperform conventional APID controllers, particularly regarding rise time, settling time, overshoot, and mean absolute error. Among the proposed designs, the integration of FAPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in DC motor and environmental conditions. This method can be extended to various fractional and integer systems to enhance their efficiency and reduce noise disturbance.
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| format | Article |
| id | doaj-art-1706c10009b748d390ddbf31d13cb592 |
| institution | Kabale University |
| issn | 2831-1043 2744-2527 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IMS Vogosca |
| record_format | Article |
| series | Science, Engineering and Technology |
| spelling | doaj-art-1706c10009b748d390ddbf31d13cb5922025-01-30T11:28:19ZengIMS VogoscaScience, Engineering and Technology2831-10432744-25272025-01-015110.54327/set2025/v5.i1.179Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic AlgorithmAbdelouaheb Boukhalfa0https://orcid.org/0000-0001-9131-0466Yassine Bensafia1https://orcid.org/0000-0003-1760-3636Khatir Khettab2https://orcid.org/0000-0003-2985-0466Electrical Engineering Department, University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000 Algeria. / QUERE laboratory, Sétif-1University, 19000 – Algeria.LISEA Laboratory, Department of Electrical Engineering, Sciences and Applied Sciences Faculty, Bouira University, Algeria.Electrical Engineering Department, University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000 Algeria. 2QUERE laboratory, Sétif-1University, 19000 – Algeria. / GE laboratory, M'sila University, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000 Algeria. In the past 20 years, scientists and engineers have rediscovered fractional calculus and have begun using it in more and more domains, most notably control theory. This study introduces a fractional adaptive PID (FAPID) controller which incorporates an additional parameter to enhance the performance of a conventional adaptive PID (APID) controller. A comparative analysis is conducted between the APID and FAPID controllers optimized using the metaheuristic Genetic Algorithm (GA). The evaluation uses a linearized model of the DC motor control system. The results demonstrate that FAPID controllers significantly outperform conventional APID controllers, particularly regarding rise time, settling time, overshoot, and mean absolute error. Among the proposed designs, the integration of FAPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in DC motor and environmental conditions. This method can be extended to various fractional and integer systems to enhance their efficiency and reduce noise disturbance. https://setjournal.com/SET/article/view/179Integer Adaptive PIDGenetic AlgorithmDC motorFractional Adaptive PID controllersOptimization Methods |
| spellingShingle | Abdelouaheb Boukhalfa Yassine Bensafia Khatir Khettab Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm Science, Engineering and Technology Integer Adaptive PID Genetic Algorithm DC motor Fractional Adaptive PID controllers Optimization Methods |
| title | Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm |
| title_full | Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm |
| title_fullStr | Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm |
| title_full_unstemmed | Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm |
| title_short | Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm |
| title_sort | performances improvement of dc motor using a fractional order adaptive pid controller optimized by genetic algorithm |
| topic | Integer Adaptive PID Genetic Algorithm DC motor Fractional Adaptive PID controllers Optimization Methods |
| url | https://setjournal.com/SET/article/view/179 |
| work_keys_str_mv | AT abdelouahebboukhalfa performancesimprovementofdcmotorusingafractionalorderadaptivepidcontrolleroptimizedbygeneticalgorithm AT yassinebensafia performancesimprovementofdcmotorusingafractionalorderadaptivepidcontrolleroptimizedbygeneticalgorithm AT khatirkhettab performancesimprovementofdcmotorusingafractionalorderadaptivepidcontrolleroptimizedbygeneticalgorithm |