Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation
The outcomes of this research significantly contribute to the existing body of knowledge on metaheuristic optimization techniques for active suspension systems. By conducting thorough investigations and analyses, the study effectively demonstrates the remarkable advantages of the Firefly algorithm...
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| Format: | Article |
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Universidade Federal de Viçosa (UFV)
2023-06-01
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| Series: | The Journal of Engineering and Exact Sciences |
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| Online Access: | https://periodicos.ufv.br/jcec/article/view/15928 |
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| author | Ismail Dif Naas Dif |
| author_facet | Ismail Dif Naas Dif |
| author_sort | Ismail Dif |
| collection | DOAJ |
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The outcomes of this research significantly contribute to the existing body of knowledge on metaheuristic optimization techniques for active suspension systems. By conducting thorough investigations and analyses, the study effectively demonstrates the remarkable advantages of the Firefly algorithm in optimizing the performance of both conventional and intelligent controllers for active suspension systems. These findings highlight the algorithm's potential to revolutionize the field and pave the way for more efficient and robust control strategies. The demonstrated effectiveness of the Firefly algorithm in minimizing the error between the car's displacements and the disturbances of the road is particularly noteworthy. This achievement ensures a more precise and accurate tracking of the desired trajectory, regardless of the input signal used, whether it be an impulse, sine wave, or step-wise graded signal.
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| format | Article |
| id | doaj-art-e83519aade254e6fa6fb1ed0a4ef0d77 |
| institution | Kabale University |
| issn | 2527-1075 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Universidade Federal de Viçosa (UFV) |
| record_format | Article |
| series | The Journal of Engineering and Exact Sciences |
| spelling | doaj-art-e83519aade254e6fa6fb1ed0a4ef0d772025-02-02T19:55:06ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752023-06-019510.18540/jcecvl9iss5pp15928-01eFirefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation Ismail Dif0Naas Dif 1Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Science and Technology University of Ziane Achour of Djelfa, 17000, AlgeriaSaad Dahleb University Blida, LABSET Laboratory, Blida, 09000, Algeria The outcomes of this research significantly contribute to the existing body of knowledge on metaheuristic optimization techniques for active suspension systems. By conducting thorough investigations and analyses, the study effectively demonstrates the remarkable advantages of the Firefly algorithm in optimizing the performance of both conventional and intelligent controllers for active suspension systems. These findings highlight the algorithm's potential to revolutionize the field and pave the way for more efficient and robust control strategies. The demonstrated effectiveness of the Firefly algorithm in minimizing the error between the car's displacements and the disturbances of the road is particularly noteworthy. This achievement ensures a more precise and accurate tracking of the desired trajectory, regardless of the input signal used, whether it be an impulse, sine wave, or step-wise graded signal. https://periodicos.ufv.br/jcec/article/view/15928Active suspensionLQRFirefly AlgorithmOptimization |
| spellingShingle | Ismail Dif Naas Dif Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation The Journal of Engineering and Exact Sciences Active suspension LQR Firefly Algorithm Optimization |
| title | Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation |
| title_full | Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation |
| title_fullStr | Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation |
| title_full_unstemmed | Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation |
| title_short | Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation |
| title_sort | firefly algorithm optimization based lqr controller for 1 4 vehicle active suspension system design and performance evaluation |
| topic | Active suspension LQR Firefly Algorithm Optimization |
| url | https://periodicos.ufv.br/jcec/article/view/15928 |
| work_keys_str_mv | AT ismaildif fireflyalgorithmoptimizationbasedlqrcontrollerfor14vehicleactivesuspensionsystemdesignandperformanceevaluation AT naasdif fireflyalgorithmoptimizationbasedlqrcontrollerfor14vehicleactivesuspensionsystemdesignandperformanceevaluation |