A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller
Abstract The present paper aims to propose a novel hybrid algorithm, where the Arithmetic Optimization Algorithm (AOA) and Rat Swarm Optimization (RSO) are employed for the proportional-integral-derivative (PID) controller to control the position of a micro-robotics system. In the algorithm proposed...
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| Format: | Article |
| Language: | English |
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Springer
2025-04-01
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| Series: | International Journal of Computational Intelligence Systems |
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| Online Access: | https://doi.org/10.1007/s44196-025-00799-3 |
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| _version_ | 1850173065344843776 |
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| author | Abdullah Baihan Ehab Ghith Harish Garg Seyedali Mirjalili Davut Izci Mostafa Rashdan Mohammad Salman Kashif Saleem |
| author_facet | Abdullah Baihan Ehab Ghith Harish Garg Seyedali Mirjalili Davut Izci Mostafa Rashdan Mohammad Salman Kashif Saleem |
| author_sort | Abdullah Baihan |
| collection | DOAJ |
| description | Abstract The present paper aims to propose a novel hybrid algorithm, where the Arithmetic Optimization Algorithm (AOA) and Rat Swarm Optimization (RSO) are employed for the proportional-integral-derivative (PID) controller to control the position of a micro-robotics system. In the algorithm proposed, we combine the exploratory mechanisms of AOA with RSO's exploitative behaviors. The proposed algorithm is employed for identifying the PID controller optimal parameters considering six different objective functions. Using CEC 2017 benchmark functions, the proposed hybrid is evaluated, and these functions’ performance is compared with the existing multiple algorithms. The statistical results are compared with the AOA, Jellyfish Search Optimization, and Harries Hawk Optimization algorithm for identifying the optimal PID controller settings considering multiple fitness functions. We consider performance indicators like PID controller parameters, rise time, settling time, and fitness values. The fetched simulation results revealed that, among all investigated fitness functions, the developed controller based on HAOARSO is the most effective algorithm for delivering global optimal solutions with less settling time and rise time, enabling the implementation on such optimization issues. Finally, the validation via MATLAB/Simulink simulations underscores the efficacy of the proposed algorithm. |
| format | Article |
| id | doaj-art-141c29c56567450cbdee899aadb3bcf2 |
| institution | OA Journals |
| issn | 1875-6883 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj-art-141c29c56567450cbdee899aadb3bcf22025-08-20T02:19:57ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832025-04-0118112710.1007/s44196-025-00799-3A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID ControllerAbdullah Baihan0Ehab Ghith1Harish Garg2Seyedali Mirjalili3Davut Izci4Mostafa Rashdan5Mohammad Salman6Kashif Saleem7Computer Science Department, Community College, King Saud UniversityDepartment of Mechatronics, Faculty of Engineering, Ain Shams UniversityDepartment of Mathematics, Thapar Institute of Engineering & Technology (Deemed University)Centre for Artificial Intelligence Research and Optimisation, Torrens University AustraliaDepartment of Electrical and Electronics Engineering, Bursa Uludag UniversityCollege of Engineering and Technology, American University of the Middle EastCollege of Engineering and Technology, American University of the Middle EastDepartment of Computer Science & Engineering, College of Applied Studies & Community Service, King Saud UniversityAbstract The present paper aims to propose a novel hybrid algorithm, where the Arithmetic Optimization Algorithm (AOA) and Rat Swarm Optimization (RSO) are employed for the proportional-integral-derivative (PID) controller to control the position of a micro-robotics system. In the algorithm proposed, we combine the exploratory mechanisms of AOA with RSO's exploitative behaviors. The proposed algorithm is employed for identifying the PID controller optimal parameters considering six different objective functions. Using CEC 2017 benchmark functions, the proposed hybrid is evaluated, and these functions’ performance is compared with the existing multiple algorithms. The statistical results are compared with the AOA, Jellyfish Search Optimization, and Harries Hawk Optimization algorithm for identifying the optimal PID controller settings considering multiple fitness functions. We consider performance indicators like PID controller parameters, rise time, settling time, and fitness values. The fetched simulation results revealed that, among all investigated fitness functions, the developed controller based on HAOARSO is the most effective algorithm for delivering global optimal solutions with less settling time and rise time, enabling the implementation on such optimization issues. Finally, the validation via MATLAB/Simulink simulations underscores the efficacy of the proposed algorithm.https://doi.org/10.1007/s44196-025-00799-3PID controllerHybrid algorithmArithmetic optimization algorithmRat swarm optimizationMinimally invasive surgery |
| spellingShingle | Abdullah Baihan Ehab Ghith Harish Garg Seyedali Mirjalili Davut Izci Mostafa Rashdan Mohammad Salman Kashif Saleem A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller International Journal of Computational Intelligence Systems PID controller Hybrid algorithm Arithmetic optimization algorithm Rat swarm optimization Minimally invasive surgery |
| title | A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller |
| title_full | A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller |
| title_fullStr | A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller |
| title_full_unstemmed | A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller |
| title_short | A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller |
| title_sort | hybrid meta heuristic algorithm for optimum micro robotic position control with pid controller |
| topic | PID controller Hybrid algorithm Arithmetic optimization algorithm Rat swarm optimization Minimally invasive surgery |
| url | https://doi.org/10.1007/s44196-025-00799-3 |
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