Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance
This research paper proposes a hybrid fuzzy logic controller for achieving autonomous path navigation and obstacle avoidance through the use of the Social Spider Optimizer algorithm. The proposed controller employs kinematic modelling to determine the mobile robot’s path navigation and utilizes a fu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-10-01
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| Series: | Automatika |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2391246 |
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| author | Naimul Hasan Huma Khan Shahida Khatoon Mohammad Sajid |
| author_facet | Naimul Hasan Huma Khan Shahida Khatoon Mohammad Sajid |
| author_sort | Naimul Hasan |
| collection | DOAJ |
| description | This research paper proposes a hybrid fuzzy logic controller for achieving autonomous path navigation and obstacle avoidance through the use of the Social Spider Optimizer algorithm. The proposed controller employs kinematic modelling to determine the mobile robot’s path navigation and utilizes a fuzzy logic system for effective control. The Social Spider Optimizer algorithm optimizes the parameters of the fuzzy controller, while the FLC is responsible for obstacle avoidance. The effectiveness of the proposed controller has been analyzed, and a comparative study has been carried out with optimization techniques like particle swarm optimization (PSO) and cuckoo search optimization (CSO) controllers. The study aims to propose a hybrid fuzzy logic controller, that provides efficient navigation and obstacle avoidance for mobile robots. In a simulation, the starting point is considered as (0,0) and the destination point is set as Xk = 1.1 and Yk = 1.2. The performance of the proposed method is compared with FLC and methods like PSO and CSO. With the SSO-based FLC, the proposed mobile robot identifies the obstacle distance and travels towards the destination with smooth navigation. The results show the efficacy of the proposed controller in comparison to other controllers for mobile robots in terms of path navigation and obstacle avoidance. |
| format | Article |
| id | doaj-art-a0e0fd19319d403884ddd2fbd07fe0ff |
| institution | OA Journals |
| issn | 0005-1144 1848-3380 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj-art-a0e0fd19319d403884ddd2fbd07fe0ff2025-08-20T01:54:21ZengTaylor & Francis GroupAutomatika0005-11441848-33802024-10-016541432144610.1080/00051144.2024.2391246Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidanceNaimul Hasan0Huma Khan1Shahida Khatoon2Mohammad Sajid3Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah, Saudi ArabiaDepartment of Electrical & ECE, Galgotias University, Greater Noida, IndiaDepartment of Electrical Engineering, Jamia Millia Islamia, Delhi, IndiaDepartment of Mechanical Engineering, College of Engineering, Qassim University, Buraydah, Saudi ArabiaThis research paper proposes a hybrid fuzzy logic controller for achieving autonomous path navigation and obstacle avoidance through the use of the Social Spider Optimizer algorithm. The proposed controller employs kinematic modelling to determine the mobile robot’s path navigation and utilizes a fuzzy logic system for effective control. The Social Spider Optimizer algorithm optimizes the parameters of the fuzzy controller, while the FLC is responsible for obstacle avoidance. The effectiveness of the proposed controller has been analyzed, and a comparative study has been carried out with optimization techniques like particle swarm optimization (PSO) and cuckoo search optimization (CSO) controllers. The study aims to propose a hybrid fuzzy logic controller, that provides efficient navigation and obstacle avoidance for mobile robots. In a simulation, the starting point is considered as (0,0) and the destination point is set as Xk = 1.1 and Yk = 1.2. The performance of the proposed method is compared with FLC and methods like PSO and CSO. With the SSO-based FLC, the proposed mobile robot identifies the obstacle distance and travels towards the destination with smooth navigation. The results show the efficacy of the proposed controller in comparison to other controllers for mobile robots in terms of path navigation and obstacle avoidance.https://www.tandfonline.com/doi/10.1080/00051144.2024.2391246Mobile robotsocial spider optimizationparticle swarm optimizationcuckoo search optimizationfuzzy logic controllerpath navigation |
| spellingShingle | Naimul Hasan Huma Khan Shahida Khatoon Mohammad Sajid Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance Automatika Mobile robot social spider optimization particle swarm optimization cuckoo search optimization fuzzy logic controller path navigation |
| title | Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| title_full | Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| title_fullStr | Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| title_full_unstemmed | Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| title_short | Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| title_sort | intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance |
| topic | Mobile robot social spider optimization particle swarm optimization cuckoo search optimization fuzzy logic controller path navigation |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2024.2391246 |
| work_keys_str_mv | AT naimulhasan intelligentcontrollerdesignofanautonomoussystemusingasocialspideroptimizerforpathnavigationandobstacleavoidance AT humakhan intelligentcontrollerdesignofanautonomoussystemusingasocialspideroptimizerforpathnavigationandobstacleavoidance AT shahidakhatoon intelligentcontrollerdesignofanautonomoussystemusingasocialspideroptimizerforpathnavigationandobstacleavoidance AT mohammadsajid intelligentcontrollerdesignofanautonomoussystemusingasocialspideroptimizerforpathnavigationandobstacleavoidance |