Publication: Modelling and Fuzzy Logic Control of an Underactuated Tower Crane System
| dc.contributor.author | Liyana Ramli | en_US |
| dc.contributor.author | Izzuddin M. Lazim | en_US |
| dc.contributor.author | Hazriq Izzuan Jaafar | en_US |
| dc.contributor.author | Zaharuddin Mohamed | en_US |
| dc.date.accessioned | 2024-05-27T14:46:37Z | |
| dc.date.available | 2024-05-27T14:46:37Z | |
| dc.date.issued | 2020 | |
| dc.description | L. RAMLI ET AL. APPLICATIONS OF MODELLING AND SIMULATION, 4, 2020, 1-11 | en_US |
| dc.description.abstract | Tower crane is one of the flexible maneuvering systems that has been applied pervasively as a powerful big-scale construction machine. The under-actuated tower crane system has nonlinearity behavior with a coupling between translational and slew motions which increases the crane control challenge. In practical applications, most of the tower cranes are operated by a human operator which lead to unsatisfactory control tasks. Motivated to overcome the issues, this paper proposes a fuzzy logic controller based on single input rule modules dynamically connected fuzzy inference system for slew/translational positioning and swing suppressions of a 3 degree-of-freedom tower crane system. The proposed method can reduce the number of rules significantly, resulting in a simpler controller design. The proposed method achieves higher suppressions of at least 56% and 81% in the overall in-plane and out-plane swing responses, respectively as compared to PSO based PID+PD control. | en_US |
| dc.identifier.epage | 11 | |
| dc.identifier.issn | 2600-8084 | |
| dc.identifier.spage | 1 | |
| dc.identifier.uri | https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/93 | |
| dc.identifier.uri | https://oarep.usim.edu.my/handle/123456789/3754 | |
| dc.identifier.volume | 4 | |
| dc.language.iso | en | en_US |
| dc.publisher | Applications of Modelling and Simulation (AMS) | en_US |
| dc.relation.ispartof | Applications of Modelling and Simulation | en_US |
| dc.subject | Crane systems; Flexible system; Fuzzy logic control; Intelligent control; Single input rule module. | en_US |
| dc.title | Modelling and Fuzzy Logic Control of an Underactuated Tower Crane System | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |