Liyana RamliIzzuddin M. LazimHazriq Izzuan JaafarZaharuddin Mohamed2024-05-272024-05-2720202600-8084https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/93https://oarep.usim.edu.my/handle/123456789/3754L. RAMLI ET AL. APPLICATIONS OF MODELLING AND SIMULATION, 4, 2020, 1-11Tower 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.enCrane systems; Flexible system; Fuzzy logic control; Intelligent control; Single input rule module.Article1114