Finite-time Adaptive Gain Terminal Sliding Mode Control for Uncertain Ball and Beam System Based on Honey Badger-RBF Algorithm
| dc.contributor.author | Jitkhamhaeng, Ponpawit | |
| dc.contributor.author | Wongvanich, Napasool | |
| dc.contributor.author | Tangsrirat, Worapong | |
| dc.date.accessioned | 2026-08-06T10:51:50Z | |
| dc.date.available | 2026-08-06T10:51:50Z | |
| dc.date.issued | 2025-08-01 | |
| dc.description.abstract | This paper presents a finite-time fast terminal sliding mode control (FTSMC) for an uncertain ball and beam system (BBS) to achieve desired states or corrections within a finite time frame, which is a crucial aspect of the control system performance. An integral-based parameter identification method was first derived to give a nominal model of the BBS before designing the FTSMC. A robustness analysis reveals that this method could robustly achieve identification within a bound. The designed FTSMC was enhanced through the use of the honey badger algorithm (HBA), which was combined with the normal radial basis function neural network (RBF-NN) to create an HBA-RBF network. Experimental results show that the proposed HBA-RBF network-based finite-time adaptive terminal sliding mode controller improved the response rate, as well as reduced the risk of chattering. The HBA-RBF network not only enhances controller performance but also ensures robust and reliable control, making it a promising approach for handling uncertainties in control systems. | |
| dc.identifier.citation | International Journal of Control Automation and Systems, 23(8), 2433-2450, 2025 | |
| dc.identifier.doi | 10.1007/s12555-024-0712-8 | |
| dc.identifier.issn | 15986446 | |
| dc.identifier.other | 2-s2.0-105013279175 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/17155 | |
| dc.source | International Journal of Control Automation and Systems | |
| dc.subject | Ball and beam system | |
| dc.subject | finite-time terminal sliding mode control | |
| dc.subject | honey badger algorithm | |
| dc.subject | radial basis function (RBF) neural network | |
| dc.title | Finite-time Adaptive Gain Terminal Sliding Mode Control for Uncertain Ball and Beam System Based on Honey Badger-RBF Algorithm | |
| dc.type | Article |