Firefly Algorithm Optimization of Manipulator Robotic Control Based on Fast Terminal Sliding Mode
Published Online: Oct 20, 2023
Page range: 44 - 52
Received: Jun 18, 2022
Accepted: Aug 08, 2022
DOI: https://doi.org/10.14313/jamris/4-2022/32
Keywords
© 2022 Mallem Ali et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
In this paper a new algorithm of optimization in the field of manipulator robotic control is presented. The proposed control approach is based on fast terminal sliding mode control (FTSMC), in order to guarantee the convergence of the position articulations errors to zero in finite time without chattering phenomena, and the Firefly algorithm in order to generate the optimal parameters that ensure minimum reaching time and mean square error and achieve better performances. This ensures the asymptotic stability of the system using a Lyapunov candidate in the presence of disturbances. The simulations are applied on a two-link robotic manipulator with different tracking references by using Matlab/ Simulink. Results show the efficiency and confirm the robustness of the proposed control strategy.