Controller Design and Simulation High-Gain Nonlinear Observer for Three-Joint PUMA Robot Regards to Adaptive Fuzzy Sliding Mode Controller with Uncertainly Condition

International Journal of Smart Electrical Engineering

دوره 12، شماره 03، آذر 2023، صفحه 209-220   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/ijsee.2022.1959508.1205

نویسندگان

Mahsa Motaei¹؛ Mehdi Edrisi²؛ Ghazanfar Shahgholian^{* 3}

¹Najafabad Branch, Islamic Azad University

²Department of Electronics Engineering, Isfahan University, Isfahan, Iran

³Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

چکیده

In this study, a novel sliding mode adaptive controller is developed for three-link PUMA robot, regards to high-gain fuzzy observer in an uncertainty condition. The studied system has uncertain nonlinear functions, multiple inputs and outputs, and non-measurable scenarios, and therefore requires an observation design. To design the controller, fuzzy systems were initially utilized to approximate non-linear uncertain functions, and then a sup posable observer is available to estimate non-measurable system states. Finally, by combining the adaptive fuzzy controller and feedback lineari zation method, a high-gain observer-based fuzzy control was developed. In order to this approach is used as enhance performance indicators of the control system. Fuzzy Takagi-Sugeno systems were employed to find the control gain. In the proposed control method, the convergence of tracking the desired reference signal of the system can be guaranteed by designing the adaption's parameters. The simulation results demonstrated the validity of the control method. .

کلیدواژه‌ها

Observer؛ Fuzzy Takagi-Sugeno؛ Linearization؛ Adaptive