A hybrid Fuzzy approach of different controllers to stabilize a 3-link swinging robotic (Robogymnast)

Abdul Samad, Bdereddin ORCID: https://orcid.org/0000-0002-9140-5024, Mohamed, Mahmoud ORCID: https://orcid.org/0000-0001-9386-7495, Anayi, Fatih ORCID: https://orcid.org/0000-0001-8408-7673 and Melikhov, Yevgen ORCID: https://orcid.org/0000-0002-9787-5238 2022. A hybrid Fuzzy approach of different controllers to stabilize a 3-link swinging robotic (Robogymnast). Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE, pp. 2433-2437. 10.1109/ICACITE53722.2022.9823768

Full text not available from this repository.

Abstract

In the research presented here, a Fuzzy logic controller is tuned for both a Linear Quadratic Regulator (LQR) and a proportional derivative (PD) controller, which are applied in stabilizing a multi-link robotic system called the Robogymnast. The Robogymnast imitates the activity of gymnast on the high bar swinging up to reach a vertical handstand, keeping the hands in contact with the bar. To replicate this, the section of the robotic system representing the hands is securely attached to the high bar via ball bearing mountings which can rotate freely. This study investigates problems of controlled upswing, using the underactuated, three-link Robogymnast system. The mathematical system modelling is linearised evaluating methods which employ Largran's equation for state-space determinations. The study employed a controller based on Fuzzy LQR [1] to implement the system and an evaluation was made of how far response was stabilised. This evaluation was repeated applying a Fuzzy PD controller, with comparisons of each controller's performance made. In the final part of the study, the system was simulated using MATLAB Simulink, examining a range of factors such as rise and settling time, as well as over and undershoot. This paper chiefly aims to evaluate Robogymnast implementation with a fuzzy logic/LQR controller.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781665437905
Last Modified:	06 Jul 2023 02:13
URI:	https://orca.cardiff.ac.uk/id/eprint/152043

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item