An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast)
An approach to controlling the three-link Robogymnast robotic gymnast and assessing stability is proposed and examined. In the study, a conventionally configured linear quadratic regulator is applied and compared with a fuzzy logic linear quadratic regulator hybrid approach for stabilising the Robog...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Online Access: | https://www.mdpi.com/2673-9585/2/3/28 |
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| author | Bdereddin Abdul samad Mahmoud Mohamed Fatih Anayi Yevgen Melikhov |
| author_facet | Bdereddin Abdul samad Mahmoud Mohamed Fatih Anayi Yevgen Melikhov |
| author_sort | Bdereddin Abdul samad |
| collection | DOAJ |
| description | An approach to controlling the three-link Robogymnast robotic gymnast and assessing stability is proposed and examined. In the study, a conventionally configured linear quadratic regulator is applied and compared with a fuzzy logic linear quadratic regulator hybrid approach for stabilising the Robogymnast. The Robogymnast is designed to replicate the movement of a human as they hang with both hands holding the high bar and then work to wing up into a handstand, still gripping the bar. The system, therefore has a securely attached link between the hand element and the ‘high bar’, which is mounted on ball bearings and can rotate freely. Moreover, in the study, a mathematical model for the system is linearised, investigating the means of determining the state space in the system by applying Lagrange’s equation. The fuzzy logic linear quadratic regulator controller is used to identify how far the system responses stabilise when it is implemented. This paper investigates factors affecting the control of swing-up in the underactuated three-link Robogymnast. Moreover, a system simulation using MATLAB Simulink is conducted to show the impact of factors including overshoot, rising, and settling time. The principal objective of the study lies in investigating how a linear quadratic regulator or fuzzy logic controller with a linear quadratic regulator (FLQR) can be applied to the Robogymnast, and to assess system behaviour under five scenarios, namely the original value, this value plus or minus ±25%, and plus or minus ±50%. In order to further assess the performance of the controllers used, a comparison is made between the outcomes found here and findings in the recent literature with fuzzy linear quadratic regulator controllers. |
| first_indexed | 2024-03-09T18:14:20Z |
| format | Article |
| id | doaj.art-ffeb341e12fa4690acd5c0cf6bda5805 |
| institution | Directory Open Access Journal |
| issn | 2673-9585 |
| language | English |
| last_indexed | 2024-03-09T18:14:20Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
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| series | Knowledge |
| spelling | doaj.art-ffeb341e12fa4690acd5c0cf6bda58052023-11-24T08:55:15ZengMDPI AGKnowledge2673-95852022-09-012346548610.3390/knowledge2030028An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast)Bdereddin Abdul samad0Mahmoud Mohamed1Fatih Anayi2Yevgen Melikhov3Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKWolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKWolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKWolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UKAn approach to controlling the three-link Robogymnast robotic gymnast and assessing stability is proposed and examined. In the study, a conventionally configured linear quadratic regulator is applied and compared with a fuzzy logic linear quadratic regulator hybrid approach for stabilising the Robogymnast. The Robogymnast is designed to replicate the movement of a human as they hang with both hands holding the high bar and then work to wing up into a handstand, still gripping the bar. The system, therefore has a securely attached link between the hand element and the ‘high bar’, which is mounted on ball bearings and can rotate freely. Moreover, in the study, a mathematical model for the system is linearised, investigating the means of determining the state space in the system by applying Lagrange’s equation. The fuzzy logic linear quadratic regulator controller is used to identify how far the system responses stabilise when it is implemented. This paper investigates factors affecting the control of swing-up in the underactuated three-link Robogymnast. Moreover, a system simulation using MATLAB Simulink is conducted to show the impact of factors including overshoot, rising, and settling time. The principal objective of the study lies in investigating how a linear quadratic regulator or fuzzy logic controller with a linear quadratic regulator (FLQR) can be applied to the Robogymnast, and to assess system behaviour under five scenarios, namely the original value, this value plus or minus ±25%, and plus or minus ±50%. In order to further assess the performance of the controllers used, a comparison is made between the outcomes found here and findings in the recent literature with fuzzy linear quadratic regulator controllers.https://www.mdpi.com/2673-9585/2/3/28RobogymnastLQRfuzzy logic(FLQR)swing-upmulti-link robotics |
| spellingShingle | Bdereddin Abdul samad Mahmoud Mohamed Fatih Anayi Yevgen Melikhov An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) Knowledge Robogymnast LQR fuzzy logic (FLQR) swing-up multi-link robotics |
| title | An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) |
| title_full | An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) |
| title_fullStr | An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) |
| title_full_unstemmed | An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) |
| title_short | An Investigation of Various Controller Designs for Multi-Link Robotic System (Robogymnast) |
| title_sort | investigation of various controller designs for multi link robotic system robogymnast |
| topic | Robogymnast LQR fuzzy logic (FLQR) swing-up multi-link robotics |
| url | https://www.mdpi.com/2673-9585/2/3/28 |
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