Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming
In this article, a model-free decentralized sliding mode control method is proposed based on adaptive dynamic programming algorithm to solve the problem of optimal trajectory tracking control of modular and reconfigurable robots. The dynamic model of modular and reconfigurable robot is formulated by...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-12-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814019896923 |
| _version_ | 1818162403891740672 |
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| author | Bo Dong Tianjiao An Fan Zhou Weibo Yu |
| author_facet | Bo Dong Tianjiao An Fan Zhou Weibo Yu |
| author_sort | Bo Dong |
| collection | DOAJ |
| description | In this article, a model-free decentralized sliding mode control method is proposed based on adaptive dynamic programming algorithm to solve the problem of optimal trajectory tracking control of modular and reconfigurable robots. The dynamic model of modular and reconfigurable robot is formulated by a synthesis of joint subsystems with interconnected dynamic couplings. Based on sliding mode control technique, the optimal control problem of the modular and reconfigurable robot systems is transformed into an optimal compensation issue of unknown dynamics of each joint subsystems, in which the interconnected dynamic couplings effects among the subsystems are approximated by using the developed neural network identifier. Based on policy iteration scheme and the adaptive dynamic programming algorithm, the Hamilton–Jacobi–Bellman equation can be solved by using the critic neural network, so that optimal control policy can be obtained. The closed-loop system is proved to be asymptotically stable by using the Lyapunov theory. Finally, simulation results are provided to demonstrate the effectiveness of the method. |
| first_indexed | 2024-12-11T16:33:07Z |
| format | Article |
| id | doaj.art-4581f459ab0b4db7893a20fde16e1341 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-11T16:33:07Z |
| publishDate | 2019-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-4581f459ab0b4db7893a20fde16e13412022-12-22T00:58:33ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-12-011110.1177/1687814019896923Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programmingBo DongTianjiao AnFan ZhouWeibo YuIn this article, a model-free decentralized sliding mode control method is proposed based on adaptive dynamic programming algorithm to solve the problem of optimal trajectory tracking control of modular and reconfigurable robots. The dynamic model of modular and reconfigurable robot is formulated by a synthesis of joint subsystems with interconnected dynamic couplings. Based on sliding mode control technique, the optimal control problem of the modular and reconfigurable robot systems is transformed into an optimal compensation issue of unknown dynamics of each joint subsystems, in which the interconnected dynamic couplings effects among the subsystems are approximated by using the developed neural network identifier. Based on policy iteration scheme and the adaptive dynamic programming algorithm, the Hamilton–Jacobi–Bellman equation can be solved by using the critic neural network, so that optimal control policy can be obtained. The closed-loop system is proved to be asymptotically stable by using the Lyapunov theory. Finally, simulation results are provided to demonstrate the effectiveness of the method.https://doi.org/10.1177/1687814019896923 |
| spellingShingle | Bo Dong Tianjiao An Fan Zhou Weibo Yu Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming Advances in Mechanical Engineering |
| title | Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| title_full | Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| title_fullStr | Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| title_full_unstemmed | Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| title_short | Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| title_sort | model free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming |
| url | https://doi.org/10.1177/1687814019896923 |
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