| Autor: |
Liheng Chen, Qingsong Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 28-40 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2644-1284 |
| DOI: |
10.1109/OJIES.2024.3355192 |
| Popis: |
This article proposes a new reinforcement learning (RL)-based adaptive control design for precision motion control of a two-degree-of-freedom piezoelectric XY nanopositioning system. In this design, an actor-critic structure is developed to eliminate the effects of uncertain nonlinearities and cross-coupling motion between the two working axes. Then, an adaptive parameter adjustment mechanism is designed to optimize the control performance without a priori knowledge of the unknown perturbations. The effectiveness and superiority of the proposed method are verified by performing simulation and experimental studies. The results show that the proposed RL-based adaptive control method provides a better robust performance and smaller tracking error for the nanopositioning system. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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