Academic Journal
Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System
| العنوان: | Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System |
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| المؤلفون: | Liheng Chen, Qingsong Xu |
| المصدر: | IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 28-40 (2024) |
| بيانات النشر: | IEEE, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Electronics LCC:Industrial engineering. Management engineering |
| مصطلحات موضوعية: | Motion control, nanopositioning, piezoelectric actuator, reinforcement learning (RL) adaptive control, Electronics, TK7800-8360, Industrial engineering. Management engineering, T55.4-60.8 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2644-1284 |
| Relation: | https://ieeexplore.ieee.org/document/10402007/; https://doaj.org/toc/2644-1284 |
| DOI: | 10.1109/OJIES.2024.3355192 |
| URL الوصول: | https://doaj.org/article/c744e5fd0600461ca7a044057be28116 |
| رقم الانضمام: | edsdoj.744e5fd0600461ca7a044057be28116 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 26441284 |
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| DOI: | 10.1109/OJIES.2024.3355192 |