تقرير
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators
| العنوان: | Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators |
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| المؤلفون: | Moya-Lasheras, Eduardo, Ramirez-Laboreo, Edgar, Sagues, Carlos |
| المصدر: | E. Moya-Lasheras, E. Ramirez-Laboreo and C. Sagues, "Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators," in IEEE Transactions on Control Systems Technology, vol. 28, no. 5, pp. 1956-1963, Sept. 2020 |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Systems and Control |
| الوصف: | The impact forces during switching operations of short-stroke actuators may cause bouncing, audible noise and mechanical wear. The application of soft-landing control strategies to these devices aims at minimizing the impact velocities of their moving components to ultimately improve their lifetime and performance. In this paper, a novel approach for soft-landing trajectory planning, including probability functions, is proposed for optimal control of the actuators. The main contribution of the proposal is that it considers uncertainty in the contact position and hence the obtained trajectories are more robust against system uncertainties. The problem is formulated as an optimal control problem and transformed into a two-point boundary value problem for its numerical resolution. Simulated and experimental tests have been performed using a dynamic model and a commercial short-stroke solenoid valve. The results show a significant improvement in the expected velocities and accelerations at contact with respect to past solutions in which the contact position is assumed to be perfectly known. Comment: 8 pages, 5 figures. This is the accepted version of an already published paper (see Journal reference) |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/TCST.2019.2918479 |
| URL الوصول: | http://arxiv.org/abs/2404.01125 |
| رقم الأكسشن: | edsarx.2404.01125 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/TCST.2019.2918479 |
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