@inproceedings{66dc5f2ea37a4f39861e3b600304376d,
title = "Magnetorheological Fluid-Based Threshold-Feedback Overload Protection System for the Miniature Turbine Generator",
abstract = "How to combine phase transition properties of magnetorheological (MR) material with control strategies in a micro-space is the key to promote the application of micro rotary mechanical system. Current control strategies are mainly developed for large-scale magnetorheological actuators, for which the energy conversion efficiency is different from that of the miniature MR actuator. This study proposes a threshold-feedback overload protection strategy for a miniature turbine generator. Sensorless control for the miniature turbine generator's rotational speed is also developed by directly capturing the frequency of the output voltage. The MR fluid-based threshold-feedback overload protection system is systematically modelled to explain its operating principle for the rotational speed. A series of threshold voltage (Ur=4.0 V, 5.0 V and 6.0 V) was used to test the threshold-feedback overload protection control effect. Results show that the rotational speed is controlled from 8333 r/min to 5312 r/min with a threshold voltage of 4.0 V. Experimental results can be well explained by the proposed MR fluid-based threshold-feedback model. A favourable threshold-feedback overload protection effect is also demonstrated under the variable wind speed condition. We believe this work is significant for the function expanding and performance improvement of miniature turbine generator.",
keywords = "magnetorheological material, miniature turbine generator, overload protection, threshold feedback control",
author = "Tong Wu and Tairong Zhu and Kaiquan Li and Jianwen Wu and Mingyuan Gao and Jun Dai",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023 ; Conference date: 02-11-2023 Through 04-11-2023",
year = "2023",
doi = "10.1109/ICSMD60522.2023.10490583",
language = "English",
series = "ICSMD 2023 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSMD 2023 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, Proceedings",
address = "United States",
}