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      An automatic Q-factor matching method for eliminating 77% of the ZRO of a MEMS vibratory gyroscope in rate mode

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          Abstract

          Mismatching quality factors (Q-factors) is one of the main factors causing zero-rate output (ZRO) in degenerate (DE) Micro-Electro-Mechanical Systems (MEMS) vibratory gyroscopes. To eliminate the ZRO of the DE MEMS gyroscope, this study introduces a method for real-time identification and automatic matching of Q-factors in rate mode. By leveraging the vibration characteristics of the DE MEMS vibratory gyroscope in rate mode, dedicated online test methods are designed to determine the Q-factors for both the drive and sense modes, enabling online identification of the Q-factor mismatching. Furthermore, an automatic Q-factor matching system is designed utilizing the mechanical-thermal dissipation mechanism of the resistive damper. The effectiveness of this proposed method is validated through simulations and experiments conducted on a MEMS disk resonator gyroscope (DRG). The results show a measurement error within 4% for Q-factor identification, and automatic Q-factor matching effectively reduces the ZRO by 77%. Employing this automatic Q-factor matching method successfully reduces the ZRO that is caused by the mismatching of Q-factors in the MEMS DRG from 0.11°/s to 0.025°/s and improves the bias instability (BI) from 0.40°/s to 0.19°/s.

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          Micromachined inertial sensors

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            A Novel Ultrasound Robot with Force/torque Measurement and Control for Safe and Efficient Scanning

            Medical ultrasound is of increasing importance in medical diagnosis and intraoperative assistance and possesses great potential advantages when integrated with robotics. However, some concerns, including the operation efficiency, operation safety, image quality, and comfort of patients, remain after introducing robotics into medical ultrasound. In this paper, an ultrasound robot integrating a force control mechanism, force/torque measurement mechanism, and online adjustment method, is proposed to overcome the current limitations. The ultrasound robot can measure operating forces and torques, provide adjustable constant operating forces, eliminate great operating forces introduced by accidental operations, and achieve various scanning depths based on clinical requirements. The proposed ultrasound robot would potentially facilitate sonographers to find the targets quickly, improve operation safety and efficiency, and decrease patients’ discomfort. Simulations and experiments were carried out to evaluate the performance of the ultrasound robot. Experimental results show that the proposed ultrasound robot is able to detect operating force in the z-direction and torques around the x- and y- directions with errors of 3.53% F.S., 6.68% F.S., and 6.11% F.S., respectively, maintain the constant operating force with errors of less than 0.57N, and achieve various scanning depths for target searching and imaging. This proposed ultrasound robot has good performance and would potentially be used in medical ultrasound.
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              Experimental study of thermoelastic damping in MEMS gyros

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                Author and article information

                Contributors
                zhoutong@njust.edu.cn
                Journal
                Microsyst Nanoeng
                Microsyst Nanoeng
                Microsystems & Nanoengineering
                Nature Publishing Group UK (London )
                2096-1030
                2055-7434
                24 May 2024
                24 May 2024
                2024
                : 10
                : 67
                Affiliations
                School of Mechanical Engineering, Nanjing University of Science and Technology, ( https://ror.org/00xp9wg62) Nanjing, 210000 China
                Author information
                http://orcid.org/0000-0002-8110-8755
                http://orcid.org/0000-0003-2617-6584
                Article
                695
                10.1038/s41378-024-00695-4
                11116552
                38799403
                9a9db43e-ee7c-4c01-a8ba-40c7b73ad001
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 September 2023
                : 10 January 2024
                : 17 February 2024
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 61971466
                Award ID: 62001223
                Award ID: 61971466
                Award ID: 62001223
                Award ID: 62001223
                Award ID: 61971466
                Award ID: 62001223
                Award Recipient :
                Funded by: Funder:Equipment Pre-Research Foundation of China,Grant Reference Number:80917020506.
                Categories
                Article
                Custom metadata
                © Aerospace Information Research Institute, Chinese Academy of Sciences 2024

                sensors,electrical and electronic engineering
                sensors, electrical and electronic engineering

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