A novel traveling wave rotary ultrasonic motor with piezoelectric backup function

Lin, Yang; Hu, Xiaobin; Yang, Menglong; Huan, Yongjie; Ren, Weihao; Xiong, Yu; Li, Heng

doi:10.1177/1045389x231187484

Cited by 7 publications

(1 citation statement)

References 26 publications

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“…Through friction coupling between the rotor and stator, USM can generate macroscopic driving torque by controlling the mechanical deformation of the driving foot and rotor, as shown in figure 2. Compared with traditional motors, it has advantages in high torque, quick response, non-magnetic properties, and off-power self-braking [3]. For this reason, USM was successfully used as a micro-manipulator of the American Micro lander and exploration rovers for Mars and also applied to China's Yutu rovers in Chang'e-3 and 4 lunar probes to control the switch of a spectrometer [4,5].…”

Section: Introductionmentioning

confidence: 99%

Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM

Li,

Qin,

Zhang

et al. 2024

Meas. Sci. Technol.

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The ultrasonic motor is peculiarly prone to failure due to continuous high-frequency friction-related power transfer, whose failure mechanisms are remarkably different from traditional induction motors. Intelligent fault diagnosis provides a way to alarm and avoid catastrophic losses proactively. However, previous studies using deep learning usually ignore the inherent geometric structure of the signal distribution. This paper proposes an intelligent multi-signal fault diagnosis framework for ultrasonic motors to restore the linear or nonlinear manifold structure by preserving the internal structure by integrating graph regularization with deep neural networks. Firstly, the one-dimensional CNN to learn spatial correlations and BiLSTM to exploit temporal dependencies are coalesced to build the deep neural network. Then, an improved k-nearest neighbor graph is proposed to protect the geometric structure information and force the latent features to be more concentrated within their classes. Moreover, the layer in the deep architecture to integrate graph regularization is designed to reduce computation cost, and an adaptive decay strategy is considered to adjust the coefficient of graph regularized automatically. A two-stage training algorithm is developed by considering the time to calculate the graph regularization term. Finally, the proposed multi-signal fault diagnosis framework is validated using datasets from the fault injection experiment of ultrasonic motors in China’s Yutu rover of Chang’e lunar probe. Experimental results show that the proposed method can effectively discriminate different fault types.

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Section: Introductionmentioning

confidence: 99%

Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM

Li,

Qin,

Zhang

et al. 2024

Meas. Sci. Technol.

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Improving Output Performance of the Ultrasonic Multicell Piezoelectric Motor by Development the Multi-Rotor Structure

Ryndzionek

2024

IEEE Access

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In recent years, many researches have been carried out on piezoelectric multi-rotor structures. This paper describes the analysis, development and experimental process of an ultrasonic multi-cell piezoelectric motor using a multi-rotor structure. In this design, three independent cells have been integrated into a mechatronic system. Analytical model and finite element method are used for modal and dynamic analysis of the proposed motor. The multicell motor prototype has been manufactured and tested in the laboratory. Finally, the results of analytical, simulations and experimental investigation have been compared. The compared results are in satisfactory agreement. The measured parameters were: resonance frequency characteristics, mechanical characteristics of the single actuator and the complete assembled motor. The maximum speed and load of the motor have been determined. The maximum speed of 512 rpm was obtained with a voltage of 86 Vrms and the maximum stall torque was 120 mNm. Finally, the multi-rotor structure was compared with other rotary ultrasonic structures.

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Resonant Inertial Linear Ultrasonic Motor Based on Double-Bending Modes

Yang,

Hong,

Xiong

et al. 2024

Preprint

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A novel traveling wave rotary ultrasonic motor with piezoelectric backup function

Cited by 7 publications

References 26 publications

Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM

Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM

Improving Output Performance of the Ultrasonic Multicell Piezoelectric Motor by Development the Multi-Rotor Structure

Resonant Inertial Linear Ultrasonic Motor Based on Double-Bending Modes

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