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基于超声阵列的多点触觉反馈相位优化

Phase Optimization for Multipoint Haptic Feedback Based on Ultrasound Array.

作者信息

Long Zhili, Ye Shuyuan, Peng Zhao, Yuan Yuyang, Li Zhuohua

机构信息

Harbin Institute of Technology Shenzhen, Shenzhen 518055, China.

出版信息

Sensors (Basel). 2022 Mar 20;22(6):2394. doi: 10.3390/s22062394.

DOI:10.3390/s22062394
PMID:35336565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8949327/
Abstract

Ultrasound-based haptic feedback is a potential technology for human-computer interaction (HCI) with the advantages of a low cost, low power consumption and a controlled force. In this paper, phase optimization for multipoint haptic feedback based on an ultrasound array was investigated, and the corresponding experimental verification is provided. A mathematical model of acoustic pressure was established for the ultrasound array, and then a phase-optimization model for an ultrasound transducer was constructed. We propose a pseudo-inverse (PINV) algorithm to accurately determine the phase contribution of each transducer in the ultrasound array. By controlling the phase difference of the ultrasound array, the multipoint focusing forces were formed, leading to various shapes such as geometries and letters, which can be visualized. Because the unconstrained PINV solution results in unequal amplitudes for each transducer, a weighted amplitude iterative optimization was deployed to further optimize the phase solution, by which the uniform amplitude distributions of each transducer were obtained. For the purpose of experimental verification, a platform of ultrasound haptic feedback consisting of a Field Programmable Gate Array (FPGA), an electrical circuit and an ultrasound transducer array was prototyped. The haptic performances of a single point, multiple points and dynamic trajectory were verified by controlling the ultrasound force exerted on the liquid surface. The experimental results demonstrate that the proposed phase-optimization model and theoretical results are effective and feasible, and the acoustic pressure distribution is consistent with the simulation results.

摘要

基于超声的触觉反馈是一种用于人机交互(HCI)的潜在技术,具有低成本、低功耗和可控力的优点。本文研究了基于超声阵列的多点触觉反馈的相位优化,并提供了相应的实验验证。建立了超声阵列的声压数学模型,然后构建了超声换能器的相位优化模型。我们提出了一种伪逆(PINV)算法来精确确定超声阵列中每个换能器的相位贡献。通过控制超声阵列的相位差,形成了多点聚焦力,从而产生了各种形状,如几何图形和字母,这些形状可以可视化。由于无约束的PINV解导致每个换能器的振幅不相等,因此采用加权振幅迭代优化来进一步优化相位解,从而获得每个换能器的均匀振幅分布。为了进行实验验证,搭建了一个由现场可编程门阵列(FPGA)、电路和超声换能器阵列组成的超声触觉反馈平台。通过控制施加在液体表面的超声力,验证了单点、多点和动态轨迹的触觉性能。实验结果表明,所提出的相位优化模型和理论结果是有效可行的,声压分布与仿真结果一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/2c4bdea94864/sensors-22-02394-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/f24f1a6ef257/sensors-22-02394-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/33581500ce99/sensors-22-02394-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/48b7a80c85d8/sensors-22-02394-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/2c4bdea94864/sensors-22-02394-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/f24f1a6ef257/sensors-22-02394-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/33581500ce99/sensors-22-02394-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/48b7a80c85d8/sensors-22-02394-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/8949327/2c4bdea94864/sensors-22-02394-g006.jpg

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