High-Speed Piezoelectric MEMS Laser Tracking System for Different Intensity Illuminations
Laser tracking systems are essential for applications like communication, guidance, and UAV control. Traditional mechanical systems face challenges such as slow response times, interference from bright lights, and bulky designs. In contrast, the laser tracking system based on MEMS mirrors proposed in this paper offers advantages such as high speed, robustness in different intensity illuminations, and compactness. To achieve high-speed tracking, optimizations are conducted in MEMS mirror design and control, and the size selection of scanning patterns. After these optimizations, a maximum tracking speed of 3.77 m/s at 5 m is achieved. To ensure stable tracking for different intensity illuminations, optimizations are implemented in differential algorithms and optical filters for noise removal, as well as the SM fiber-coupled laser and VGA of PD for enhancing signal intensity. Finally, the tracking distance test has demonstrated stable target tracking at 110 meters. The tracking test of the UAV in motion has also been completed. These tests have validated the system’s tracking capabilities in specific application scenarios, providing a reference for the large-scale application of the tracking system.
Authors
- Yonggui Zhang
- Maoheng Jing (ORCID: https://orcid.org/0000-0002-2898-1301)
- Hao Huang (ORCID: https://orcid.org/0009-0007-6428-5817)
- Yongquan Su (ORCID: https://orcid.org/0000-0002-1116-8373)
- Zhenyu Wu (ORCID: https://orcid.org/0000-0002-0025-3521)
- Yang Wang
- A. Z. Li (ORCID: https://orcid.org/0009-0006-7762-5887)
- Pengcheng Zhang (ORCID: https://orcid.org/0000-0003-4106-6762)
- Chun Li (ORCID: https://orcid.org/0009-0000-5771-1733)
- Yichen Liu (ORCID: https://orcid.org/0000-0002-6681-5582)
- Lihao Wang (ORCID: https://orcid.org/0000-0002-4960-015X)
- Wenli Xue
- Zhichao Weng
Institutions
- Shanghai University (CN)
- State Key Laboratory of Transducer Technology (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- China Southern Power Grid (China) (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1109/jsen.2025.3578207
- Citations
- 1
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 4.99
Funders
- National Key Research and Development Program of China