Prof. Yu Lin Profile

Prof. Yu Lin

at Kunming Institute of Physics

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Publications (2)

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Proceedings Article | 30 April 2024 Paper

A servo control method for continuous zoom optical system based on improved model predictive control

Ruohan Feng, Ruihua Li, Yu Lin, Heng Yang, Hui Xiong

Proceedings Volume 13153, 131530T (2024) https://doi.org/10.1117/12.3018187

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The continuous zoom optical system has the ability to continuously observe and lock targets during the field of view conversion process, which can be used for target search, tracking, reconnaissance, and early warning. In order to ensure clear imaging of targets at different distances, in addition to controlling the change in magnification, it is also necessary to fine tune the zoom position. This fine-tuning requires precise positioning of the zoom motor, frequent step changes, and start-stop commutation. Therefore, the motor is greatly affected by interference such as friction and torque fluctuations. In addition, oscillations and crawling may occur at low speeds. In response to the above issues, this paper proposes an improved MPC control strategy, adding PID inner loop to the traditional MPC to improve the anti-interference ability of the system. Moreover, this algorithm can effectively handle multivariable problems with constraints, using rolling optimization to determine the current optimal control strategy, thereby improving the position tracking accuracy, antiinterference, and response speed of the DC zoom motor.

Proceedings Article | 12 March 2021 Paper

Research on correlation of infrared image quality evaluation indexes for target tracking

Jinbo Li, Jin Zhang, Xinyue Du, Dandan Lin, Yu Lin

Proceedings Volume 11763, 1176343 (2021) https://doi.org/10.1117/12.2586891

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The automatic recognition and tracking of infrared imaging targets is an inevitable trend in the development of infrared precision guidance weapons in the future. Infrared imaging guidance is a guidance method that relies on infrared images for target recognition and tracking. The characteristics of the image sequence determine the difficulty of target tracking. Therefore, adding infrared image quality evaluation technology to the performance evaluation of the tracker will certainly play a greater role in its future technological development. In order to establish the correlation between the infrared image quality evaluation index and the performance evaluation index of the automatic target tracking algorithm, it is first proposed to consider adding the challenge attribute in the tracker data set to the infrared image quality evaluation index to establish the infrared image quality evaluation index and the tracker. The correspondence between the data set challenge attributes. The new evaluation method can not only make the performance evaluation of the tracker more accurate and comprehensive, and provide a judgment on whether the infrared image is recognizable and traceable, but also can specifically determine the applicable scene of the tracker according to the value of the evaluation index. Have engineering practical significance.

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