Mr. Kaidi Wang Profile

Kaidi Wang

at Xi'an Institute of Optics and Precision Mechanics

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Publications (3)

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Proceedings Article | 24 June 2021 Paper

Design of secondary lens focusing mechanism for multispectral camera

Rui Wang, Xiuqin Su, Yongming Qiao, Tao Lv, Xuan Wang, Kaidi Wang, Yuan Tian

Proceedings Volume 11885, 1188512 (2021) https://doi.org/10.1117/12.2602300

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Due to the influence of mechanical environment, large range temperature change and atmospheric pressure, the space multispectral camera has a certain amount of defocus in the optical imaging system. In order to improve the imaging quality of the multispectral camera, if the traditional CAM focusing mechanism is adopted, it is difficult to meet the requirements of high precision focusing for fast response due to its disadvantages such as large volume, poor efficiency and low precision. Therefore, a new focusing mechanism is designed in this paper, which is composed of rhomboid amplifier large piezoelectric ceramic actuator, flexible hinge support structure and high-precision capacitance sensor. The mechanism drives the flexible support guide structure of the parallelogram by means of a rhomboid amplifier large PZT actuator with three points distributed uniformly and symmetrically at 120°, so that the lens base can move in a straight line along the Z direction. The high precision capacitance sensor is used as the feedback element to ensure the focusing accuracy of the mechanism reaches nanometer level. The test results show that the focusing range of this mechanism is ±21.91um, the focusing speed is 438um/s, the focusing precision is 50nm and the tilt error is 1".

Proceedings Article | 15 January 2021 Paper

Modeling and simulation analysis of a non-line-of-sight infrared laser imaging system

Jingjing Tan, Xiuqin Su, Kaidi Wang, Jingyao Wu

Proceedings Volume 11761, 117610M (2021) https://doi.org/10.1117/12.2585336

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Non-line-of-sight (NLOS) imaging technology is to ‘see’ the target out of sight, such as an object around a corner or hidden by some shelters. However, due to constraints of device definition and computing load, NLOS system is usually expensive and requires hidden objects with special material and simple shape. Besides, imaging space of system is limited. We perform a series of simulation with 1550nm infrared laser to expand the application field and improve the performance of NLOS system. Based on math and physical properties, main experimental components are modeled and data acquisition process is completed first. Then, the ellipsoid inversion algorithm is used to reconstruct the hidden space and imaging results are obtained. Finally, multiple series of system parameters are set and their influence on imaging results is analyzed. Results demonstrate that echo signal intensity after multiple reflections provides adequate information to reconstruct the geometry of a hidden object. However, the number of laser scanning position, resolution of detector, voxel division and location of the scanning area will all have a critical influence on NLOS imaging results.

Proceedings Article | 28 February 2017 Paper

ADRC system of FSM for image motion compensation

Kaidi Wang, Xiuqin Su, Zhe Li, Shaobo Wu

Proceedings Volume 10256, 1025604 (2017) https://doi.org/10.1117/12.2268727

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In order to increase the speed controlling accuracy of fast steering mirror (FSM) for image motion compensation and thus to increase the definition of picture taken by moving camera, active disturbance rejection control (ADRC) is designed. First, mathematical model of FSM driven by voice coil motor (VCM) is established. Next, ADRC algorithm and its simplified form in actual application are clarified. Finally, simulation research for controlled object is made. The result is compared to control effect of PID. Simulation curves demonstrate that the settling time of ADRC is 6 ms and the bandwidth of system attains 102.2 Hz, which are nearly the same as those of PID. When the error is very small, it can converge to zero at a faster rate if ADRC is used. When the same range disturbance is given to system, the relative error of ADRC reaches 0.050%, which is about 42% of that of PID.

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