Volume 47 Issue S1
Jul.  2018
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Wang Kaidi, Su Xiuqin, Li Zhe, Wu Shaobo. Time-frequency characteristics optimal control of fast steering mirror for image motion compensation[J]. Infrared and Laser Engineering, 2018, 47(S1): 112-118. doi: 10.3788/IRLA201847.S120003
Citation: Wang Kaidi, Su Xiuqin, Li Zhe, Wu Shaobo. Time-frequency characteristics optimal control of fast steering mirror for image motion compensation[J]. Infrared and Laser Engineering, 2018, 47(S1): 112-118. doi: 10.3788/IRLA201847.S120003

Time-frequency characteristics optimal control of fast steering mirror for image motion compensation

doi: 10.3788/IRLA201847.S120003
  • Received Date: 2018-03-12
  • Rev Recd Date: 2018-04-07
  • Publish Date: 2018-06-25
  • In order to further optimize time and frequency domain characteristics of fast steering mirror (FSM) for image motion compensation and thus to increase the definition of picture taken by moving camera, a control system based on linear extended state observer(LESO), zero phase error tracking control(ZPETC) and Kalman filter was designed. First, mathematical model of FSM driven by voice coil motor(VCM) was established. Next, principles of LESO, ZPETC and Kalman filter were clarified. Finally, experimental research for controlled object was made. Step response curves demonstrate that the settling time reaches 2.5 ms. Besides, compared to proportional-integral-differential(PID) control system, relative error of output converges to zero faster when it is less than 1%. Bode diagram shows that the bandwidth attains 369 Hz, which is more than 1.5 times that of PID control system. Meanwhile, phase lag reduces nearly a half. When disturbance is added, average relative error of the designed system reaches 0.028%, reduced by 75% compared to that of PID control system. Pictures taken by camera illustrate that this control method makes both subjective visual effect and objective evaluation parameters of image improve further.
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    [2] Long Y, Wang C, Dai X, et al. Modeling and analysis of a novel two-axis rotary electromagnetic actuator for fast steering mirror[J]. Journal of Magnetics, 2014, 19(2):130-139.
    [3] Kluk D J, Boulet M T, Trumper D L. A high-bandwidth, high-precision, two-axis steering mirror with moving iron actuator[J]. Mechatronics, 2016, 22(3):257-270.
    [4] Zhu W, Bian L, An Y, et al. Modeling and control of a two-axis fast steering mirror with piezoelectric stack actuators for laser beam tracking[J]. Smart Materials Structures, 2015, 24(7):075014.
    [5] Cho M, Corredor A, Dribusch C, et al. Development of GMT fast steering secondary mirror assembly[C]//Proceedings of SPIE, 2014, 9145:91451M.
    [6] Liu W, Yao K, Huang D, et al. Performance evaluation of coherent free space optical communications with a double-stage fast steering mirror adaptive optics system depending on the Greenwood frequency[J]. Optics Express, 2016, 24(12):13288-13302.
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    [8] Obrien M J, Smith W B. Fast steering mirror:US, 8128246B1[P]. 2012.
    [9] Huang P, Ge W, Li Y, et al. Linear auto disturbance rejection control of forward image motion compensation in aerial cameras[J]. Optics and Precision Engineering, 2011, 19(4):812-819. (in Chinese)
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Time-frequency characteristics optimal control of fast steering mirror for image motion compensation

doi: 10.3788/IRLA201847.S120003
  • 1. Xi'an Institute of Optics and Precision Mechanics of CAS,Xi'an 710119,China;
  • 2. University of Chinese Academy of Sciences,Beijing 100049,China

Abstract: In order to further optimize time and frequency domain characteristics of fast steering mirror (FSM) for image motion compensation and thus to increase the definition of picture taken by moving camera, a control system based on linear extended state observer(LESO), zero phase error tracking control(ZPETC) and Kalman filter was designed. First, mathematical model of FSM driven by voice coil motor(VCM) was established. Next, principles of LESO, ZPETC and Kalman filter were clarified. Finally, experimental research for controlled object was made. Step response curves demonstrate that the settling time reaches 2.5 ms. Besides, compared to proportional-integral-differential(PID) control system, relative error of output converges to zero faster when it is less than 1%. Bode diagram shows that the bandwidth attains 369 Hz, which is more than 1.5 times that of PID control system. Meanwhile, phase lag reduces nearly a half. When disturbance is added, average relative error of the designed system reaches 0.028%, reduced by 75% compared to that of PID control system. Pictures taken by camera illustrate that this control method makes both subjective visual effect and objective evaluation parameters of image improve further.

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