May 2017

Article Contents

Chinese Optics> 2017> 10(3): 355-362.

ZHU Feng, ZHANG Bao, LI Xian-tao, JIN Chao-qiong, SHEN Shuai. Application of tracking differentiator to gyro signal denoising[J]. Chinese Optics, 2017, 10(3): 355-362. doi: 10.3788/CO.20171003.0355

Citation:

ZHU Feng, ZHANG Bao, LI Xian-tao, JIN Chao-qiong, SHEN Shuai. Application of tracking differentiator to gyro signal denoising[J].Chinese Optics, 2017, 10(3): 355-362.doi:10.3788/CO.20171003.0355

ZHU Feng, ZHANG Bao, LI Xian-tao, JIN Chao-qiong, SHEN Shuai. Application of tracking differentiator to gyro signal denoising[J]. Chinese Optics, 2017, 10(3): 355-362. doi: 10.3788/CO.20171003.0355

Citation:

ZHU Feng, ZHANG Bao, LI Xian-tao, JIN Chao-qiong, SHEN Shuai. Application of tracking differentiator to gyro signal denoising[J].Chinese Optics, 2017, 10(3): 355-362.doi:10.3788/CO.20171003.0355

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Application of tracking differentiator to gyro signal denoising

doi:10.3788/CO.20171003.0355

ZHU Feng^{1, 2,},
ZHANG Bao^1,,,
LI Xian-tao¹,
JIN Chao-qiong^{1, 2},
SHEN Shuai^{1, 2}

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds:

National High-tech R & D Program of China2013AA122102

Received Date:25 Jan 2017
Rev Recd Date:29 Mar 2017
Publish Date:01 Jun 2017

Abstract

Abstract

In order to improve the aviation optical axis stabilization accuracy of the photoelectric stabilized platform, we use tracking differentiator as filter to decrease the negative effects of random noise on the control accuracy. on the basis of the filtered signals and their differentiated signals, the phase delays after being filtered are compensated by predicting. This algorithm is model-independent and easy to implement with small calculation. In this paper, the discrete mathematics of the algorithm is described, and the numerical simulation and experimental verification are conducted and applied to the photoelectric stabilized platform for aviation. The results show that the tracking differentiator, compared with the Butterworth filter, can improve the performance of the step response, shorten the maximum overshoot by 10.5%, cut down the rise time by 4.5 ms, shorten the setting time by 50 ms. The simulation and experiment proved the validity and practicability of the algorithm. It can meet the system requirements for real time, higher precision and rapid speed, as well as strong anti-jamming and stabilization. It also indicates that the tracking differentiator provide good value for the improvement of the precision of the photoelectric stabilized platform for aviation.
- tracking differentiator,
- filter,
- random noise,
- phase delay,
- photoelectric stabilized platform for aviation

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References (14)

References

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