Forward Image Motion Compensation for Aerial Camera Based on Neural Network Predictive Control

doi:10.3969/j.issn.1000-1093.2012.06.012

Abstract

Abstract: In order to compensate forward image motion of a certain aviation camera, the reasons for it were analyzed, and the compensation methods were studied. Firstly, the mechanism of image motion was found out on the basis of the camera’s principle. Secondly, a neural network model (NNM) was used to identify the nonlinear characteristics of the system’s response in time domain. Finally, according to the prediction given by NNM, the control signal was adjusted by using optimal algorithm to make the tracking performance of the scanning mirror optimal. This method overcomes some shortcomings of traditional PID control, such as low accuracy, slow response and weak adaptability. The compensation results show that the compensated angular speed of scanning mirror can track the desired angular speed.

Key words: automatic control technology, aviation camera, forward image motion, image motion compensation, neural network, predictive control

CLC Number:

TP391.4

ZHONG Chong-liang， DING Ya-lin， FU Jin-bao. Forward Image Motion Compensation for Aerial Camera Based on Neural Network Predictive Control[J]. Acta Armamentarii, 2012, 33(6): 706-711.

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