Research of fine tracking servo system for FSO terminal
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Department of Information Engineering, Hubei Normal University, Hangshi 435002, China;
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School of Electronic Information, Wuhan University, Wuhan 430079, China
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Corresponding author:
AI Yong, aiyong@public.wh.hb.cn
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Received Date:
2008-05-04
Accepted Date:
2008-08-19
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Abstract
In order to improve tracking precision,and solve the control problem of uncertainty of beacon vibration,creep resistance and nonlinearity long lagging of fast steering mirror(FSM),the fine tracking servo system was designed based on the proportion-integral-differential(PID) like neural network algorithm in free spatial optic(FSO) communication.With three layers of back propagation(BP) neural networks,the weights of neural network and the parameters could be adjusted to reduce beacon vibration by means of the function of self-learning and adaptability in real time,finally the system was optimally controlled with the mirror drived by piezoelectric ceramic(PZT) actuator on line.Experimental results demonstrate that the system effectively restrains 40Hz and less than 40Hz facular trembles,and can satisfy the tracking bandwidth in free space optic communication.Furthermore,the robust performance and real time are improved in the fine tracking servo system.
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Proportional views
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