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Research for Diagnosing Electronic Control Fault of Astronomical Telescope’s Armature Winding by Step Signal
Zhang Yulong1,2,3; Yang Shihai1,2; Gu Bozhong1,2
2016-10-24
Conference NameSPIE Vol.9682
Source Publication8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes
Conference Date2016-4-26
Conference PlaceSuzhou, China
Other Abstract
This paper puts forward a electronic fault diagnose method focusing on large-diameter astronomical telescope’s armature winding, and ascertains if it is the resistance or inductance which is out of order.

When it comes to armature winding’s electronic fault, give the angular position a step signal, and compare the outputs of five models of normal, larger-resistance, smaller-resistance, larger-inductance and smaller-inductance, so we can position the fault.

Firstly, we ascertain the transfer function of the angular position to the armature voltage, to analysis the output of armature voltage when the angular position’s input is step signal.

Secondly, ascertain the different armature currents’ characteristics after armature voltage pass through different armature models.

Finally, basing on the characteristics, we design two strategies of resistance and inductance separately.

The author use MATLAB/Simulink function to model and emulate with the hardware parameters of the 2.5m-caliber telescope, which China and France developed cooperatively for Russia.
 
Meanwhile, the author add a white noise disturbance to the armature voltage, the result shows its feasibility under a certain sized disturbance.
KeywordAstronomical Telescope Armature Winding Fault Diagnosis Step Signal Matlab/simulink
Subject Area天文技术与方法
Language英语
Document Type会议论文
Identifierhttp://ir.niaot.ac.cn/handle/114a32/1361
Collection会议论文
Affiliation1.南京天文光学技术研究所
2.中国科学院天文光学重点实验室
3.中国科学院大学
Recommended Citation
GB/T 7714
Zhang Yulong,Yang Shihai,Gu Bozhong. Research for Diagnosing Electronic Control Fault of Astronomical Telescope’s Armature Winding by Step Signal[C],2016.
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