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长春光学精密机械与物... [5]
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会议论文 [2]
学位论文 [2]
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专题:长春光学精密机械与物理研究所
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Analysis and Compensation of Image Rotation in Internally Mounted Scanning System for Aerial Electric-Optical Reconnaissance Platform
期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2017, 卷号: 37, 期号: 9
作者:
Wang, P.
;
D. Tian
;
N. Xu and D. Xu
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浏览/下载:18/0
  |  
提交时间:2018/06/13
电动舵机的非线性因素模糊PID控制
学位论文
硕士: 中国科学院大学, 2015
作者:
汪镇波
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浏览/下载:57/0
  |  
提交时间:2016/04/11
非线性因素
电动舵机
模糊控制
自适应
DSP
紫外临边成像光谱仪的热控制技术研究
学位论文
博士: 中国科学院大学, 2014
宋昕
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浏览/下载:88/0
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提交时间:2014/08/21
The aircraft autopilot design of parameters changing in a wide range (EI CONFERENCE)
会议论文
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China
Zhen D.
;
Yue Z.
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浏览/下载:20/0
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提交时间:2013/03/25
Autopilot is an important part of aircraft
Under the action of the disturbance torque
for the flight parameters of aircraft Changing in a wide range
the range was about 16km
on the basic of analyzing the typical trajectory
the max height was about 5100m
the trajectory of feature points were selected
the deviation of lateral was about 12m
taking pitch control loop for example
the maximum angle of attack was about 3.6
a sub- PID autopilot was designed using classical control theory
the maximum elevator deflection was less than 5
using single-mode Transient suppression method
the maximum aileron deflection was less than 2
the overload due to control surface transition deflection was avoided when control parameters changing
the maximum roll was less than 5
the verification was done by non-linear simulation. The result showed that: the phase margin of autopilot was greater than 30
the response of overload can accurately track the given overload instruction. An autopilot design method of aircraft of parameter changes in a wide range was provided. 2011 IEEE.
the bandwidth was more than 14rad / s
the settling time was less than 0.7s
the maximum overshoot was 23.3%
Arc fault signatures detection on aircraft wiring system (EI CONFERENCE)
会议论文
6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China
Hongkun Z.
;
Tao C.
;
Wenjun L.
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浏览/下载:18/0
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提交时间:2013/03/25
In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components
each of which Is a time-domain signal that covers a specific frequency band. Thus
more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result
by quantifying the extracted features
an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.
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