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西安交通大学 [1]
北京航空航天大学 [1]
长春光学精密机械与物... [1]
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会议论文 [2]
期刊论文 [1]
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Dynamic numerical investigation of airborne vapor cycle cooling system
会议论文
IET Conference Publications
作者:
Miao, Z.
;
Liping, P.
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浏览/下载:10/0
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提交时间:2019/12/30
Computer simulation
Cooling systems
Electronic equipment
Evaporators
Flight envelopes
Flight simulators
Oscillators (electronic)
Refrigeration
Temperature control
Thermoelectric equipment
Airborne equipments
Dynamic performance
Electronic expansion valves
Management technologies
Numerical investigations
Refrigeration capacity
Refrigeration cycles
Vapor cycles
Electronic cooling
Design of lightning protection test generator for airborne equipment
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2015, 卷号: 41, 期号: [db:dc_citation_issue], 页码: 1673-1677
作者:
Liu, Shuai
;
Yang, Lanjun
;
Zhuang, Weichun
;
Wang, Wei
;
Huang, Dong
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浏览/下载:11/0
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提交时间:2019/12/02
Airborne electronic equipment
Airborne equipments
Circuit parameter
Combination wave generators
Damping coefficients
Generator
Injection test
Standard requirements
Random noise filtering technology of piezoelectricity gyro (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Qingjun L.
;
Yongming Y.
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提交时间:2013/03/25
Inertia sensing elements are usually adopted as the sensors of velocity stabilization loop in airborne photoelectric equipments
therefore we need to adopt filtering processing to reduce influence to control system. In this paper
which are constituted stabilized control system
we analyze the characteristic of noise gyro drift
that purpose is reducing the influence of the movement of carrier to visual axis of photoelectric probing system. But gyro
and utilize Kalman filtering technology to conduct filtering processing to output signal of gyro
especially the piezoelectricity gyro generates drift
this method can reduce output noise effectively. The simulation results show that the proposed filtering processing method can improve the low velocity characteristic. 2010 IEEE.
which is the main error source of photoelectric stabilized control system
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