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The designed sea wave impact simulation system
can be used to substitute fire control system of
shipborne weapon system in land-based test, which
realizes the simulation of flight path signal and sea
wave impact effect on ships by multiplexed control
signal input method. In this way, the requirements of
OT&E for shipborne weapon system are satisfied.
The novel method has been verified in T&E of
certain type of naval gun weapon system. Tracking
errors for different flight path under three levels of
sea conditions (level 0, 4, and 7) are listed in Table
1.
Table 1: Maximum tracking error of target path under
different sea conditions.
Path type
Level 0
h
1/3
= 0 m
Level 4
h
1/3
= 1.2 m
Level 7
h
1/3
= 6.0 m
A 1.0575 1.2167 2.2064
B 1.7228 1.8463 2.0570
C 1.8087 2.0232 2.5734
D 1.8097 1.9197 3.0981
E 0.2379 1.2565 1.9102
In table 1, A denotes horizontal uniform speed
linear path; B is horizontal uniform acceleration
linear path; C is gliding descent path; D is diving
flight path; E is circling path.
As shown in table 1, maximum tracking errors
under level 4 sea condition for five typical target
paths rise from 6.07% to 428.16% compared with
that under level 0 sea condition, while maximum
tracking errors under level 7 sea condition could rise
from 19.40% to 702.94%. It is thus clear that
tracking errors of shipborne weapon system for
different flight paths diverse from each other, and
they increase according to sea wave condition level.
The sea wave impact simulation system and the
method introduced in this paper have been
successfully applied in land-based AT&E of many
weapon systems. Application results indicate that the
system takes on features of correct principle,
scientific method, easy to operate, high measuring
accuracy, and stable control characteristics. Besides,
the application of sea wave impact simulation
system could shorten test period remarkably with
less consumption and improved quality by providing
a realistic target flight path in a realistic combat
scenario (sea battlefield environment).
REFERENCES
Bian, X. L., Sheng, H. J. and Dai, D. C., 2011. Analysis on
Requests of Unmanned Aerial Vehicle False Target
Jamming Validity. In SHIPBOARD ELECTRONIC
COUNTER MEASURE.
Cao, G. H., Dong, G. L., Dong, Y. L., et al., 2009.
Simulation Study of Ocean Wave Impact Load for
Shipborne Weapon System's Terrestrial Type
Approval Test. In Journal of System Simulation.
Defense Acquisition University, 2012. TEST AND
EVALUATION MANAGEMENT GUIDE, The Defense
Acquisition University Press, 6
th
Edition.
Du, H. J., Lei, J. and Yu, H., 2010. Injected Modelling and
Simulation of Dynamic Infrared Scene. In Infrared
and Laser Engineering.
Fu, X. W. and Gao, X. G., 2004. Study on a Kind of Path
Planning Algorithm for UAV. In Journal of System
Simulation.
He, C., Dong, G. L., Cai, C. Y., et al, 2011. Design of
Shock Simulation System for Shipborne Weapons
Based on Electro hydraulic Servomotor. In the 2
nd
International Conference on Mechanic Automation
and Control Engineering.
He, C., Dong, Q. S., Han, Y. H., et al, 2009. Design for
Load Simulation System of Naval Gun Servo System.
In Journal of System Simulation.
He, C., Huang. C. F., Li, Q., et al., 2013. Development on
New Sea Wave Simulation System for Shipborne
Weapons. In Journal of System Simulation.
Li, G., Xu, L. Q. and Chen, K., 2004. Study and
Realization of Load Simulation of Servo System of
Naval Gun. In GUN LAUNCH
&
CONTROL
JOURNAL.
Li, P. and Duan, H. B., 2012. Path planning of unmanned
aerial vehicle based on improved gravitational search
algorithm. In Sci China Tech Sci, SCIENCE CHINA
PRESS.
Liu, M., Zou, J., Feng, X., et al., 2011. Smooth trajectory
planning of an unmanned aerial vehicle using an
artificial bee colony algorithm. In CAAI Transactions
on Intelligent Systems.
Luo, Y., 2007. Modelling and Simulation for IMU of
Shipboard Weapons in the Condition of Waves. In
Journal of Naval Aeronautical Engineering Institute.
Wang, X. W., Shen, T. S. and Zhou, X. D., 2004. An
Evaluation System of Infrared Imaging Guiding
Algorithm Based on the Signal Injection Simulation.
In Journal of System Simulation.
Wu, J. H., Li, H., Xu, Z. L., et al., 2012. Theoretical
Research on IR Capturing and Tracking Device
Simulation Based on Digital Image Injection. In
Infrared and Laser Engineering.
Yin, Q. and Chen, H. W., 2007. The Simulation of Ship’s
Motion on Random Wave. In J. Microelectronics &
Computer.
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