Real-time mission simulation test for AXAF-I

Author(s):  
J.C. Brewer ◽  
L.G. Jackson ◽  
C. Lurie ◽  
S. Foroozan
2013 ◽  
Vol 278-280 ◽  
pp. 905-914
Author(s):  
Wen Tao Gu ◽  
Shao Kun Lei ◽  
Fang Li ◽  
Shao Wei Zhou

To meet the high real-time performance and high accuracy requirements of signal detection in the rail splicing process, this paper proposes a new type of magnetic grid rail splicing method based on accurately zeroing output signal phase difference of two magnetic grid reading heads, thus establishing two reading heads “shift” rules. The accurate zero setting technology of phase difference is based on Nuttall window algorithm, which doesn’t need to give the exact signal frequency beforehand and sample periodically, and can effectively eliminate phase errors. So this algorithm is suitable for detecting signal phase difference when reading heads go over buff joints with any speed at any initial position. Additionally, simulation test and experimental verification were performed on this detection algorithm and “shift” rules. The results show that, the method mentioned in this paper can real-time detect the phase difference by “shift” rules, when reading heads go over buff joints with any speed or any acceleration.


2012 ◽  
Vol 433-440 ◽  
pp. 2699-2705 ◽  
Author(s):  
J. Mo ◽  
B. Liu ◽  
J.C Tan

IEC 61850-9-2 proposes the process bus communication for protection and automation within substations. The actual performance of process bus such as real-time, security and reliability are of concern, when transmission of sample values and trip signals over the same network. This paper presents the establishment of a dynamic simulation test platform, in order to facilitate the test of protection schemes over the process bus. An example is given to demonstrate that incorrect switch configuration, message priority tagging, and the volumes of traffic on the network may have an impact on the real time and reliability of the signals to be delivered.


2013 ◽  
Vol 860-863 ◽  
pp. 1069-1072
Author(s):  
Rong Chun Sun ◽  
Yan Xin Yu

To realize the online error analysis and verification of control strategy, it is necessary to simulate the states of the motion mechanism, and accurately to obtain the motion relationship between multi-axis and between motors. So a test and simulation system of multi-axis controller was designed. The system consists of a unit of real-time acquisition and analysis, a simulation unit of motor loads, a motherboard and a computer. Motor driving signals for multi channels are synchronously sampled and analyzed by the unit of acquisition and analysis. Motherboard is used to link the various parts. The working states of motor divers under loads are simulated by simulating the motor loads. In the industrial computer, the control effects of multi-axis control system are displayed by 3D simulation. Test results show that the system is stable and reliable, and has a certain application value.


2011 ◽  
Vol 47 (2) ◽  
pp. 853-860 ◽  
Author(s):  
Oscar Lucia ◽  
Isidro Urriza ◽  
Luis A. Barragan ◽  
Denis Navarro ◽  
Oscar Jimenez ◽  
...  

Author(s):  
Zachary Glaros ◽  
Robert E. Carvalho ◽  
Erin E. Flynn-Evans

Objective We assessed operator performance during a real-time reactive telerobotic lunar mission simulation to understand how daytime versus nighttime operations might affect sleepiness, performance, and workload. Background Control center operations present factors that can influence sleepiness, neurobehavioral performance, and workload. Each spaceflight mission poses unique challenges that make it difficult to predict how long operators can safely and accurately conduct operations. We aimed to evaluate the performance impact of time-on-task and time-of-day using a simulated telerobotic lunar rover to better inform staffing and scheduling needs for the upcoming Volatiles Investigating Polar Exploration Rover (VIPER) mission. Methods We studied seven trained operators in a simulated mission control environment. Operators completed two five-hour simulations in a randomized order, beginning at noon and midnight. Performance was evaluated every 25 minutes using the Karolinska Sleepiness Scale, Psychomotor Vigilance Task, and NASA Task Load Index. Results Participants rated themselves as sleepier (5.06 ± 2.28) on the midnight compared to the noon simulation (3.12 ± 1.44; p < .001). Reaction time worsened over time during the midnight simulation but did not vary between simulations. Workload was rated higher during the noon (37.93 ± 20.09) compared to the midnight simulation (32.09 ± 21.74; p = .007). Conclusion Our findings suggest that work shifts during future operations should be limited in duration to minimize sleepiness. Our findings also suggest that working during the day, when distractions are present, increases perceived workload. Further research is needed to understand how working consecutive shifts and taking breaks within a shift influence performance.


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