Let’s Get the Real into Real-Time Computing

Author(s):  
J.A. Stankovic
Author(s):  
Jiyang Yu ◽  
Dan Huang ◽  
Siyang Zhao ◽  
Nan Pei ◽  
Huixia Cheng ◽  
...  

2020 ◽  
Vol 32 (5) ◽  
pp. 994-999
Author(s):  
Kazushi Sanada ◽  

A laminar flowmeter that estimates the unsteady flowrate in a pipe using a Kalman filter is proposed. The laminar flowmeter has 32 narrow pipes. Kalman filtering is applied to one of the narrow pipes to estimate its flowrate. Three pressure sensors are connected to the narrow pipe. Upstream and downstream pressure signals are applied to a model of pipeline dynamics. The midpoint pressure is calculated and compared with the measured value. The error signal is fed back to the model. According to the principle of the Kalman filter, the estimated flowrate converges to the real flowrate. The Kalman-filtering estimation is conducted in a real-time computing system. In this study, the steady flowrate in a pipe is estimated and calibrated with measured data. The proposed Kalman-filtering-based laminar flowmeter demonstrates very promising performance.


2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.


Author(s):  
Vladimir V. NEKRASOV

Developing a microcontroller-based system for controlling the flywheel motor of high-dynamics spacecraft using Russian-made parts and components made it possible to make statement of the problem of searching control function for a preset rotation rate of the flywheel rotor. This paper discusses one of the possible options for mathematical study of the stated problem, namely, application of structural analysis based on graph theory. Within the framework of the stated problem a graph was constructed for generating the new required rate, while in order to consider the stochastic case option the incidence and adjacency matrices were constructed. The stated problem was solved using a power matrix which transforms a set of contiguous matrices of the graph of admissible solution edge sequences, the real-time control function was found. Based on the results of this work, operational trials were run for the developed control function of the flywheel motor rotor rotation rate, a math model was constructed for the real-time control function, and conclusions were drawn about the feasibility of implementing the results of this study. Key words: Control function, graph, incidence matrix, adjacency matrix, power matrix, microcontroller control of the flywheel motor, highly dynamic spacecraft.


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