Transmission Times Reconstruction in a Telecontrolled Real-Time System

Martínez, Jorge Salvador Valdez; Reyes, Gustavo Delgado; López, Pedro Guevara; Rosas, Jose Luis Cano

doi:10.1109/tla.2019.8863304

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the comparison of the behavior of the measured and reconstructed times, it can be concluded that there is convergence in almost all points, so there is no difference between them. In this case, as well as with τRx,k and τc,k , the obtained results are very close to the measured times T C,k for all values of k. However, it is considered that this argument is not enough, which leads to the use of descriptive measures such as the first-and second-order moment of probability, and the mean squared error to validate this result [3,27,30].…”

Section: Reconstruction Of Communication Times Using the Kalman Filtersupporting

confidence: 70%

“…The mathematical modeling of transmission and reception times is not a trivial task because they have a behavior that is strongly related to latency in the communication network, and therefore, they have completely random behavior. In this context, they can be modeled by stochastic processes [29] or, failing that, tried in reconstruction techniques for analysis and characterization [30].…”

Section: Model For Reconstruction Of the Communication Times In A Tel...mentioning

confidence: 99%

“…To obtain telecontrol times measurement, the software architecture reported in [2,3,30], which is a modular multi-client-server communication scheme, was taken into consideration. The server implementation was performed on a dual processor computer with a speed of 1.6 GigaHertz, 4 Gigabytes of RAM, and the QNX 6.5 Neutrino real-time operating system (RTOS) [33].…”

Section: Telecontrol System Servermentioning

confidence: 99%

See 2 more Smart Citations

Communication Times Reconstruction in a Telecontrolled Client–Server Scheme: An Approach by Kalman Filter Applied to a Proprietary Real-Time Operating System and TCP/IP Protocol

Martínez¹,

López

Delgado-Reyes

et al. 2022

Mathematics

Self Cite

View full text Add to dashboard Cite

Nowadays, various systems were developed in the telecommunications field which make use of technologies for the transmission and reception of information. One of these technologies is the Internet, which was developed in tandem with scientific growth. Therefore, its application in the control of various industrial processes has a notable influence. In this context, there are industrial processes that, due to the potential danger they represent to human beings, must be controlled by means of a remote control system. Such systems can be implemented through client–server communication schemes, which form a network of computers to exchange information. In the exchange of information, delay times are generated. These inactivity times have a close relationship with the latency in the communication network and have a negative impact on the performance of closed-loop control systems. In this sense, for physical implementation, it is essential to measure and mathematically characterize their magnitudes in order to know their variability and thus be able to design control strategies that compensate for their effects. Hence, this research paper presents the reconstruction of the communication times measured from a telecontrol system, where it is assumed that only one subsystem acts as the controller and the other one acts as the controlled. In other words, this paper addresses a control scheme type of single-input-single-output system (SISO). This reconstruction is based on the Kalman filter, which estimates the communication times that are measured on an experimental test bench with a client–server communication scheme. Communication times are characterized as stochastic processes. So, in order to validate the reconstruction presented, the level of dependence between the random processes is evaluated by analyzing their moments of probability as well as their covariance moments. Finally, an analysis based on the mean square error is presented, through which it can be concluded that the reconstruction technique used allows one to know the dynamics of the communication times generated by the remote control process presented in this research.

show abstract

Section: Reconstruction Of Communication Times Using the Kalman Filtersupporting

confidence: 70%

Section: Model For Reconstruction Of the Communication Times In A Tel...mentioning

confidence: 99%