Publication Details
Extended Reliability Analysis of Fault-Tolerant FPGA-based Robot Controller
Lojda Jakub, Ing., Ph.D. (DCSY)
Kotásek Zdeněk, doc. Ing., CSc.
Reliability Analysis, TMR, FPGA, Fault Tolerance, Robot Controller,
Reconfiguration.
The reliability of safety-critical systems is very important especially in case
of electronic systems which are working in environment with increased occurrence
of faults. As an example, space, aerospace or medical systems can serve. Fault
tolerance is one of the techniques the goal of which is to avoid the impact of
faults on such systems. Lots of fault tolerance techniques exists and new ones
are under investigation. This paper is targeted mainly to Field Programmable Gate
Arrays (FPGAs) which are also the target technology of many fault tolerant
techniques. It is important to evaluate and test these techniques. This paper is
the continuation of our previously published research results which presents
experimental approach to evaluate such fault tolerance techniques by monitoring
the impact of faults in the experimental electro-mechanical system utilizing
robot navigation in a maze. However, in this paper, we research and compare
similarities of the theoretical estimation to various methods of the SEU
injection approaches. The theoretical estimation is calculated using known
equations. The impact of artificially faults injected into the electronic
controller, in which Triple Modular Redundancy is applied, is monitored and used
for statistic reliability analysis. This approach serves as a tool for the fast
reliability evaluation during the development process of fault tolerance
systems.
@inproceedings{BUT156290,
author="Jakub {Podivínský} and Jakub {Lojda} and Zdeněk {Kotásek}",
title="Extended Reliability Analysis of Fault-Tolerant FPGA-based Robot Controller",
booktitle="20th IEEE Latin American Test Symposium (LATS 2019)",
year="2019",
pages="97--100",
publisher="IEEE Computer Society",
address="Santiago",
doi="10.1109/LATW.2019.8704554",
isbn="978-1-7281-1756-0",
url="https://www.fit.vut.cz/research/publication/11863/"
}