info:eu-repo/semantics/masterThesis
A method to estimate the reliability of FPGA-based architectures for space systems
Autor
JUAN ANDRES PEREZ CELIS
Resumen
The use of Static Random-Access Memory (SRAM)-based Field Programmable Gate
Arrays (FPGAs) in space systems is gaining a growing interest. The high-computational
power, the ability to reconfigure and the flexibility of FPGAs at low power make them
suitable devices for space applications. Nevertheless, FPGAs are susceptible to Single
Event Upsets which may cause an operational failure, leading to a decrease of the
reliability. Fault Mitigation Techniques (FMT) are used to increase the reliability,
making the architecture suitable for operating in the space. However, estimating the
reliability of a FPGA design can be challenging. The preferred method consists of
placing the FPGA under a high-energy particle beam and performing the test iteratively
to estimate the reliability. The iterative process makes radiation testing prohibitive for
many space applications, as the monetary cost and time spent for radiation testing is
extremely high.
This thesis proposes a method for determining the reliability of an FPGA
architecture with FMTs applied based on the failure rate of an unmitigated design.
The method uses Markov chains to model the architecture and estimate the reliability.
An unmitigated design and a mitigated design were developed and placed under a
neutron beam to estimate the reliability. The mitigated design decreases the sensible
area, i.e. increases the reliability, by a factor of 20:18. The mitigated design is a
triplication of the mitigated design with additional voters placed throughout the
architecture. Two models resembling the behavior of the mitigated design with a
Medium Grain Triple Modular Redundancy (MGTMR) are proposed. The difference
of the models lies in the addition of shared-resources modules. The results of the
models show that the estimation of reliability is close to that obtained through
neutron testing.
Materias
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