Control of a Quadcopter Application With Devs

Ruiz-Martín, Cristina; Al-Habashna, Alara; Wainer, Gabriel; Belloli, Laouen

doi:10.23919/springsim.2019.8732889

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The DEVS formalism decomposes complex systems into atomic and coupled models, where the atomic models specify the behavior, and the coupled model specifies the structure [17]. Various real-time systems have been successfully developed using DEVS [18,19,20]. However, while the different methods developed to adapt DEVS methodology or other discrete event methods set the right foundation for CPS design, they are not formalized to handle faults within the modeling framework.…”

Section: Figure 1 Components Of a Cps [6]mentioning

confidence: 99%

“…Since the introduction of DEMES, some researchers have applied the methodology in developing simple applications, for example, an application of DEMES was presented in [89] where the authors developed a simple home automation system and in [19] where it was applied in the control of a small quadcopter. In both use cases, the authors were able to get simulation results as well as port the models to small hardware.…”

Section: Systems (Demes)mentioning

confidence: 99%

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A Robust Discrete Event Method for the Design of Cyber-Physical Systems

Boi-Ukeme¹

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The technological advancement in Cyber-Physical Systems (CPS) has seen more sophisticated hardware, leading to systems that are complex, interconnected, and require automation. This trend has made modern CPS fragile and susceptible to faults. Traditional methods for fault detection and diagnosis are unable to adequately scale up to handle the faults that occur in CPS because of the tight interconnectivity between the physical and cyber parts of CPS. Also, real-time requirements present new challenges that are not sufficiently addressed by traditional fault-tolerant design approaches, therefore more intelligent methods are now needed to deal with these faults. To address these issues, we propose an approach to formally define faults, detect, and diagnose faults, and accommodate faults for fault tolerance.For fault detection and diagnosis, we propose a generic fault detection and diagnosis (FDD) scheme capable of diagnosing CPS faults in real-time. The scheme is developed to accommodate different modeling methods but for clarity of explanation, we adapt it to the DEVS formalism. To test the scheme, we implemented a library to store fault codes in a data structure and developed intelligent logic to ensure faults are correctly detected and isolated. We also propose a purely data-driven approach to detect faults in CPS where we have no control over the design of the control system. Our data-driven methods thrive on setting rigorous processes and workflows to ensure that representative data is collected for CPS to ensure that FDD techniques perform optimally.

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