T1 Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture
A1 Viadero Monasterio, Fernando
A1 García Guzmán, Javier
A1 Melendez Useros, Miguel
A1 Jimenez Salas, Manuel
A1 López Boada, Beatriz
A1 López Boada, María Jesús
AB In recent years, there has been a significant integration of advanced technology into the automotive industry, aimed primarily at enhancing safety and ride comfort. While a notable proportion of these driver-assist systems focuses on skid prevention, insufficient attention has been paid to addressing other crucial scenarios, such as rollovers. The accurate estimation of slip and roll angles plays a vital role in ensuring vehicle control and safety, making these parameters essential, especially with the rise of modern technologies that incorporate networked communication and distributed computing. Furthermore, there exists a lag in the transmission of information between the various vehicle systems, including sensors, actuators, and controllers. This paper outlines the design of an IoT architecture that accurately estimates the sideslip angle and roll angle of a vehicle, while addressing network transmission delays with a networked control system and an event-triggered communication scheme. Experimental results are presented to validate the performance of the IoT architecture proposed. The event-triggered scheme of the IoT solution is used to decrease data transmission and prevent network overload.
PB MDPI
YR 2024
FD 2024-01-11
LK https://hdl.handle.net/10016/39331
UL https://hdl.handle.net/10016/39331
LA eng
NO Funding. Grant [ PID2022-136468OB-I00 ] funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”.
DS e-Archivo
RD 30 jun. 2024