Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture
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 addressin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/1/53 |
| _version_ | 1797343142111870976 |
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| author | Fernando Viadero-Monasterio Javier García Miguel Meléndez-Useros Manuel Jiménez-Salas Beatriz López Boada María Jesús López Boada |
| author_facet | Fernando Viadero-Monasterio Javier García Miguel Meléndez-Useros Manuel Jiménez-Salas Beatriz López Boada María Jesús López Boada |
| author_sort | Fernando Viadero-Monasterio |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:43:28Z |
| format | Article |
| id | doaj.art-83442b14e3ea4d9a80fc0dc043202a78 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-08T10:43:28Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-83442b14e3ea4d9a80fc0dc043202a782024-01-26T17:24:22ZengMDPI AGMachines2075-17022024-01-011215310.3390/machines12010053Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT ArchitectureFernando Viadero-Monasterio0Javier García1Miguel Meléndez-Useros2Manuel Jiménez-Salas3Beatriz López Boada4María Jesús López Boada5Mechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainComputer Science and Software Engineering Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainMechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainMechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainMechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainMechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, SpainIn 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.https://www.mdpi.com/2075-1702/12/1/53roll angle estimationsideslip angle estimationIoTevent-triggering |
| spellingShingle | Fernando Viadero-Monasterio Javier García Miguel Meléndez-Useros Manuel Jiménez-Salas Beatriz López Boada María Jesús López Boada Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture Machines roll angle estimation sideslip angle estimation IoT event-triggering |
| title | Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture |
| title_full | Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture |
| title_fullStr | Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture |
| title_full_unstemmed | Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture |
| title_short | Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture |
| title_sort | simultaneous estimation of vehicle sideslip and roll angles using an event triggered based iot architecture |
| topic | roll angle estimation sideslip angle estimation IoT event-triggering |
| url | https://www.mdpi.com/2075-1702/12/1/53 |
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