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Optimizing Vehicle Motion Control for Generating Multiple Sensations
- Source :
- 2018 IEEE Intelligent Vehicles Symposium (IV’18), 2018 IEEE Intelligent Vehicles Symposium (IV’18), Jun 2018, Changshu, China, Intelligent Vehicles Symposium
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Most of automotive researches focus on autonomous vehicles. Studies regarding trajectory planning and trajectory tracking became preponderant. As in case of commercial ground vehicles there is a driver in the loop, one should raise the important question of how the trajectory should be tracked. In this paper, we investigate the influence of controlling integrated chassis systems on the vehicle's behavior. A fixed Model Predictive Control is used to track the trajectory. Tunable vehicle motion control is however used to provide different motion feelings. Results show that a specific trajectory could be followed in different manners. Therefore, vehicle dynamics can be and should be controlled in such a way to generate adaptive trust feelings to passengers in case of autonomous driving.
- Subjects :
- Optimization
0209 industrial biotechnology
Focus (computing)
Vehicle Motion Control
Chassis
Computer science
business.industry
020208 electrical & electronic engineering
Automotive industry
Control engineering
02 engineering and technology
Motion control
Autonomous Vehicles
Motion (physics)
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Vehicle dynamics
Model predictive control
020901 industrial engineering & automation
Chassis Systems
[SPI.AUTO] Engineering Sciences [physics]/Automatic
Control Allocation
0202 electrical engineering, electronic engineering, information engineering
Trajectory
Co-simulation
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE Intelligent Vehicles Symposium (IV’18), 2018 IEEE Intelligent Vehicles Symposium (IV’18), Jun 2018, Changshu, China, Intelligent Vehicles Symposium
- Accession number :
- edsair.doi.dedup.....102feebf7d831da1d19f323f0e590f32