Title | ||
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Event-Triggered Eco-Driving With Sliding Mode Control for an Electric Vehicle in Urban Traffic Networks |
Abstract | ||
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This paper deals with an eco-driving control problem for autonomous electric vehicles in urban traffic networks with signalized intersections. Specifically, a novel control scheme is proposed to make the vehicle travel through a sequence of signalized intersections while always catching green lights with minimum energy consumption. The proposal includes a speed reference generator, a sliding mode local controller and an event-triggered decision maker whose intelligence is provided by a pre-specified condition. This mechanism enables to determine when it is necessary to re-plan a new optimal velocity profile by the speed planner, which solves a sub-optimal version of the non-convex eco-driving optimal control problem due to the traffic lights constraints. The sliding mode controller instead enables a finite time tracking of the optimized speed reference and plays the role of compensator of the uncertainties affecting the vehicle dynamics. Such a robustness property in turn allows to limit the triggering events when a new optimization is solved to update the speed reference profile. The performance of the whole control scheme are finally assessed in simulation. |
Year | DOI | Venue |
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2022 | 10.23919/ECC55457.2022.9838337 | 2022 EUROPEAN CONTROL CONFERENCE (ECC) |
Keywords | DocType | Citations |
Eco-driving control, sliding mode control, event-triggered control, optimization | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gian Paolo Incremona | 1 | 0 | 2.70 |
Antonella Ferrara | 2 | 0 | 0.34 |