Bibliographies thématiques / Optimal Control, Vehicle Dynamics, Autonomous Racing, Minimum Lap Time

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Littérature scientifique sur le sujet « Optimal Control, Vehicle Dynamics, Autonomous Racing, Minimum Lap Time »

Auteur : Grafiati
Publié le 11 mars 2023

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Articles de revues sur le sujet "Optimal Control, Vehicle Dynamics, Autonomous Racing, Minimum Lap Time"

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Montani, Margherita, Leandro Ronchi, Renzo Capitani, and Claudio Annicchiarico. "A Hierarchical Autonomous Driver for a Racing Car: Real-Time Planning and Tracking of the Trajectory." Energies 14, no. 19 (2021): 6008. http://dx.doi.org/10.3390/en14196008.

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The aim of this study was to develop trajectory planning that would allow an autonomous racing car to be driven as close as possible to what a driver would do, defining the most appropriate inputs for the current scenario. The search for the optimal trajectory in terms of lap time reduction involves the modeling of all the non-linearities of the vehicle dynamics with the disadvantage of being a time-consuming problem and not being able to be implemented in real-time. However, to improve the vehicle performances, the trajectory needs to be optimized online with the knowledge of the actual vehic
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Kapania, Nitin R., John Subosits, and J. Christian Gerdes. "A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories." Journal of Dynamic Systems, Measurement, and Control 138, no. 9 (2016). http://dx.doi.org/10.1115/1.4033311.

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The problem of maneuvering a vehicle through a race course in minimum time requires computation of both longitudinal (brake and throttle) and lateral (steering wheel) control inputs. Unfortunately, solving the resulting nonlinear optimal control problem is typically computationally expensive and infeasible for real-time trajectory planning. This paper presents an iterative algorithm that divides the path generation task into two sequential subproblems that are significantly easier to solve. Given an initial path through the race track, the algorithm runs a forward–backward integration scheme t
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Chapitres de livres sur le sujet "Optimal Control, Vehicle Dynamics, Autonomous Racing, Minimum Lap Time"

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Limebeer, David J. N., and Matteo Massaro. "Vehicular Optimal Control." In Dynamics and Optimal Control of Road Vehicles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825715.003.0009.

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Chapter 9 deals with the solution of minimum-time and minimum-fuel vehicular optimal control problems. These problems are posed as fuel usage optimization problems under a time-of-arrival constraint, or minimum-time problems under a fuel usage constraint. The first example considers three variants of a simple fuel usage minimization problem under a time-of-arrival constraint. The first variant is worked out theoretically, and serves to highlight several of the structural features of these problems; the other two more complicated variants are solved numerically.The second example is also a multi-stage fuel usage minimization problem under a timeof- arrival constraint.More complicated track and vehicle models are then employed; the problem is solved numerically. The third problem is a lap time minimization problem taken from Formula One and features a thermoelectric hybrid powertrain. The fourth and final problem is a minimum-time closed-circuit racing problem featuring a racing motorcycle and rider.
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Actes de conférences sur le sujet "Optimal Control, Vehicle Dynamics, Autonomous Racing, Minimum Lap Time"

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Biral, Francesco, Fabrizio Zendri, Enrico Bertolazzi, et al. "A Web Based “Virtual Racing Car Championship” to Teach Vehicle Dynamics and Multidisciplinary Design." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65245.

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A web based VRCC (Virtual Racing Car Championship) application is here presented. The application is intended for educational purposes to teach students a variety of topics of the teaching course “Vehicle Dynamics and Control” in Mechatronics Master Degree Course; the present application forces students to understand the relevant parameters that govern the dynamic performance of racing cars. The application relies on an optimal control library, which is capable of calculating minimum lap times of a racing car on the basis of a comprehensive symbolic description of an open-wheel racing car dyna
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Kapania, Nitin R., John Subosits, and J. Christian Gerdes. "A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9757.

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The problem of maneuvering a vehicle through a race course in minimum time requires computation of both longitudinal (brake and throttle) and lateral (steering wheel) control inputs. Unfortunately, solving the resulting nonlinear optimal control problem is typically computationally expensive and infeasible for real-time trajectory planning. This paper presents an iterative algorithm that divides the path generation task into two sequential subproblems that are significantly easier to solve. Given an initial path through the race track, the algorithm runs a forward-backward integration scheme t
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