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Optimal Control of a Formula One Car on a Three-Dimensional Track—Part 1: Track Modeling and Identification
Author(s) -
Giacomo Perantoni,
D.J.N. Limebeer
Publication year - 2014
Publication title -
journal of dynamic systems measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 89
eISSN - 1528-9028
pISSN - 0022-0434
DOI - 10.1115/1.4028253
Subject(s) - track (disk drive) , curvilinear coordinates , curvature , smoothing , identification (biology) , displacement (psychology) , optimal control , enhanced data rates for gsm evolution , boundary (topology) , mathematics , computer science , algorithm , geometry , mathematical optimization , mathematical analysis , computer vision , psychology , botany , psychotherapist , biology , operating system
The identification of three-dimensional race track models from noisy measured GPS data is treated as a problem in the differential geometry of curves and surfaces. Curvilinear coordinates are adopted to facilitate the use of the track model in the solution of vehicular optimal control problems. Our proposal is to model race tracks using a generalised Frenet-Serret apparatus, so that the track is specified in terms of three displacement-dependent curvatures and two edge variables. The optimal smoothing of the curvature and edge variables is achieved using numerical optimal control techniques. Track closure is enforced through the boundary conditions associated with the optimal control problem. The Barcelona Formula One track is used as an illustrative example

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